-
Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004)
0.10
0.10409279 = sum of:
0.08288213 = product of:
0.24864638 = sum of:
0.24864638 = weight(_text_:3a in 562) [ClassicSimilarity], result of:
0.24864638 = score(doc=562,freq=2.0), product of:
0.4424171 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.052184064 = queryNorm
0.56201804 = fieldWeight in 562, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
8.478011 = idf(docFreq=24, maxDocs=44218)
0.046875 = fieldNorm(doc=562)
0.33333334 = coord(1/3)
0.021210661 = product of:
0.042421322 = sum of:
0.042421322 = weight(_text_:22 in 562) [ClassicSimilarity], result of:
0.042421322 = score(doc=562,freq=2.0), product of:
0.1827397 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.052184064 = queryNorm
0.23214069 = fieldWeight in 562, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.046875 = fieldNorm(doc=562)
0.5 = coord(1/2)
- Content
- Vgl.: http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CEAQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.91.4940%26rep%3Drep1%26type%3Dpdf&ei=dOXrUMeIDYHDtQahsIGACg&usg=AFQjCNHFWVh6gNPvnOrOS9R3rkrXCNVD-A&sig2=5I2F5evRfMnsttSgFF9g7Q&bvm=bv.1357316858,d.Yms.
- Date
- 8. 1.2013 10:22:32
-
Jenkins, C.: Automatic classification of Web resources using Java and Dewey Decimal Classification (1998)
0.04
0.043804124 = product of:
0.08760825 = sum of:
0.08760825 = sum of:
0.038116705 = weight(_text_:systems in 1673) [ClassicSimilarity], result of:
0.038116705 = score(doc=1673,freq=2.0), product of:
0.16037072 = queryWeight, product of:
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.052184064 = queryNorm
0.23767869 = fieldWeight in 1673, 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=1673)
0.049491543 = weight(_text_:22 in 1673) [ClassicSimilarity], result of:
0.049491543 = score(doc=1673,freq=2.0), product of:
0.1827397 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.052184064 = queryNorm
0.2708308 = fieldWeight in 1673, 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=1673)
0.5 = coord(1/2)
- Date
- 1. 8.1996 22:08:06
- Source
- Computer networks and ISDN systems. 30(1998) nos.1/7, S.646-648
-
Subramanian, S.; Shafer, K.E.: Clustering (2001)
0.02
0.021210661 = product of:
0.042421322 = sum of:
0.042421322 = product of:
0.084842645 = sum of:
0.084842645 = weight(_text_:22 in 1046) [ClassicSimilarity], result of:
0.084842645 = score(doc=1046,freq=2.0), product of:
0.1827397 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.052184064 = queryNorm
0.46428138 = fieldWeight in 1046, 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=1046)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Date
- 5. 5.2003 14:17:22
-
HaCohen-Kerner, Y. et al.: Classification using various machine learning methods and combinations of key-phrases and visual features (2016)
0.02
0.01767555 = product of:
0.0353511 = sum of:
0.0353511 = product of:
0.0707022 = sum of:
0.0707022 = weight(_text_:22 in 2748) [ClassicSimilarity], result of:
0.0707022 = score(doc=2748,freq=2.0), product of:
0.1827397 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.052184064 = queryNorm
0.38690117 = fieldWeight in 2748, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.078125 = fieldNorm(doc=2748)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Date
- 1. 2.2016 18:25:22
-
Ruocco, A.S.; Frieder, O.: Clustering and classification of large document bases in a parallel environment (1997)
0.02
0.016505018 = product of:
0.033010036 = sum of:
0.033010036 = product of:
0.06602007 = sum of:
0.06602007 = weight(_text_:systems in 1661) [ClassicSimilarity], result of:
0.06602007 = score(doc=1661,freq=6.0), product of:
0.16037072 = queryWeight, product of:
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.052184064 = queryNorm
0.41167158 = fieldWeight in 1661, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.0546875 = fieldNorm(doc=1661)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Abstract
- Proposes the use of parallel computing systems to overcome the computationally intense clustering process. Examines 2 operations: clustering a document set and classifying the document set. Uses a subset of the TIPSTER corpus, specifically, articles from the Wall Street Journal. Document set classification was performed without the large storage requirements for ancillary data matrices. The time performance of the parallel systems was an improvement over sequential systems times, and produced the same clustering and classification scheme. Results show near linear speed up in higher threshold clustering applications
-
Choi, B.; Peng, X.: Dynamic and hierarchical classification of Web pages (2004)
0.01
0.014147157 = product of:
0.028294314 = sum of:
0.028294314 = product of:
0.056588627 = sum of:
0.056588627 = weight(_text_:systems in 2555) [ClassicSimilarity], result of:
0.056588627 = score(doc=2555,freq=6.0), product of:
0.16037072 = queryWeight, product of:
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.052184064 = queryNorm
0.35286134 = fieldWeight in 2555, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.046875 = fieldNorm(doc=2555)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Abstract
- Automatic classification of Web pages is an effective way to organise the vast amount of information and to assist in retrieving relevant information from the Internet. Although many automatic classification systems have been proposed, most of them ignore the conflict between the fixed number of categories and the growing number of Web pages being added into the systems. They also require searching through all existing categories to make any classification. This article proposes a dynamic and hierarchical classification system that is capable of adding new categories as required, organising the Web pages into a tree structure, and classifying Web pages by searching through only one path of the tree. The proposed single-path search technique reduces the search complexity from (n) to (log(n)). Test results show that the system improves the accuracy of classification by 6 percent in comparison to related systems. The dynamic-category expansion technique also achieves satisfying results for adding new categories into the system as required.
-
Dubin, D.: Dimensions and discriminability (1998)
0.01
0.012372886 = product of:
0.024745772 = sum of:
0.024745772 = product of:
0.049491543 = sum of:
0.049491543 = weight(_text_:22 in 2338) [ClassicSimilarity], result of:
0.049491543 = score(doc=2338,freq=2.0), product of:
0.1827397 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.052184064 = queryNorm
0.2708308 = fieldWeight in 2338, 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=2338)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Date
- 22. 9.1997 19:16:05
-
Automatic classification research at OCLC (2002)
0.01
0.012372886 = product of:
0.024745772 = sum of:
0.024745772 = product of:
0.049491543 = sum of:
0.049491543 = weight(_text_:22 in 1563) [ClassicSimilarity], result of:
0.049491543 = score(doc=1563,freq=2.0), product of:
0.1827397 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.052184064 = queryNorm
0.2708308 = fieldWeight in 1563, 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=1563)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Date
- 5. 5.2003 9:22:09
-
Yoon, Y.; Lee, C.; Lee, G.G.: ¬An effective procedure for constructing a hierarchical text classification system (2006)
0.01
0.012372886 = product of:
0.024745772 = sum of:
0.024745772 = product of:
0.049491543 = sum of:
0.049491543 = weight(_text_:22 in 5273) [ClassicSimilarity], result of:
0.049491543 = score(doc=5273,freq=2.0), product of:
0.1827397 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.052184064 = queryNorm
0.2708308 = fieldWeight in 5273, 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=5273)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Date
- 22. 7.2006 16:24:52
-
Yi, K.: Automatic text classification using library classification schemes : trends, issues and challenges (2007)
0.01
0.012372886 = product of:
0.024745772 = sum of:
0.024745772 = product of:
0.049491543 = sum of:
0.049491543 = weight(_text_:22 in 2560) [ClassicSimilarity], result of:
0.049491543 = score(doc=2560,freq=2.0), product of:
0.1827397 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.052184064 = queryNorm
0.2708308 = fieldWeight in 2560, 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=2560)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Date
- 22. 9.2008 18:31:54
-
Savic, D.: Designing an expert system for classifying office documents (1994)
0.01
0.010890487 = product of:
0.021780973 = sum of:
0.021780973 = product of:
0.043561947 = sum of:
0.043561947 = weight(_text_:systems in 2655) [ClassicSimilarity], result of:
0.043561947 = score(doc=2655,freq=2.0), product of:
0.16037072 = queryWeight, product of:
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.052184064 = queryNorm
0.2716328 = fieldWeight in 2655, 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=2655)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Abstract
- Can records management benefit from artificial intelligence technology, in particular from expert systems? Gives an answer to this question by showing an example of a small scale prototype project in automatic classification of office documents. Project methodology and basic elements of an expert system's approach are elaborated to give guidelines to potential users of this promising technology
-
Losee, R.M.; Haas, S.W.: Sublanguage terms : dictionaries, usage, and automatic classification (1995)
0.01
0.010890487 = product of:
0.021780973 = sum of:
0.021780973 = product of:
0.043561947 = sum of:
0.043561947 = weight(_text_:systems in 2650) [ClassicSimilarity], result of:
0.043561947 = score(doc=2650,freq=2.0), product of:
0.16037072 = queryWeight, product of:
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.052184064 = queryNorm
0.2716328 = fieldWeight in 2650, 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=2650)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Abstract
- The use of terms from natural and social science titles and abstracts is studied from the perspective of sublanguages and their specialized dictionaries. Explores different notions of sublanguage distinctiveness. Object methods for separating hard and soft sciences are suggested based on measures of sublanguage use, dictionary characteristics, and sublanguage distinctiveness. Abstracts were automatically classified with a high degree of accuracy by using a formula that condsiders the degree of uniqueness of terms in each sublanguage. This may prove useful for text filtering of information retrieval systems
-
Ingwersen, P.; Wormell, I.: Ranganathan in the perspective of advanced information retrieval (1992)
0.01
0.010890487 = product of:
0.021780973 = sum of:
0.021780973 = product of:
0.043561947 = sum of:
0.043561947 = weight(_text_:systems in 7695) [ClassicSimilarity], result of:
0.043561947 = score(doc=7695,freq=2.0), product of:
0.16037072 = queryWeight, product of:
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.052184064 = queryNorm
0.2716328 = fieldWeight in 7695, 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=7695)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Abstract
- Examnines Ranganathan's approach to knowledge organisation and its relevance to intellectual accessibility in libraries. Discusses the current and future developments of his methodology and theories in knowledge-based systems. Topics covered include: semi-automatic classification and structure of thesauri; user-intermediary interactions in information retrieval (IR); semantic value-theory and uncertainty principles in IR; and case grammar
-
Koch, T.; Ardö, A.: Automatic classification of full-text HTML-documents from one specific subject area : DESIRE II D3.6a, Working Paper 2 (2000)
0.01
0.010890487 = product of:
0.021780973 = sum of:
0.021780973 = product of:
0.043561947 = sum of:
0.043561947 = weight(_text_:systems in 1667) [ClassicSimilarity], result of:
0.043561947 = score(doc=1667,freq=2.0), product of:
0.16037072 = queryWeight, product of:
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.052184064 = queryNorm
0.2716328 = fieldWeight in 1667, 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=1667)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Content
- 1 Introduction / 2 Method overview / 3 Ei thesaurus preprocessing / 4 Automatic classification process: 4.1 Matching -- 4.2 Weighting -- 4.3 Preparation for display / 5 Results of the classification process / 6 Evaluations / 7 Software / 8 Other applications / 9 Experiments with universal classification systems / References / Appendix A: Ei classification service: Software / Appendix B: Use of the classification software as subject filter in a WWW harvester.
-
Guerrero-Bote, V.P.; Moya Anegón, F. de; Herrero Solana, V.: Document organization using Kohonen's algorithm (2002)
0.01
0.010890487 = product of:
0.021780973 = sum of:
0.021780973 = product of:
0.043561947 = sum of:
0.043561947 = weight(_text_:systems in 2564) [ClassicSimilarity], result of:
0.043561947 = score(doc=2564,freq=2.0), product of:
0.16037072 = queryWeight, product of:
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.052184064 = queryNorm
0.2716328 = fieldWeight in 2564, 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=2564)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Abstract
- The classification of documents from a bibliographic database is a task that is linked to processes of information retrieval based on partial matching. A method is described of vectorizing reference documents from LISA which permits their topological organization using Kohonen's algorithm. As an example a map is generated of 202 documents from LISA, and an analysis is made of the possibilities of this type of neural network with respect to the development of information retrieval systems based on graphical browsing.
-
Liu, R.-L.: Context recognition for hierarchical text classification (2009)
0.01
0.010605331 = product of:
0.021210661 = sum of:
0.021210661 = product of:
0.042421322 = sum of:
0.042421322 = weight(_text_:22 in 2760) [ClassicSimilarity], result of:
0.042421322 = score(doc=2760,freq=2.0), product of:
0.1827397 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.052184064 = queryNorm
0.23214069 = fieldWeight in 2760, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.046875 = fieldNorm(doc=2760)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Date
- 22. 3.2009 19:11:54
-
Zhu, W.Z.; Allen, R.B.: Document clustering using the LSI subspace signature model (2013)
0.01
0.010605331 = product of:
0.021210661 = sum of:
0.021210661 = product of:
0.042421322 = sum of:
0.042421322 = weight(_text_:22 in 690) [ClassicSimilarity], result of:
0.042421322 = score(doc=690,freq=2.0), product of:
0.1827397 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.052184064 = queryNorm
0.23214069 = fieldWeight in 690, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.046875 = fieldNorm(doc=690)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Date
- 23. 3.2013 13:22:36
-
Egbert, J.; Biber, D.; Davies, M.: Developing a bottom-up, user-based method of web register classification (2015)
0.01
0.010605331 = product of:
0.021210661 = sum of:
0.021210661 = product of:
0.042421322 = sum of:
0.042421322 = weight(_text_:22 in 2158) [ClassicSimilarity], result of:
0.042421322 = score(doc=2158,freq=2.0), product of:
0.1827397 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.052184064 = queryNorm
0.23214069 = fieldWeight in 2158, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.046875 = fieldNorm(doc=2158)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Date
- 4. 8.2015 19:22:04
-
Humphrey, S.M.; Névéol, A.; Browne, A.; Gobeil, J.; Ruch, P.; Darmoni, S.J.: Comparing a rule-based versus statistical system for automatic categorization of MEDLINE documents according to biomedical specialty (2009)
0.01
0.009625921 = product of:
0.019251842 = sum of:
0.019251842 = product of:
0.038503684 = sum of:
0.038503684 = weight(_text_:systems in 3300) [ClassicSimilarity], result of:
0.038503684 = score(doc=3300,freq=4.0), product of:
0.16037072 = queryWeight, product of:
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.052184064 = queryNorm
0.24009174 = fieldWeight in 3300, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.0390625 = fieldNorm(doc=3300)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Abstract
- Automatic document categorization is an important research problem in Information Science and Natural Language Processing. Many applications, including, Word Sense Disambiguation and Information Retrieval in large collections, can benefit from such categorization. This paper focuses on automatic categorization of documents from the biomedical literature into broad discipline-based categories. Two different systems are described and contrasted: CISMeF, which uses rules based on human indexing of the documents by the Medical Subject Headings (MeSH) controlled vocabulary in order to assign metaterms (MTs), and Journal Descriptor Indexing (JDI), based on human categorization of about 4,000 journals and statistical associations between journal descriptors (JDs) and textwords in the documents. We evaluate and compare the performance of these systems against a gold standard of humanly assigned categories for 100 MEDLINE documents, using six measures selected from trec_eval. The results show that for five of the measures performance is comparable, and for one measure JDI is superior. We conclude that these results favor JDI, given the significantly greater intellectual overhead involved in human indexing and maintaining a rule base for mapping MeSH terms to MTs. We also note a JDI method that associates JDs with MeSH indexing rather than textwords, and it may be worthwhile to investigate whether this JDI method (statistical) and CISMeF (rule-based) might be combined and then evaluated showing they are complementary to one another.
-
Savic, D.: Automatic classification of office documents : review of available methods and techniques (1995)
0.01
0.009529176 = product of:
0.019058352 = sum of:
0.019058352 = product of:
0.038116705 = sum of:
0.038116705 = weight(_text_:systems in 2219) [ClassicSimilarity], result of:
0.038116705 = score(doc=2219,freq=2.0), product of:
0.16037072 = queryWeight, product of:
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.052184064 = queryNorm
0.23767869 = fieldWeight in 2219, 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=2219)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Abstract
- Classification of office documents is one of the administrative functions carried out by almost every organization and institution which sends and receives correspondence. Processing of this increasing amount of information coming and out going mail, in particular its classification, is time consuming and expensive. More and more organizations are seeking a solution for meeting this challenge by designing computer based systems for automatic classification. Examines the present status of available knowledge and methodology which can be used for automatic classification of office documents. Besides a review of classic methods and techniques, the focus id also placed on the application of artificial intelligence
