-
Amir, A.; Feldman, R.; Kashi, R.: ¬A new and versatile method for association generation (1997)
0.03
0.03230185 = product of:
0.1292074 = sum of:
0.1292074 = sum of:
0.03580512 = weight(_text_:systems in 1270) [ClassicSimilarity], result of:
0.03580512 = score(doc=1270,freq=2.0), product of:
0.13181444 = queryWeight, product of:
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.04289195 = queryNorm
0.2716328 = fieldWeight in 1270, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.0625 = fieldNorm(doc=1270)
0.04691214 = weight(_text_:29 in 1270) [ClassicSimilarity], result of:
0.04691214 = score(doc=1270,freq=2.0), product of:
0.15088047 = queryWeight, product of:
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.04289195 = queryNorm
0.31092256 = fieldWeight in 1270, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.0625 = fieldNorm(doc=1270)
0.046490133 = weight(_text_:22 in 1270) [ClassicSimilarity], result of:
0.046490133 = score(doc=1270,freq=2.0), product of:
0.15020029 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.04289195 = 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)
0.25 = coord(1/4)
- Date
- 5. 4.1996 15:29:15
- Source
- Information systems. 22(1997) nos.5/6, S.333-347
-
Hofstede, A.H.M. ter; Proper, H.A.; Van der Weide, T.P.: Exploiting fact verbalisation in conceptual information modelling (1997)
0.03
0.028264118 = product of:
0.11305647 = sum of:
0.11305647 = sum of:
0.031329483 = weight(_text_:systems in 2908) [ClassicSimilarity], result of:
0.031329483 = score(doc=2908,freq=2.0), product of:
0.13181444 = queryWeight, product of:
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.04289195 = queryNorm
0.23767869 = fieldWeight in 2908, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.0546875 = fieldNorm(doc=2908)
0.041048124 = weight(_text_:29 in 2908) [ClassicSimilarity], result of:
0.041048124 = score(doc=2908,freq=2.0), product of:
0.15088047 = queryWeight, product of:
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.04289195 = queryNorm
0.27205724 = fieldWeight in 2908, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.0546875 = fieldNorm(doc=2908)
0.040678866 = weight(_text_:22 in 2908) [ClassicSimilarity], result of:
0.040678866 = score(doc=2908,freq=2.0), product of:
0.15020029 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.04289195 = 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)
0.25 = coord(1/4)
- Date
- 5. 4.1996 15:29:15
- Source
- Information systems. 22(1997) nos.5/6, S.349-385
-
Budzik, J.; Hammond, K.J.; Birnbaum, L.: Information access in context (2001)
0.02
0.02412587 = product of:
0.09650348 = sum of:
0.09650348 = product of:
0.14475521 = sum of:
0.062658966 = weight(_text_:systems in 3835) [ClassicSimilarity], result of:
0.062658966 = score(doc=3835,freq=2.0), product of:
0.13181444 = queryWeight, product of:
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.04289195 = queryNorm
0.47535738 = fieldWeight in 3835, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.109375 = fieldNorm(doc=3835)
0.08209625 = weight(_text_:29 in 3835) [ClassicSimilarity], result of:
0.08209625 = score(doc=3835,freq=2.0), product of:
0.15088047 = queryWeight, product of:
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.04289195 = queryNorm
0.5441145 = fieldWeight in 3835, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.109375 = fieldNorm(doc=3835)
0.6666667 = coord(2/3)
0.25 = coord(1/4)
- Date
- 29. 3.2002 17:31:17
- Source
- Knowledge-based systems. 14(2001) nos.1/2, S.37-53
-
Information visualization in data mining and knowledge discovery (2002)
0.02
0.0227087 = product of:
0.0454174 = sum of:
0.025734002 = weight(_text_:interfaces in 1789) [ClassicSimilarity], result of:
0.025734002 = score(doc=1789,freq=2.0), product of:
0.22349821 = queryWeight, product of:
5.2107263 = idf(docFreq=655, maxDocs=44218)
0.04289195 = queryNorm
0.11514187 = fieldWeight in 1789, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
5.2107263 = idf(docFreq=655, maxDocs=44218)
0.015625 = fieldNorm(doc=1789)
0.019683396 = product of:
0.029525094 = sum of:
0.01790256 = weight(_text_:systems in 1789) [ClassicSimilarity], result of:
0.01790256 = score(doc=1789,freq=8.0), product of:
0.13181444 = queryWeight, product of:
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.04289195 = queryNorm
0.1358164 = fieldWeight in 1789, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.015625 = fieldNorm(doc=1789)
0.011622533 = weight(_text_:22 in 1789) [ClassicSimilarity], result of:
0.011622533 = score(doc=1789,freq=2.0), product of:
0.15020029 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.04289195 = queryNorm
0.07738023 = fieldWeight in 1789, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.015625 = fieldNorm(doc=1789)
0.6666667 = coord(2/3)
0.5 = coord(2/4)
- Date
- 23. 3.2008 19:10:22
- Footnote
- In 13 chapters, Part Two provides an introduction to KDD, an overview of data mining techniques, and examples of the usefulness of data model visualizations. The importance of visualization throughout the KDD process is stressed in many of the chapters. In particular, the need for measures of visualization effectiveness, benchmarking for identifying best practices, and the use of standardized sample data sets is convincingly presented. Many of the important data mining approaches are discussed in this complementary context. Cluster and outlier detection, classification techniques, and rule discovery algorithms are presented as the basic techniques common to the KDD process. The potential effectiveness of using visualization in the data modeling process are illustrated in chapters focused an using visualization for helping users understand the KDD process, ask questions and form hypotheses about their data, and evaluate the accuracy and veracity of their results. The 11 chapters of Part Three provide an overview of the KDD process and successful approaches to integrating KDD, data mining, and visualization in complementary domains. Rhodes (Chapter 21) begins this section with an excellent overview of the relation between the KDD process and data mining techniques. He states that the "primary goals of data mining are to describe the existing data and to predict the behavior or characteristics of future data of the same type" (p. 281). These goals are met by data mining tasks such as classification, regression, clustering, summarization, dependency modeling, and change or deviation detection. Subsequent chapters demonstrate how visualization can aid users in the interactive process of knowledge discovery by graphically representing the results from these iterative tasks. Finally, examples of the usefulness of integrating visualization and data mining tools in the domain of business, imagery and text mining, and massive data sets are provided. This text concludes with a thorough and useful 17-page index and lengthy yet integrating 17-page summary of the academic and industrial backgrounds of the contributing authors. A 16-page set of color inserts provide a better representation of the visualizations discussed, and a URL provided suggests that readers may view all the book's figures in color on-line, although as of this submission date it only provides access to a summary of the book and its contents. The overall contribution of this work is its focus an bridging two distinct areas of research, making it a valuable addition to the Morgan Kaufmann Series in Database Management Systems. The editors of this text have met their main goal of providing the first textbook integrating knowledge discovery, data mining, and visualization. Although it contributes greatly to our under- standing of the development and current state of the field, a major weakness of this text is that there is no concluding chapter to discuss the contributions of the sum of these contributed papers or give direction to possible future areas of research. "Integration of expertise between two different disciplines is a difficult process of communication and reeducation. Integrating data mining and visualization is particularly complex because each of these fields in itself must draw an a wide range of research experience" (p. 300). Although this work contributes to the crossdisciplinary communication needed to advance visualization in KDD, a more formal call for an interdisciplinary research agenda in a concluding chapter would have provided a more satisfying conclusion to a very good introductory text.
With contributors almost exclusively from the computer science field, the intended audience of this work is heavily slanted towards a computer science perspective. However, it is highly readable and provides introductory material that would be useful to information scientists from a variety of domains. Yet, much interesting work in information visualization from other fields could have been included giving the work more of an interdisciplinary perspective to complement their goals of integrating work in this area. Unfortunately, many of the application chapters are these, shallow, and lack complementary illustrations of visualization techniques or user interfaces used. However, they do provide insight into the many applications being developed in this rapidly expanding field. The authors have successfully put together a highly useful reference text for the data mining and information visualization communities. Those interested in a good introduction and overview of complementary research areas in these fields will be satisfied with this collection of papers. The focus upon integrating data visualization with data mining complements texts in each of these fields, such as Advances in Knowledge Discovery and Data Mining (Fayyad et al., MIT Press) and Readings in Information Visualization: Using Vision to Think (Card et. al., Morgan Kauffman). This unique work is a good starting point for future interaction between researchers in the fields of data visualization and data mining and makes a good accompaniment for a course focused an integrating these areas or to the main reference texts in these fields."
- LCSH
- Knowledge acquisition (Expert systems)
- Series
- Morgan Kaufmann series in data management systems
- Subject
- Knowledge acquisition (Expert systems)
-
KDD : techniques and applications (1998)
0.02
0.020573815 = product of:
0.08229526 = sum of:
0.08229526 = product of:
0.12344289 = sum of:
0.053707685 = weight(_text_:systems in 6783) [ClassicSimilarity], result of:
0.053707685 = score(doc=6783,freq=2.0), product of:
0.13181444 = queryWeight, product of:
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.04289195 = queryNorm
0.4074492 = fieldWeight in 6783, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.09375 = fieldNorm(doc=6783)
0.0697352 = weight(_text_:22 in 6783) [ClassicSimilarity], result of:
0.0697352 = score(doc=6783,freq=2.0), product of:
0.15020029 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.04289195 = queryNorm
0.46428138 = fieldWeight in 6783, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.09375 = fieldNorm(doc=6783)
0.6666667 = coord(2/3)
0.25 = coord(1/4)
- Footnote
- A special issue of selected papers from the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'97), held Singapore, 22-23 Feb 1997
- Source
- Knowledge-based systems. 10(1998) no.7, S.401-470
-
Cohen, D.J.: From Babel to knowledge : data mining large digital collections (2006)
0.02
0.018196687 = product of:
0.07278675 = sum of:
0.07278675 = weight(_text_:interfaces in 1178) [ClassicSimilarity], result of:
0.07278675 = score(doc=1178,freq=4.0), product of:
0.22349821 = queryWeight, product of:
5.2107263 = idf(docFreq=655, maxDocs=44218)
0.04289195 = queryNorm
0.3256704 = fieldWeight in 1178, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
5.2107263 = idf(docFreq=655, maxDocs=44218)
0.03125 = fieldNorm(doc=1178)
0.25 = coord(1/4)
- Abstract
- In Jorge Luis Borges's curious short story The Library of Babel, the narrator describes an endless collection of books stored from floor to ceiling in a labyrinth of countless hexagonal rooms. The pages of the library's books seem to contain random sequences of letters and spaces; occasionally a few intelligible words emerge in the sea of paper and ink. Nevertheless, readers diligently, and exasperatingly, scan the shelves for coherent passages. The narrator himself has wandered numerous rooms in search of enlightenment, but with resignation he simply awaits his death and burial - which Borges explains (with signature dark humor) consists of being tossed unceremoniously over the library's banister. Borges's nightmare, of course, is a cursed vision of the research methods of disciplines such as literature, history, and philosophy, where the careful reading of books, one after the other, is supposed to lead inexorably to knowledge and understanding. Computer scientists would approach Borges's library far differently. Employing the information theory that forms the basis for search engines and other computerized techniques for assessing in one fell swoop large masses of documents, they would quickly realize the collection's incoherence though sampling and statistical methods - and wisely start looking for the library's exit. These computational methods, which allow us to find patterns, determine relationships, categorize documents, and extract information from massive corpuses, will form the basis for new tools for research in the humanities and other disciplines in the coming decade. For the past three years I have been experimenting with how to provide such end-user tools - that is, tools that harness the power of vast electronic collections while hiding much of their complicated technical plumbing. In particular, I have made extensive use of the application programming interfaces (APIs) the leading search engines provide for programmers to query their databases directly (from server to server without using their web interfaces). In addition, I have explored how one might extract information from large digital collections, from the well-curated lexicographic database WordNet to the democratic (and poorly curated) online reference work Wikipedia. While processing these digital corpuses is currently an imperfect science, even now useful tools can be created by combining various collections and methods for searching and analyzing them. And more importantly, these nascent services suggest a future in which information can be gleaned from, and sense can be made out of, even imperfect digital libraries of enormous scale. A brief examination of two approaches to data mining large digital collections hints at this future, while also providing some lessons about how to get there.
-
Cardie, C.: Empirical methods in information extraction (1997)
0.01
0.013786211 = product of:
0.055144843 = sum of:
0.055144843 = product of:
0.08271726 = sum of:
0.03580512 = weight(_text_:systems in 3246) [ClassicSimilarity], result of:
0.03580512 = score(doc=3246,freq=2.0), product of:
0.13181444 = queryWeight, product of:
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.04289195 = queryNorm
0.2716328 = fieldWeight in 3246, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.0625 = fieldNorm(doc=3246)
0.04691214 = weight(_text_:29 in 3246) [ClassicSimilarity], result of:
0.04691214 = score(doc=3246,freq=2.0), product of:
0.15088047 = queryWeight, product of:
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.04289195 = queryNorm
0.31092256 = fieldWeight in 3246, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.0625 = fieldNorm(doc=3246)
0.6666667 = coord(2/3)
0.25 = coord(1/4)
- Abstract
- Surveys the use of empirical, machine-learning methods for information extraction. Presents a generic architecture for information extraction systems and surveys the learning algorithms that have been developed to address the problems of accuracy, portability, and knowledge acquisition for each component of the architecture
- Date
- 6. 3.1999 13:50:29
-
Hallonsten, O.; Holmberg, D.: Analyzing structural stratification in the Swedish higher education system : data contextualization with policy-history analysis (2013)
0.01
0.012302123 = product of:
0.049208492 = sum of:
0.049208492 = product of:
0.07381274 = sum of:
0.044756405 = weight(_text_:systems in 668) [ClassicSimilarity], result of:
0.044756405 = score(doc=668,freq=8.0), product of:
0.13181444 = queryWeight, product of:
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.04289195 = queryNorm
0.339541 = fieldWeight in 668, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.0390625 = fieldNorm(doc=668)
0.029056335 = weight(_text_:22 in 668) [ClassicSimilarity], result of:
0.029056335 = score(doc=668,freq=2.0), product of:
0.15020029 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.04289195 = 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)
0.6666667 = coord(2/3)
0.25 = coord(1/4)
- 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
-
Srinivasan, P.: Text mining in biomedicine : challenges and opportunities (2006)
0.01
0.012193529 = product of:
0.048774116 = sum of:
0.048774116 = product of:
0.07316117 = sum of:
0.037977066 = weight(_text_:systems in 1497) [ClassicSimilarity], result of:
0.037977066 = score(doc=1497,freq=4.0), product of:
0.13181444 = queryWeight, product of:
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.04289195 = queryNorm
0.28811008 = fieldWeight in 1497, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.046875 = fieldNorm(doc=1497)
0.035184108 = weight(_text_:29 in 1497) [ClassicSimilarity], result of:
0.035184108 = score(doc=1497,freq=2.0), product of:
0.15088047 = queryWeight, product of:
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.04289195 = queryNorm
0.23319192 = fieldWeight in 1497, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.046875 = fieldNorm(doc=1497)
0.6666667 = coord(2/3)
0.25 = coord(1/4)
- Abstract
- Text mining is about making serendipity more likely. Serendipity, the chance discovery of interesting ideas, has been responsible for many discoveries in science. Text mining systems strive to explore large text collections, separate the potentially meaningfull connections from a vast and mostly noisy background of random associations. In this paper we provide a summary of our text mining approach and also illustrate briefly some of the experiments we have conducted with this approach. In particular we use a profile-based text mining method. We have used these profiles to explore the global distribution of disease research, replicate discoveries made by others and propose new hypotheses. Text mining holds much potential that has yet to be tapped.
- Date
- 29. 2.2008 17:14:09
- Source
- Knowledge organization, information systems and other essays: Professor A. Neelameghan Festschrift. Ed. by K.S. Raghavan and K.N. Prasad
-
Fonseca, F.; Marcinkowski, M.; Davis, C.: Cyber-human systems of thought and understanding (2019)
0.01
0.011302753 = product of:
0.045211013 = sum of:
0.045211013 = product of:
0.06781652 = sum of:
0.038760185 = weight(_text_:systems in 5011) [ClassicSimilarity], result of:
0.038760185 = score(doc=5011,freq=6.0), product of:
0.13181444 = queryWeight, product of:
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.04289195 = queryNorm
0.29405114 = fieldWeight in 5011, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.0390625 = fieldNorm(doc=5011)
0.029056335 = weight(_text_:22 in 5011) [ClassicSimilarity], result of:
0.029056335 = score(doc=5011,freq=2.0), product of:
0.15020029 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.04289195 = queryNorm
0.19345059 = fieldWeight in 5011, 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=5011)
0.6666667 = coord(2/3)
0.25 = coord(1/4)
- Abstract
- The present challenge faced by scientists working with Big Data comes in the overwhelming volume and level of detail provided by current data sets. Exceeding traditional empirical approaches, Big Data opens a new perspective on scientific work in which data comes to play a role in the development of the scientific problematic to be developed. Addressing this reconfiguration of our relationship with data through readings of Wittgenstein, Macherey, and Popper, we propose a picture of science that encourages scientists to engage with the data in a direct way, using the data itself as an instrument for scientific investigation. Using GIS as a theme, we develop the concept of cyber-human systems of thought and understanding to bridge the divide between representative (theoretical) thinking and (non-theoretical) data-driven science. At the foundation of these systems, we invoke the concept of the "semantic pixel" to establish a logical and virtual space linking data and the work of scientists. It is with this discussion of the relationship between analysts in their pursuit of knowledge and the rise of Big Data that this present discussion of the philosophical foundations of Big Data addresses the central questions raised by social informatics research.
- Date
- 7. 3.2019 16:32:22
-
Raan, A.F.J. van; Noyons, E.C.M.: Discovery of patterns of scientific and technological development and knowledge transfer (2002)
0.01
0.008616382 = product of:
0.03446553 = sum of:
0.03446553 = product of:
0.051698294 = sum of:
0.022378203 = weight(_text_:systems in 3603) [ClassicSimilarity], result of:
0.022378203 = score(doc=3603,freq=2.0), product of:
0.13181444 = queryWeight, product of:
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.04289195 = queryNorm
0.1697705 = fieldWeight in 3603, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.0390625 = fieldNorm(doc=3603)
0.029320091 = weight(_text_:29 in 3603) [ClassicSimilarity], result of:
0.029320091 = score(doc=3603,freq=2.0), product of:
0.15088047 = queryWeight, product of:
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.04289195 = queryNorm
0.19432661 = fieldWeight in 3603, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.0390625 = fieldNorm(doc=3603)
0.6666667 = coord(2/3)
0.25 = coord(1/4)
- 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
-
Peters, G.; Gaese, V.: ¬Das DocCat-System in der Textdokumentation von G+J (2003)
0.01
0.006857938 = product of:
0.027431753 = sum of:
0.027431753 = product of:
0.041147627 = sum of:
0.01790256 = weight(_text_:systems in 1507) [ClassicSimilarity], result of:
0.01790256 = score(doc=1507,freq=2.0), product of:
0.13181444 = queryWeight, product of:
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.04289195 = queryNorm
0.1358164 = fieldWeight in 1507, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.03125 = fieldNorm(doc=1507)
0.023245066 = weight(_text_:22 in 1507) [ClassicSimilarity], result of:
0.023245066 = score(doc=1507,freq=2.0), product of:
0.15020029 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.04289195 = queryNorm
0.15476047 = fieldWeight in 1507, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.03125 = fieldNorm(doc=1507)
0.6666667 = coord(2/3)
0.25 = coord(1/4)
- Abstract
- Wir werden einmal die Grundlagen des Text-Mining-Systems bei IBM darstellen, dann werden wir das Projekt etwas umfangreicher und deutlicher darstellen, da kennen wir uns aus. Von daher haben wir zwei Teile, einmal Heidelberg, einmal Hamburg. Noch einmal zur Technologie. Text-Mining ist eine von IBM entwickelte Technologie, die in einer besonderen Ausformung und Programmierung für uns zusammengestellt wurde. Das Projekt hieß bei uns lange Zeit DocText Miner und heißt seit einiger Zeit auf Vorschlag von IBM DocCat, das soll eine Abkürzung für Document-Categoriser sein, sie ist ja auch nett und anschaulich. Wir fangen an mit Text-Mining, das bei IBM in Heidelberg entwickelt wurde. Die verstehen darunter das automatische Indexieren als eine Instanz, also einen Teil von Text-Mining. Probleme werden dabei gezeigt, und das Text-Mining ist eben eine Methode zur Strukturierung von und der Suche in großen Dokumentenmengen, die Extraktion von Informationen und, das ist der hohe Anspruch, von impliziten Zusammenhängen. Das letztere sei dahingestellt. IBM macht das quantitativ, empirisch, approximativ und schnell. das muss man wirklich sagen. Das Ziel, und das ist ganz wichtig für unser Projekt gewesen, ist nicht, den Text zu verstehen, sondern das Ergebnis dieser Verfahren ist, was sie auf Neudeutsch a bundle of words, a bag of words nennen, also eine Menge von bedeutungstragenden Begriffen aus einem Text zu extrahieren, aufgrund von Algorithmen, also im Wesentlichen aufgrund von Rechenoperationen. Es gibt eine ganze Menge von linguistischen Vorstudien, ein wenig Linguistik ist auch dabei, aber nicht die Grundlage der ganzen Geschichte. Was sie für uns gemacht haben, ist also die Annotierung von Pressetexten für unsere Pressedatenbank. Für diejenigen, die es noch nicht kennen: Gruner + Jahr führt eine Textdokumentation, die eine Datenbank führt, seit Anfang der 70er Jahre, da sind z.Z. etwa 6,5 Millionen Dokumente darin, davon etwas über 1 Million Volltexte ab 1993. Das Prinzip war lange Zeit, dass wir die Dokumente, die in der Datenbank gespeichert waren und sind, verschlagworten und dieses Prinzip haben wir auch dann, als der Volltext eingeführt wurde, in abgespeckter Form weitergeführt. Zu diesen 6,5 Millionen Dokumenten gehören dann eben auch ungefähr 10 Millionen Faksimileseiten, weil wir die Faksimiles auch noch standardmäßig aufheben.
- Date
- 22. 4.2003 11:45:36
-
Chowdhury, G.G.: Template mining for information extraction from digital documents (1999)
0.01
0.0067798113 = product of:
0.027119245 = sum of:
0.027119245 = product of:
0.08135773 = sum of:
0.08135773 = weight(_text_:22 in 4577) [ClassicSimilarity], result of:
0.08135773 = score(doc=4577,freq=2.0), product of:
0.15020029 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.04289195 = 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)
0.33333334 = coord(1/3)
0.25 = coord(1/4)
- Date
- 2. 4.2000 18:01:22
-
Witten, I.H.; Frank, E.: Data Mining : Praktische Werkzeuge und Techniken für das maschinelle Lernen (2000)
0.01
0.005864018 = product of:
0.023456072 = sum of:
0.023456072 = product of:
0.070368215 = sum of:
0.070368215 = weight(_text_:29 in 6833) [ClassicSimilarity], result of:
0.070368215 = score(doc=6833,freq=2.0), product of:
0.15088047 = queryWeight, product of:
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.04289195 = queryNorm
0.46638384 = fieldWeight in 6833, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.09375 = fieldNorm(doc=6833)
0.33333334 = coord(1/3)
0.25 = coord(1/4)
- Date
- 27. 1.1996 10:29:55
-
Keim, D.A.: Data Mining mit bloßem Auge (2002)
0.01
0.005864018 = product of:
0.023456072 = sum of:
0.023456072 = product of:
0.070368215 = sum of:
0.070368215 = weight(_text_:29 in 1086) [ClassicSimilarity], result of:
0.070368215 = score(doc=1086,freq=2.0), product of:
0.15088047 = queryWeight, product of:
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.04289195 = queryNorm
0.46638384 = fieldWeight in 1086, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.09375 = fieldNorm(doc=1086)
0.33333334 = coord(1/3)
0.25 = coord(1/4)
- Date
- 31.12.1996 19:29:41
-
Kruse, R.; Borgelt, C.: Suche im Datendschungel (2002)
0.01
0.005864018 = product of:
0.023456072 = sum of:
0.023456072 = product of:
0.070368215 = sum of:
0.070368215 = weight(_text_:29 in 1087) [ClassicSimilarity], result of:
0.070368215 = score(doc=1087,freq=2.0), product of:
0.15088047 = queryWeight, product of:
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.04289195 = queryNorm
0.46638384 = fieldWeight in 1087, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.09375 = fieldNorm(doc=1087)
0.33333334 = coord(1/3)
0.25 = coord(1/4)
- Date
- 31.12.1996 19:29:41
-
Wrobel, S.: Lern- und Entdeckungsverfahren (2002)
0.01
0.005864018 = product of:
0.023456072 = sum of:
0.023456072 = product of:
0.070368215 = sum of:
0.070368215 = weight(_text_:29 in 1105) [ClassicSimilarity], result of:
0.070368215 = score(doc=1105,freq=2.0), product of:
0.15088047 = queryWeight, product of:
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.04289195 = queryNorm
0.46638384 = fieldWeight in 1105, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.09375 = fieldNorm(doc=1105)
0.33333334 = coord(1/3)
0.25 = coord(1/4)
- Date
- 31.12.1996 19:29:41
-
Borgelt, C.; Kruse, R.: Unsicheres Wissen nutzen (2002)
0.00
0.004886682 = product of:
0.019546729 = sum of:
0.019546729 = product of:
0.058640182 = sum of:
0.058640182 = weight(_text_:29 in 1104) [ClassicSimilarity], result of:
0.058640182 = score(doc=1104,freq=2.0), product of:
0.15088047 = queryWeight, product of:
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.04289195 = queryNorm
0.38865322 = fieldWeight in 1104, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.078125 = fieldNorm(doc=1104)
0.33333334 = coord(1/3)
0.25 = coord(1/4)
- Date
- 31.12.1996 19:29:41
-
Tiefschürfen in Datenbanken (2002)
0.00
0.0039093453 = product of:
0.015637381 = sum of:
0.015637381 = product of:
0.04691214 = sum of:
0.04691214 = weight(_text_:29 in 996) [ClassicSimilarity], result of:
0.04691214 = score(doc=996,freq=2.0), product of:
0.15088047 = queryWeight, product of:
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.04289195 = queryNorm
0.31092256 = fieldWeight in 996, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.0625 = fieldNorm(doc=996)
0.33333334 = coord(1/3)
0.25 = coord(1/4)
- Date
- 31.12.1996 19:29:41
-
Bath, P.A.: Data mining in health and medical information (2003)
0.00
0.0039093453 = product of:
0.015637381 = sum of:
0.015637381 = product of:
0.04691214 = sum of:
0.04691214 = weight(_text_:29 in 4263) [ClassicSimilarity], result of:
0.04691214 = score(doc=4263,freq=2.0), product of:
0.15088047 = queryWeight, product of:
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.04289195 = queryNorm
0.31092256 = fieldWeight in 4263, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.0625 = fieldNorm(doc=4263)
0.33333334 = coord(1/3)
0.25 = coord(1/4)
- Date
- 23.10.2005 18:29:03
