-
Amir, A.; Feldman, R.; Kashi, R.: ¬A new and versatile method for association generation (1997)
0.02
0.022273093 = product of:
0.061251003 = sum of:
0.0076523502 = weight(_text_:a in 1270) [ClassicSimilarity], result of:
0.0076523502 = score(doc=1270,freq=12.0), product of:
0.030653298 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.026584605 = queryNorm
0.24964198 = fieldWeight in 1270, product of:
3.4641016 = tf(freq=12.0), with freq of:
12.0 = termFreq=12.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.0625 = fieldNorm(doc=1270)
0.036413636 = weight(_text_:r in 1270) [ClassicSimilarity], result of:
0.036413636 = score(doc=1270,freq=4.0), product of:
0.088001914 = queryWeight, product of:
3.3102584 = idf(docFreq=4387, maxDocs=44218)
0.026584605 = queryNorm
0.4137823 = fieldWeight in 1270, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.3102584 = idf(docFreq=4387, maxDocs=44218)
0.0625 = fieldNorm(doc=1270)
0.0027776284 = weight(_text_:s in 1270) [ClassicSimilarity], result of:
0.0027776284 = score(doc=1270,freq=2.0), product of:
0.028903782 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.026584605 = queryNorm
0.09609913 = fieldWeight in 1270, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.0625 = fieldNorm(doc=1270)
0.014407388 = product of:
0.028814776 = sum of:
0.028814776 = weight(_text_:22 in 1270) [ClassicSimilarity], result of:
0.028814776 = score(doc=1270,freq=2.0), product of:
0.09309476 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.026584605 = queryNorm
0.30952093 = fieldWeight in 1270, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0625 = fieldNorm(doc=1270)
0.5 = coord(1/2)
0.36363637 = coord(4/11)
- Abstract
- Current algorithms for finding associations among the attributes describing data in a database have a number of shortcomings. Presents a novel method for association generation, that answers all desiderata. The method is different from all existing algorithms and especially suitable to textual databases with binary attributes. Uses subword trees for quick indexing into the required database statistics. Tests the algorithm on the Reuters-22173 database with satisfactory results
- Source
- Information systems. 22(1997) nos.5/6, S.333-347
- Type
- a
-
Ohly, H.P.: Bibliometric mining : added value from document analysis and retrieval (2008)
0.02
0.016960982 = product of:
0.0466427 = sum of:
0.0023430442 = weight(_text_:a in 2386) [ClassicSimilarity], result of:
0.0023430442 = score(doc=2386,freq=2.0), product of:
0.030653298 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.026584605 = queryNorm
0.07643694 = fieldWeight in 2386, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.046875 = fieldNorm(doc=2386)
0.00294612 = weight(_text_:s in 2386) [ClassicSimilarity], result of:
0.00294612 = score(doc=2386,freq=4.0), product of:
0.028903782 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.026584605 = queryNorm
0.101928525 = fieldWeight in 2386, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.046875 = fieldNorm(doc=2386)
0.018895645 = weight(_text_:u in 2386) [ClassicSimilarity], result of:
0.018895645 = score(doc=2386,freq=2.0), product of:
0.08704981 = queryWeight, product of:
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.026584605 = queryNorm
0.21706703 = fieldWeight in 2386, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.046875 = fieldNorm(doc=2386)
0.022457888 = weight(_text_:k in 2386) [ClassicSimilarity], result of:
0.022457888 = score(doc=2386,freq=2.0), product of:
0.09490114 = queryWeight, product of:
3.569778 = idf(docFreq=3384, maxDocs=44218)
0.026584605 = queryNorm
0.23664509 = fieldWeight in 2386, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.569778 = idf(docFreq=3384, maxDocs=44218)
0.046875 = fieldNorm(doc=2386)
0.36363637 = coord(4/11)
- Pages
- S.181-186
- Source
- Kompatibilität, Medien und Ethik in der Wissensorganisation - Compatibility, Media and Ethics in Knowledge Organization: Proceedings der 10. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation Wien, 3.-5. Juli 2006 - Proceedings of the 10th Conference of the German Section of the International Society of Knowledge Organization Vienna, 3-5 July 2006. Ed.: H.P. Ohly, S. Netscher u. K. Mitgutsch
- Type
- a
-
Hereth, J.; Stumme, G.; Wille, R.; Wille, U.: Conceptual knowledge discovery and data analysis (2000)
0.02
0.01637223 = product of:
0.04502363 = sum of:
0.004782719 = weight(_text_:a in 5083) [ClassicSimilarity], result of:
0.004782719 = score(doc=5083,freq=12.0), product of:
0.030653298 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.026584605 = queryNorm
0.15602624 = fieldWeight in 5083, product of:
3.4641016 = tf(freq=12.0), with freq of:
12.0 = termFreq=12.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.0390625 = fieldNorm(doc=5083)
0.022758523 = weight(_text_:r in 5083) [ClassicSimilarity], result of:
0.022758523 = score(doc=5083,freq=4.0), product of:
0.088001914 = queryWeight, product of:
3.3102584 = idf(docFreq=4387, maxDocs=44218)
0.026584605 = queryNorm
0.25861394 = fieldWeight in 5083, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.3102584 = idf(docFreq=4387, maxDocs=44218)
0.0390625 = fieldNorm(doc=5083)
0.0017360178 = weight(_text_:s in 5083) [ClassicSimilarity], result of:
0.0017360178 = score(doc=5083,freq=2.0), product of:
0.028903782 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.026584605 = queryNorm
0.060061958 = fieldWeight in 5083, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.0390625 = fieldNorm(doc=5083)
0.015746372 = weight(_text_:u in 5083) [ClassicSimilarity], result of:
0.015746372 = score(doc=5083,freq=2.0), product of:
0.08704981 = queryWeight, product of:
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.026584605 = queryNorm
0.1808892 = fieldWeight in 5083, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.0390625 = fieldNorm(doc=5083)
0.36363637 = coord(4/11)
- Abstract
- In this paper, we discuss Conceptual Knowledge Discovery in Databases (CKDD) in its connection with Data Analysis. Our approach is based on Formal Concept Analysis, a mathematical theory which has been developed and proven useful during the last 20 years. Formal Concept Analysis has led to a theory of conceptual information systems which has been applied by using the management system TOSCANA in a wide range of domains. In this paper, we use such an application in database marketing to demonstrate how methods and procedures of CKDD can be applied in Data Analysis. In particular, we show the interplay and integration of data mining and data analysis techniques based on Formal Concept Analysis. The main concern of this paper is to explain how the transition from data to knowledge can be supported by a TOSCANA system. To clarify the transition steps we discuss their correspondence to the five levels of knowledge representation established by R. Brachman and to the steps of empirically grounded theory building proposed by A. Strauss and J. Corbin
- Pages
- S.421-437
- Type
- a
-
Kulathuramaiyer, N.; Maurer, H.: Implications of emerging data mining (2009)
0.01
0.01186071 = product of:
0.03261695 = sum of:
0.0054389704 = product of:
0.010877941 = sum of:
0.010877941 = weight(_text_:h in 3144) [ClassicSimilarity], result of:
0.010877941 = score(doc=3144,freq=2.0), product of:
0.0660481 = queryWeight, product of:
2.4844491 = idf(docFreq=10020, maxDocs=44218)
0.026584605 = queryNorm
0.16469726 = fieldWeight in 3144, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.4844491 = idf(docFreq=10020, maxDocs=44218)
0.046875 = fieldNorm(doc=3144)
0.5 = coord(1/2)
0.0061991126 = weight(_text_:a in 3144) [ClassicSimilarity], result of:
0.0061991126 = score(doc=3144,freq=14.0), product of:
0.030653298 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.026584605 = queryNorm
0.20223314 = fieldWeight in 3144, product of:
3.7416575 = tf(freq=14.0), with freq of:
14.0 = termFreq=14.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.046875 = fieldNorm(doc=3144)
0.0020832212 = weight(_text_:s in 3144) [ClassicSimilarity], result of:
0.0020832212 = score(doc=3144,freq=2.0), product of:
0.028903782 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.026584605 = queryNorm
0.072074346 = fieldWeight in 3144, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.046875 = fieldNorm(doc=3144)
0.018895645 = weight(_text_:u in 3144) [ClassicSimilarity], result of:
0.018895645 = score(doc=3144,freq=2.0), product of:
0.08704981 = queryWeight, product of:
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.026584605 = queryNorm
0.21706703 = fieldWeight in 3144, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.046875 = fieldNorm(doc=3144)
0.36363637 = coord(4/11)
- Abstract
- Data Mining describes a technology that discovers non-trivial hidden patterns in a large collection of data. Although this technology has a tremendous impact on our lives, the invaluable contributions of this invisible technology often go unnoticed. This paper discusses advances in data mining while focusing on the emerging data mining capability. Such data mining applications perform multidimensional mining on a wide variety of heterogeneous data sources, providing solutions to many unresolved problems. This paper also highlights the advantages and disadvantages arising from the ever-expanding scope of data mining. Data Mining augments human intelligence by equipping us with a wealth of knowledge and by empowering us to perform our daily tasks better. As the mining scope and capacity increases, users and organizations become more willing to compromise privacy. The huge data stores of the 'master miners' allow them to gain deep insights into individual lifestyles and their social and behavioural patterns. Data integration and analysis capability of combining business and financial trends together with the ability to deterministically track market changes will drastically affect our lives.
- Pages
- S.469-483
- Source
- Social Semantic Web: Web 2.0, was nun? Hrsg.: A. Blumauer u. T. Pellegrini
- Type
- a
-
Fayyad, U.; Piatetsky-Shapiro, G.; Smyth, P.: From data mining to knowledge discovery in databases (1996)
0.01
0.010600869 = product of:
0.03886985 = sum of:
0.0039050733 = weight(_text_:a in 7458) [ClassicSimilarity], result of:
0.0039050733 = score(doc=7458,freq=2.0), product of:
0.030653298 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.026584605 = queryNorm
0.12739488 = fieldWeight in 7458, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.078125 = fieldNorm(doc=7458)
0.0034720355 = weight(_text_:s in 7458) [ClassicSimilarity], result of:
0.0034720355 = score(doc=7458,freq=2.0), product of:
0.028903782 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.026584605 = queryNorm
0.120123915 = fieldWeight in 7458, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.078125 = fieldNorm(doc=7458)
0.031492744 = weight(_text_:u in 7458) [ClassicSimilarity], result of:
0.031492744 = score(doc=7458,freq=2.0), product of:
0.08704981 = queryWeight, product of:
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.026584605 = queryNorm
0.3617784 = fieldWeight in 7458, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.078125 = fieldNorm(doc=7458)
0.27272728 = coord(3/11)
- Source
- AI magazine. 17(1996) no.3, S.37-54
- Type
- a
-
Chowdhury, G.G.: Template mining for information extraction from digital documents (1999)
0.01
0.009692967 = product of:
0.03554088 = sum of:
0.005467103 = weight(_text_:a in 4577) [ClassicSimilarity], result of:
0.005467103 = score(doc=4577,freq=2.0), product of:
0.030653298 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.026584605 = queryNorm
0.17835285 = fieldWeight in 4577, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.109375 = fieldNorm(doc=4577)
0.0048608496 = weight(_text_:s in 4577) [ClassicSimilarity], result of:
0.0048608496 = score(doc=4577,freq=2.0), product of:
0.028903782 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.026584605 = queryNorm
0.16817348 = fieldWeight in 4577, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.109375 = fieldNorm(doc=4577)
0.025212929 = product of:
0.050425857 = sum of:
0.050425857 = weight(_text_:22 in 4577) [ClassicSimilarity], result of:
0.050425857 = score(doc=4577,freq=2.0), product of:
0.09309476 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.026584605 = queryNorm
0.5416616 = fieldWeight in 4577, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.109375 = fieldNorm(doc=4577)
0.5 = coord(1/2)
0.27272728 = coord(3/11)
- Date
- 2. 4.2000 18:01:22
- Source
- Library trends. 48(1999) no.1, S.182-208
- Type
- a
-
Chardonnens, A.; Hengchen, S.: Text mining for cultural heritage institutions : a 5-step method for cultural heritage institutions (2017)
0.01
0.009418195 = product of:
0.03453338 = sum of:
0.005411029 = weight(_text_:a in 646) [ClassicSimilarity], result of:
0.005411029 = score(doc=646,freq=6.0), product of:
0.030653298 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.026584605 = queryNorm
0.17652355 = fieldWeight in 646, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.0625 = fieldNorm(doc=646)
0.00392816 = weight(_text_:s in 646) [ClassicSimilarity], result of:
0.00392816 = score(doc=646,freq=4.0), product of:
0.028903782 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.026584605 = queryNorm
0.1359047 = fieldWeight in 646, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.0625 = fieldNorm(doc=646)
0.025194194 = weight(_text_:u in 646) [ClassicSimilarity], result of:
0.025194194 = score(doc=646,freq=2.0), product of:
0.08704981 = queryWeight, product of:
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.026584605 = queryNorm
0.28942272 = fieldWeight in 646, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.0625 = fieldNorm(doc=646)
0.27272728 = coord(3/11)
- Pages
- S.177-191
- Source
- Everything changes, everything stays the same? - Understanding information spaces : Proceedings of the 15th International Symposium of Information Science (ISI 2017), Berlin/Germany, 13th - 15th March 2017. Eds.: M. Gäde, V. Trkulja u. V. Petras
- Type
- a
-
Hallonsten, O.; Holmberg, D.: Analyzing structural stratification in the Swedish higher education system : data contextualization with policy-history analysis (2013)
0.01
0.008854186 = product of:
0.024349011 = sum of:
0.0043660053 = weight(_text_:a in 668) [ClassicSimilarity], result of:
0.0043660053 = score(doc=668,freq=10.0), product of:
0.030653298 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.026584605 = queryNorm
0.14243183 = fieldWeight in 668, product of:
3.1622777 = tf(freq=10.0), with freq of:
10.0 = termFreq=10.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.0390625 = fieldNorm(doc=668)
0.00924237 = product of:
0.03696948 = sum of:
0.03696948 = weight(_text_:o in 668) [ClassicSimilarity], result of:
0.03696948 = score(doc=668,freq=2.0), product of:
0.13338262 = queryWeight, product of:
5.017288 = idf(docFreq=795, maxDocs=44218)
0.026584605 = queryNorm
0.27716863 = fieldWeight in 668, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
5.017288 = idf(docFreq=795, maxDocs=44218)
0.0390625 = fieldNorm(doc=668)
0.25 = coord(1/4)
0.0017360178 = weight(_text_:s in 668) [ClassicSimilarity], result of:
0.0017360178 = score(doc=668,freq=2.0), product of:
0.028903782 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.026584605 = queryNorm
0.060061958 = fieldWeight in 668, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.0390625 = fieldNorm(doc=668)
0.009004618 = product of:
0.018009236 = sum of:
0.018009236 = weight(_text_:22 in 668) [ClassicSimilarity], result of:
0.018009236 = score(doc=668,freq=2.0), product of:
0.09309476 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.026584605 = queryNorm
0.19345059 = fieldWeight in 668, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0390625 = fieldNorm(doc=668)
0.5 = coord(1/2)
0.36363637 = coord(4/11)
- Abstract
- 20th century massification of higher education and research in academia is said to have produced structurally stratified higher education systems in many countries. Most manifestly, the research mission of universities appears to be divisive. Authors have claimed that the Swedish system, while formally unified, has developed into a binary state, and statistics seem to support this conclusion. This article makes use of a comprehensive statistical data source on Swedish higher education institutions to illustrate stratification, and uses literature on Swedish research policy history to contextualize the statistics. Highlighting the opportunities as well as constraints of the data, the article argues that there is great merit in combining statistics with a qualitative analysis when studying the structural characteristics of national higher education systems. Not least the article shows that it is an over-simplification to describe the Swedish system as binary; the stratification is more complex. On basis of the analysis, the article also argues that while global trends certainly influence national developments, higher education systems have country-specific features that may enrich the understanding of how systems evolve and therefore should be analyzed as part of a broader study of the increasingly globalized academic system.
- Date
- 22. 3.2013 19:43:01
- Source
- Journal of the American Society for Information Science and Technology. 64(2013) no.3, S.574-586
- Type
- a
-
Baeza-Yates, R.; Hurtado, C.; Mendoza, M.: Improving search engines by query clustering (2007)
0.01
0.008298359 = product of:
0.030427314 = sum of:
0.005467103 = weight(_text_:a in 601) [ClassicSimilarity], result of:
0.005467103 = score(doc=601,freq=8.0), product of:
0.030653298 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.026584605 = queryNorm
0.17835285 = fieldWeight in 601, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.0546875 = fieldNorm(doc=601)
0.022529786 = weight(_text_:r in 601) [ClassicSimilarity], result of:
0.022529786 = score(doc=601,freq=2.0), product of:
0.088001914 = queryWeight, product of:
3.3102584 = idf(docFreq=4387, maxDocs=44218)
0.026584605 = queryNorm
0.25601473 = fieldWeight in 601, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.3102584 = idf(docFreq=4387, maxDocs=44218)
0.0546875 = fieldNorm(doc=601)
0.0024304248 = weight(_text_:s in 601) [ClassicSimilarity], result of:
0.0024304248 = score(doc=601,freq=2.0), product of:
0.028903782 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.026584605 = queryNorm
0.08408674 = fieldWeight in 601, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.0546875 = fieldNorm(doc=601)
0.27272728 = coord(3/11)
- Abstract
- In this paper, we present a framework for clustering Web search engine queries whose aim is to identify groups of queries used to search for similar information on the Web. The framework is based on a novel term vector model of queries that integrates user selections and the content of selected documents extracted from the logs of a search engine. The query representation obtained allows us to treat query clustering similarly to standard document clustering. We study the application of the clustering framework to two problems: relevance ranking boosting and query recommendation. Finally, we evaluate with experiments the effectiveness of our approach.
- Source
- Journal of the American Society for Information Science and Technology. 58(2007) no.12, S.1793-1804
- Type
- a
-
Song, J.; Huang, Y.; Qi, X.; Li, Y.; Li, F.; Fu, K.; Huang, T.: Discovering hierarchical topic evolution in time-stamped documents (2016)
0.01
0.007971054 = product of:
0.029227197 = sum of:
0.0046860883 = weight(_text_:a in 2853) [ClassicSimilarity], result of:
0.0046860883 = score(doc=2853,freq=8.0), product of:
0.030653298 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.026584605 = queryNorm
0.15287387 = fieldWeight in 2853, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.046875 = fieldNorm(doc=2853)
0.0020832212 = weight(_text_:s in 2853) [ClassicSimilarity], result of:
0.0020832212 = score(doc=2853,freq=2.0), product of:
0.028903782 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.026584605 = queryNorm
0.072074346 = fieldWeight in 2853, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.046875 = fieldNorm(doc=2853)
0.022457888 = weight(_text_:k in 2853) [ClassicSimilarity], result of:
0.022457888 = score(doc=2853,freq=2.0), product of:
0.09490114 = queryWeight, product of:
3.569778 = idf(docFreq=3384, maxDocs=44218)
0.026584605 = queryNorm
0.23664509 = fieldWeight in 2853, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.569778 = idf(docFreq=3384, maxDocs=44218)
0.046875 = fieldNorm(doc=2853)
0.27272728 = coord(3/11)
- Abstract
- The objective of this paper is to propose a hierarchical topic evolution model (HTEM) that can organize time-varying topics in a hierarchy and discover their evolutions with multiple timescales. In the proposed HTEM, topics near the root of the hierarchy are more abstract and also evolve in the longer timescales than those near the leaves. To achieve this goal, the distance-dependent Chinese restaurant process (ddCRP) is extended to a new nested process that is able to simultaneously model the dependencies among data and the relationship between clusters. The HTEM is proposed based on the new process for time-stamped documents, in which the timestamp is utilized to measure the dependencies among documents. Moreover, an efficient Gibbs sampler is developed for the proposed HTEM. Our experimental results on two popular real-world data sets verify that the proposed HTEM can capture coherent topics and discover their hierarchical evolutions. It also outperforms the baseline model in terms of likelihood on held-out data.
- Source
- Journal of the Association for Information Science and Technology. 67(2016) no.4, S.915-927
- Type
- a
-
Ebrahimi, M.; ShafieiBavani, E.; Wong, R.; Chen, F.: Twitter user geolocation by filtering of highly mentioned users (2018)
0.01
0.007855589 = product of:
0.028803824 = sum of:
0.0074093565 = weight(_text_:a in 4286) [ClassicSimilarity], result of:
0.0074093565 = score(doc=4286,freq=20.0), product of:
0.030653298 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.026584605 = queryNorm
0.24171482 = fieldWeight in 4286, product of:
4.472136 = tf(freq=20.0), with freq of:
20.0 = termFreq=20.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.046875 = fieldNorm(doc=4286)
0.019311246 = weight(_text_:r in 4286) [ClassicSimilarity], result of:
0.019311246 = score(doc=4286,freq=2.0), product of:
0.088001914 = queryWeight, product of:
3.3102584 = idf(docFreq=4387, maxDocs=44218)
0.026584605 = queryNorm
0.2194412 = fieldWeight in 4286, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.3102584 = idf(docFreq=4387, maxDocs=44218)
0.046875 = fieldNorm(doc=4286)
0.0020832212 = weight(_text_:s in 4286) [ClassicSimilarity], result of:
0.0020832212 = score(doc=4286,freq=2.0), product of:
0.028903782 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.026584605 = queryNorm
0.072074346 = fieldWeight in 4286, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.046875 = fieldNorm(doc=4286)
0.27272728 = coord(3/11)
- Abstract
- Geolocated social media data provide a powerful source of information about places and regional human behavior. Because only a small amount of social media data have been geolocation-annotated, inference techniques play a substantial role to increase the volume of annotated data. Conventional research in this area has been based on the text content of posts from a given user or the social network of the user, with some recent crossovers between the text- and network-based approaches. This paper proposes a novel approach to categorize highly-mentioned users (celebrities) into Local and Global types, and consequently use Local celebrities as location indicators. A label propagation algorithm is then used over the refined social network for geolocation inference. Finally, we propose a hybrid approach by merging a text-based method as a back-off strategy into our network-based approach. Empirical experiments over three standard Twitter benchmark data sets demonstrate that our approach outperforms state-of-the-art user geolocation methods.
- Source
- Journal of the Association for Information Science and Technology. 69(2018) no.7, S.879-889
- Type
- a
-
Pons-Porrata, A.; Berlanga-Llavori, R.; Ruiz-Shulcloper, J.: Topic discovery based on text mining techniques (2007)
0.01
0.007751891 = product of:
0.0284236 = sum of:
0.0070291325 = weight(_text_:a in 916) [ClassicSimilarity], result of:
0.0070291325 = score(doc=916,freq=18.0), product of:
0.030653298 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.026584605 = queryNorm
0.22931081 = fieldWeight in 916, product of:
4.2426405 = tf(freq=18.0), with freq of:
18.0 = termFreq=18.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.046875 = fieldNorm(doc=916)
0.019311246 = weight(_text_:r in 916) [ClassicSimilarity], result of:
0.019311246 = score(doc=916,freq=2.0), product of:
0.088001914 = queryWeight, product of:
3.3102584 = idf(docFreq=4387, maxDocs=44218)
0.026584605 = queryNorm
0.2194412 = fieldWeight in 916, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.3102584 = idf(docFreq=4387, maxDocs=44218)
0.046875 = fieldNorm(doc=916)
0.0020832212 = weight(_text_:s in 916) [ClassicSimilarity], result of:
0.0020832212 = score(doc=916,freq=2.0), product of:
0.028903782 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.026584605 = queryNorm
0.072074346 = fieldWeight in 916, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.046875 = fieldNorm(doc=916)
0.27272728 = coord(3/11)
- Abstract
- In this paper, we present a topic discovery system aimed to reveal the implicit knowledge present in news streams. This knowledge is expressed as a hierarchy of topic/subtopics, where each topic contains the set of documents that are related to it and a summary extracted from these documents. Summaries so built are useful to browse and select topics of interest from the generated hierarchies. Our proposal consists of a new incremental hierarchical clustering algorithm, which combines both partitional and agglomerative approaches, taking the main benefits from them. Finally, a new summarization method based on Testor Theory has been proposed to build the topic summaries. Experimental results in the TDT2 collection demonstrate its usefulness and effectiveness not only as a topic detection system, but also as a classification and summarization tool.
- Source
- Information processing and management. 43(2007) no.3, S.752-768
- Type
- a
-
Huvila, I.: Mining qualitative data on human information behaviour from the Web (2010)
0.01
0.007420608 = product of:
0.027208894 = sum of:
0.0027335514 = weight(_text_:a in 4676) [ClassicSimilarity], result of:
0.0027335514 = score(doc=4676,freq=2.0), product of:
0.030653298 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.026584605 = queryNorm
0.089176424 = fieldWeight in 4676, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.0546875 = fieldNorm(doc=4676)
0.0024304248 = weight(_text_:s in 4676) [ClassicSimilarity], result of:
0.0024304248 = score(doc=4676,freq=2.0), product of:
0.028903782 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.026584605 = queryNorm
0.08408674 = fieldWeight in 4676, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.0546875 = fieldNorm(doc=4676)
0.02204492 = weight(_text_:u in 4676) [ClassicSimilarity], result of:
0.02204492 = score(doc=4676,freq=2.0), product of:
0.08704981 = queryWeight, product of:
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.026584605 = queryNorm
0.25324488 = fieldWeight in 4676, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.0546875 = fieldNorm(doc=4676)
0.27272728 = coord(3/11)
- Pages
- S.322-326
- Source
- Information und Wissen: global, sozial und frei? Proceedings des 12. Internationalen Symposiums für Informationswissenschaft (ISI 2011) ; Hildesheim, 9. - 11. März 2011. Hrsg.: J. Griesbaum, T. Mandl u. C. Womser-Hacker
- Type
- a
-
Gaizauskas, R.; Wilks, Y.: Information extraction : beyond document retrieval (1998)
0.01
0.007400108 = product of:
0.02713373 = sum of:
0.0057392623 = weight(_text_:a in 4716) [ClassicSimilarity], result of:
0.0057392623 = score(doc=4716,freq=12.0), product of:
0.030653298 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.026584605 = queryNorm
0.18723148 = fieldWeight in 4716, product of:
3.4641016 = tf(freq=12.0), with freq of:
12.0 = termFreq=12.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.046875 = fieldNorm(doc=4716)
0.019311246 = weight(_text_:r in 4716) [ClassicSimilarity], result of:
0.019311246 = score(doc=4716,freq=2.0), product of:
0.088001914 = queryWeight, product of:
3.3102584 = idf(docFreq=4387, maxDocs=44218)
0.026584605 = queryNorm
0.2194412 = fieldWeight in 4716, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.3102584 = idf(docFreq=4387, maxDocs=44218)
0.046875 = fieldNorm(doc=4716)
0.0020832212 = weight(_text_:s in 4716) [ClassicSimilarity], result of:
0.0020832212 = score(doc=4716,freq=2.0), product of:
0.028903782 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.026584605 = queryNorm
0.072074346 = fieldWeight in 4716, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.046875 = fieldNorm(doc=4716)
0.27272728 = coord(3/11)
- Abstract
- In this paper we give a synoptic view of the growth of the text processing technology of informatione xtraction (IE) whose function is to extract information about a pre-specified set of entities, relations or events from natural language texts and to record this information in structured representations called templates. Here we describe the nature of the IE task, review the history of the area from its origins in AI work in the 1960s and 70s till the present, discuss the techniques being used to carry out the task, describe application areas where IE systems are or are about to be at work, and conclude with a discussion of the challenges facing the area. What emerges is a picture of an exciting new text processing technology with a host of new applications, both on its own and in conjunction with other technologies, such as information retrieval, machine translation and data mining
- Source
- Journal of documentation. 54(1998) no.1, S.70-105
- Type
- a
-
Berry, M.W.; Esau, R.; Kiefer, B.: ¬The use of text mining techniques in electronic discovery for legal matters (2012)
0.01
0.006941656 = product of:
0.025452739 = sum of:
0.0040582716 = weight(_text_:a in 91) [ClassicSimilarity], result of:
0.0040582716 = score(doc=91,freq=6.0), product of:
0.030653298 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.026584605 = queryNorm
0.13239266 = fieldWeight in 91, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.046875 = fieldNorm(doc=91)
0.019311246 = weight(_text_:r in 91) [ClassicSimilarity], result of:
0.019311246 = score(doc=91,freq=2.0), product of:
0.088001914 = queryWeight, product of:
3.3102584 = idf(docFreq=4387, maxDocs=44218)
0.026584605 = queryNorm
0.2194412 = fieldWeight in 91, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.3102584 = idf(docFreq=4387, maxDocs=44218)
0.046875 = fieldNorm(doc=91)
0.0020832212 = weight(_text_:s in 91) [ClassicSimilarity], result of:
0.0020832212 = score(doc=91,freq=2.0), product of:
0.028903782 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.026584605 = queryNorm
0.072074346 = fieldWeight in 91, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.046875 = fieldNorm(doc=91)
0.27272728 = coord(3/11)
- Abstract
- Electronic discovery (eDiscovery) is the process of collecting and analyzing electronic documents to determine their relevance to a legal matter. Office technology has advanced and eased the requirements necessary to create a document. As such, the volume of data has outgrown the manual processes previously used to make relevance judgments. Methods of text mining and information retrieval have been put to use in eDiscovery to help tame the volume of data; however, the results have been uneven. This chapter looks at the historical bias of the collection process. The authors examine how tools like classifiers, latent semantic analysis, and non-negative matrix factorization deal with nuances of the collection process.
- Pages
- S.174-190
- Type
- a
-
Ma, Z.; Sun, A.; Cong, G.: On predicting the popularity of newly emerging hashtags in Twitter (2013)
0.01
0.006881903 = product of:
0.025233643 = sum of:
0.004782719 = weight(_text_:a in 967) [ClassicSimilarity], result of:
0.004782719 = score(doc=967,freq=12.0), product of:
0.030653298 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.026584605 = queryNorm
0.15602624 = fieldWeight in 967, product of:
3.4641016 = tf(freq=12.0), with freq of:
12.0 = termFreq=12.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.0390625 = fieldNorm(doc=967)
0.0017360178 = weight(_text_:s in 967) [ClassicSimilarity], result of:
0.0017360178 = score(doc=967,freq=2.0), product of:
0.028903782 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.026584605 = queryNorm
0.060061958 = fieldWeight in 967, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.0390625 = fieldNorm(doc=967)
0.018714907 = weight(_text_:k in 967) [ClassicSimilarity], result of:
0.018714907 = score(doc=967,freq=2.0), product of:
0.09490114 = queryWeight, product of:
3.569778 = idf(docFreq=3384, maxDocs=44218)
0.026584605 = queryNorm
0.19720423 = fieldWeight in 967, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.569778 = idf(docFreq=3384, maxDocs=44218)
0.0390625 = fieldNorm(doc=967)
0.27272728 = coord(3/11)
- Abstract
- Because of Twitter's popularity and the viral nature of information dissemination on Twitter, predicting which Twitter topics will become popular in the near future becomes a task of considerable economic importance. Many Twitter topics are annotated by hashtags. In this article, we propose methods to predict the popularity of new hashtags on Twitter by formulating the problem as a classification task. We use five standard classification models (i.e., Naïve bayes, k-nearest neighbors, decision trees, support vector machines, and logistic regression) for prediction. The main challenge is the identification of effective features for describing new hashtags. We extract 7 content features from a hashtag string and the collection of tweets containing the hashtag and 11 contextual features from the social graph formed by users who have adopted the hashtag. We conducted experiments on a Twitter data set consisting of 31 million tweets from 2 million Singapore-based users. The experimental results show that the standard classifiers using the extracted features significantly outperform the baseline methods that do not use these features. Among the five classifiers, the logistic regression model performs the best in terms of the Micro-F1 measure. We also observe that contextual features are more effective than content features.
- Source
- Journal of the American Society for Information Science and Technology. 64(2013) no.7, S.1399-1410
- Type
- a
-
Liu, Y.; Zhang, M.; Cen, R.; Ru, L.; Ma, S.: Data cleansing for Web information retrieval using query independent features (2007)
0.01
0.0066560227 = product of:
0.024405416 = sum of:
0.0058576106 = weight(_text_:a in 607) [ClassicSimilarity], result of:
0.0058576106 = score(doc=607,freq=18.0), product of:
0.030653298 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.026584605 = queryNorm
0.19109234 = fieldWeight in 607, product of:
4.2426405 = tf(freq=18.0), with freq of:
18.0 = termFreq=18.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.0390625 = fieldNorm(doc=607)
0.016092705 = weight(_text_:r in 607) [ClassicSimilarity], result of:
0.016092705 = score(doc=607,freq=2.0), product of:
0.088001914 = queryWeight, product of:
3.3102584 = idf(docFreq=4387, maxDocs=44218)
0.026584605 = queryNorm
0.18286766 = fieldWeight in 607, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.3102584 = idf(docFreq=4387, maxDocs=44218)
0.0390625 = fieldNorm(doc=607)
0.0024550997 = weight(_text_:s in 607) [ClassicSimilarity], result of:
0.0024550997 = score(doc=607,freq=4.0), product of:
0.028903782 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.026584605 = queryNorm
0.08494043 = fieldWeight in 607, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.0390625 = fieldNorm(doc=607)
0.27272728 = coord(3/11)
- Abstract
- Understanding what kinds of Web pages are the most useful for Web search engine users is a critical task in Web information retrieval (IR). Most previous works used hyperlink analysis algorithms to solve this problem. However, little research has been focused on query-independent Web data cleansing for Web IR. In this paper, we first provide analysis of the differences between retrieval target pages and ordinary ones based on more than 30 million Web pages obtained from both the Text Retrieval Conference (TREC) and a widely used Chinese search engine, SOGOU (www.sogou.com). We further propose a learning-based data cleansing algorithm for reducing Web pages that are unlikely to be useful for user requests. We found that there exists a large proportion of low-quality Web pages in both the English and the Chinese Web page corpus, and retrieval target pages can be identified using query-independent features and cleansing algorithms. The experimental results showed that our algorithm is effective in reducing a large portion of Web pages with a small loss in retrieval target pages. It makes it possible for Web IR tools to meet a large fraction of users' needs with only a small part of pages on the Web. These results may help Web search engines make better use of their limited storage and computation resources to improve search performance.
- Source
- Journal of the American Society for Information Science and Technology. 58(2007) no.12, S.1884-1898
- Type
- a
-
Raan, A.F.J. van; Noyons, E.C.M.: Discovery of patterns of scientific and technological development and knowledge transfer (2002)
0.01
0.0059586535 = product of:
0.021848395 = sum of:
0.0043660053 = weight(_text_:a in 3603) [ClassicSimilarity], result of:
0.0043660053 = score(doc=3603,freq=10.0), product of:
0.030653298 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.026584605 = queryNorm
0.14243183 = fieldWeight in 3603, product of:
3.1622777 = tf(freq=10.0), with freq of:
10.0 = termFreq=10.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.0390625 = fieldNorm(doc=3603)
0.0017360178 = weight(_text_:s in 3603) [ClassicSimilarity], result of:
0.0017360178 = score(doc=3603,freq=2.0), product of:
0.028903782 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.026584605 = queryNorm
0.060061958 = fieldWeight in 3603, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.0390625 = fieldNorm(doc=3603)
0.015746372 = weight(_text_:u in 3603) [ClassicSimilarity], result of:
0.015746372 = score(doc=3603,freq=2.0), product of:
0.08704981 = queryWeight, product of:
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.026584605 = queryNorm
0.1808892 = fieldWeight in 3603, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.0390625 = fieldNorm(doc=3603)
0.27272728 = coord(3/11)
- Abstract
- This paper addresses a bibliometric methodology to discover the structure of the scientific 'landscape' in order to gain detailed insight into the development of MD fields, their interaction, and the transfer of knowledge between them. This methodology is appropriate to visualize the position of MD activities in relation to interdisciplinary MD developments, and particularly in relation to socio-economic problems. Furthermore, it allows the identification of the major actors. It even provides the possibility of foresight. We describe a first approach to apply bibliometric mapping as an instrument to investigate characteristics of knowledge transfer. In this paper we discuss the creation of 'maps of science' with help of advanced bibliometric methods. This 'bibliometric cartography' can be seen as a specific type of data-mining, applied to large amounts of scientific publications. As an example we describe the mapping of the field neuroscience, one of the largest and fast growing fields in the life sciences. The number of publications covered by this database is about 80,000 per year, the period covered is 1995-1998. Current research is going an to update the mapping for the years 1999-2002. This paper addresses the main lines of the methodology and its application in the study of knowledge transfer.
- Pages
- S.105-112
- Source
- Gaining insight from research information (CRIS2002): Proceedings of the 6th International Conference an Current Research Information Systems, University of Kassel, August 29 - 31, 2002. Eds: W. Adamczak u. A. Nase
- Type
- a
-
Matson, L.D.; Bonski, D.J.: Do digital libraries need librarians? (1997)
0.01
0.0058917557 = product of:
0.021603104 = sum of:
0.0044180867 = weight(_text_:a in 1737) [ClassicSimilarity], result of:
0.0044180867 = score(doc=1737,freq=4.0), product of:
0.030653298 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.026584605 = queryNorm
0.14413087 = fieldWeight in 1737, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.0625 = fieldNorm(doc=1737)
0.0027776284 = weight(_text_:s in 1737) [ClassicSimilarity], result of:
0.0027776284 = score(doc=1737,freq=2.0), product of:
0.028903782 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.026584605 = queryNorm
0.09609913 = fieldWeight in 1737, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.0625 = fieldNorm(doc=1737)
0.014407388 = product of:
0.028814776 = sum of:
0.028814776 = weight(_text_:22 in 1737) [ClassicSimilarity], result of:
0.028814776 = score(doc=1737,freq=2.0), product of:
0.09309476 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.026584605 = queryNorm
0.30952093 = fieldWeight in 1737, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0625 = fieldNorm(doc=1737)
0.5 = coord(1/2)
0.27272728 = coord(3/11)
- Abstract
- Defines digital libraries and discusses the effects of new technology on librarians. Examines the different viewpoints of librarians and information technologists on digital libraries. Describes the development of a digital library at the National Drug Intelligence Center, USA, which was carried out in collaboration with information technology experts. The system is based on Web enabled search technology to find information, data visualization and data mining to visualize it and use of SGML as an information standard to store it
- Date
- 22.11.1998 18:57:22
- Source
- Online. 21(1997) no.6, S.87-92
- Type
- a
-
Hofstede, A.H.M. ter; Proper, H.A.; Van der Weide, T.P.: Exploiting fact verbalisation in conceptual information modelling (1997)
0.01
0.005591998 = product of:
0.020503992 = sum of:
0.005467103 = weight(_text_:a in 2908) [ClassicSimilarity], result of:
0.005467103 = score(doc=2908,freq=8.0), product of:
0.030653298 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.026584605 = queryNorm
0.17835285 = fieldWeight in 2908, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.0546875 = fieldNorm(doc=2908)
0.0024304248 = weight(_text_:s in 2908) [ClassicSimilarity], result of:
0.0024304248 = score(doc=2908,freq=2.0), product of:
0.028903782 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.026584605 = queryNorm
0.08408674 = fieldWeight in 2908, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.0546875 = fieldNorm(doc=2908)
0.012606464 = product of:
0.025212929 = sum of:
0.025212929 = weight(_text_:22 in 2908) [ClassicSimilarity], result of:
0.025212929 = score(doc=2908,freq=2.0), product of:
0.09309476 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.026584605 = queryNorm
0.2708308 = fieldWeight in 2908, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0546875 = fieldNorm(doc=2908)
0.5 = coord(1/2)
0.27272728 = coord(3/11)
- Abstract
- Focuses on the information modelling side of conceptual modelling. Deals with the exploitation of fact verbalisations after finishing the actual information system. Verbalisations are used as input for the design of the so-called information model. Exploits these verbalisation in 4 directions: considers their use for a conceptual query language, the verbalisation of instances, the description of the contents of a database and for the verbalisation of queries in a computer supported query environment. Provides an example session with an envisioned tool for end user query formulations that exploits the verbalisation
- Source
- Information systems. 22(1997) nos.5/6, S.349-385
- Type
- a
