-
Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004)
0.05
0.04910157 = sum of:
0.032478295 = product of:
0.19486977 = sum of:
0.19486977 = weight(_text_:3a in 562) [ClassicSimilarity], result of:
0.19486977 = score(doc=562,freq=2.0), product of:
0.34673223 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.040897828 = 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)
0.16666667 = coord(1/6)
0.016623272 = product of:
0.033246543 = sum of:
0.033246543 = weight(_text_:22 in 562) [ClassicSimilarity], result of:
0.033246543 = score(doc=562,freq=2.0), product of:
0.14321722 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.040897828 = 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
0.03821131 = product of:
0.07642262 = sum of:
0.07642262 = sum of:
0.03763498 = weight(_text_:c in 1673) [ClassicSimilarity], result of:
0.03763498 = score(doc=1673,freq=2.0), product of:
0.14107318 = queryWeight, product of:
3.4494052 = idf(docFreq=3817, maxDocs=44218)
0.040897828 = queryNorm
0.2667763 = fieldWeight in 1673, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.4494052 = idf(docFreq=3817, maxDocs=44218)
0.0546875 = fieldNorm(doc=1673)
0.038787637 = weight(_text_:22 in 1673) [ClassicSimilarity], result of:
0.038787637 = score(doc=1673,freq=2.0), product of:
0.14321722 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.040897828 = 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
-
Yoon, Y.; Lee, C.; Lee, G.G.: ¬An effective procedure for constructing a hierarchical text classification system (2006)
0.04
0.03821131 = product of:
0.07642262 = sum of:
0.07642262 = sum of:
0.03763498 = weight(_text_:c in 5273) [ClassicSimilarity], result of:
0.03763498 = score(doc=5273,freq=2.0), product of:
0.14107318 = queryWeight, product of:
3.4494052 = idf(docFreq=3817, maxDocs=44218)
0.040897828 = queryNorm
0.2667763 = fieldWeight in 5273, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.4494052 = idf(docFreq=3817, maxDocs=44218)
0.0546875 = fieldNorm(doc=5273)
0.038787637 = weight(_text_:22 in 5273) [ClassicSimilarity], result of:
0.038787637 = score(doc=5273,freq=2.0), product of:
0.14321722 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.040897828 = 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)
- Date
- 22. 7.2006 16:24:52
-
Bianchini, C.; Bargioni, S.: Automated classification using linked open data : a case study on faceted classification and Wikidata (2021)
0.03
0.03431175 = sum of:
0.015494259 = product of:
0.09296555 = sum of:
0.09296555 = weight(_text_:authors in 724) [ClassicSimilarity], result of:
0.09296555 = score(doc=724,freq=4.0), product of:
0.1864456 = queryWeight, product of:
4.558814 = idf(docFreq=1258, maxDocs=44218)
0.040897828 = queryNorm
0.49862027 = fieldWeight in 724, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
4.558814 = idf(docFreq=1258, maxDocs=44218)
0.0546875 = fieldNorm(doc=724)
0.16666667 = coord(1/6)
0.01881749 = product of:
0.03763498 = sum of:
0.03763498 = weight(_text_:c in 724) [ClassicSimilarity], result of:
0.03763498 = score(doc=724,freq=2.0), product of:
0.14107318 = queryWeight, product of:
3.4494052 = idf(docFreq=3817, maxDocs=44218)
0.040897828 = queryNorm
0.2667763 = fieldWeight in 724, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.4494052 = idf(docFreq=3817, maxDocs=44218)
0.0546875 = fieldNorm(doc=724)
0.5 = coord(1/2)
- Abstract
- The Wikidata gadget, CCLitBox, for the automated classification of literary authors and works by a faceted classification and using Linked Open Data (LOD) is presented. The tool reproduces the classification algorithm of class O Literature of the Colon Classification and uses data freely available in Wikidata to create Colon Classification class numbers. CCLitBox is totally free and enables any user to classify literary authors and their works; it is easily accessible to everybody; it uses LOD from Wikidata but missing data for classification can be freely added if necessary; it is readymade for any cooperative and networked project.
-
Khoo, C.S.G.; Ng, K.; Ou, S.: ¬An exploratory study of human clustering of Web pages (2003)
0.02
0.017342808 = sum of:
0.006260626 = product of:
0.037563756 = sum of:
0.037563756 = weight(_text_:authors in 2741) [ClassicSimilarity], result of:
0.037563756 = score(doc=2741,freq=2.0), product of:
0.1864456 = queryWeight, product of:
4.558814 = idf(docFreq=1258, maxDocs=44218)
0.040897828 = queryNorm
0.20147301 = fieldWeight in 2741, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.558814 = idf(docFreq=1258, maxDocs=44218)
0.03125 = fieldNorm(doc=2741)
0.16666667 = coord(1/6)
0.011082182 = product of:
0.022164363 = sum of:
0.022164363 = weight(_text_:22 in 2741) [ClassicSimilarity], result of:
0.022164363 = score(doc=2741,freq=2.0), product of:
0.14321722 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.040897828 = queryNorm
0.15476047 = fieldWeight in 2741, 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=2741)
0.5 = coord(1/2)
- Abstract
- This study seeks to find out how human beings cluster Web pages naturally. Twenty Web pages retrieved by the Northem Light search engine for each of 10 queries were sorted by 3 subjects into categories that were natural or meaningful to them. lt was found that different subjects clustered the same set of Web pages quite differently and created different categories. The average inter-subject similarity of the clusters created was a low 0.27. Subjects created an average of 5.4 clusters for each sorting. The categories constructed can be divided into 10 types. About 1/3 of the categories created were topical. Another 20% of the categories relate to the degree of relevance or usefulness. The rest of the categories were subject-independent categories such as format, purpose, authoritativeness and direction to other sources. The authors plan to develop automatic methods for categorizing Web pages using the common categories created by the subjects. lt is hoped that the techniques developed can be used by Web search engines to automatically organize Web pages retrieved into categories that are natural to users. 1. Introduction The World Wide Web is an increasingly important source of information for people globally because of its ease of access, the ease of publishing, its ability to transcend geographic and national boundaries, its flexibility and heterogeneity and its dynamic nature. However, Web users also find it increasingly difficult to locate relevant and useful information in this vast information storehouse. Web search engines, despite their scope and power, appear to be quite ineffective. They retrieve too many pages, and though they attempt to rank retrieved pages in order of probable relevance, often the relevant documents do not appear in the top-ranked 10 or 20 documents displayed. Several studies have found that users do not know how to use the advanced features of Web search engines, and do not know how to formulate and re-formulate queries. Users also typically exert minimal effort in performing, evaluating and refining their searches, and are unwilling to scan more than 10 or 20 items retrieved (Jansen, Spink, Bateman & Saracevic, 1998). This suggests that the conventional ranked-list display of search results does not satisfy user requirements, and that better ways of presenting and summarizing search results have to be developed. One promising approach is to group retrieved pages into clusters or categories to allow users to navigate immediately to the "promising" clusters where the most useful Web pages are likely to be located. This approach has been adopted by a number of search engines (notably Northem Light) and search agents.
- Date
- 12. 9.2004 9:56:22
-
Subramanian, S.; Shafer, K.E.: Clustering (2001)
0.02
0.016623272 = product of:
0.033246543 = sum of:
0.033246543 = product of:
0.06649309 = sum of:
0.06649309 = weight(_text_:22 in 1046) [ClassicSimilarity], result of:
0.06649309 = score(doc=1046,freq=2.0), product of:
0.14321722 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.040897828 = 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
-
Reiner, U.: Automatische DDC-Klassifizierung von bibliografischen Titeldatensätzen (2009)
0.01
0.013852728 = product of:
0.027705455 = sum of:
0.027705455 = product of:
0.05541091 = sum of:
0.05541091 = weight(_text_:22 in 611) [ClassicSimilarity], result of:
0.05541091 = score(doc=611,freq=2.0), product of:
0.14321722 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.040897828 = queryNorm
0.38690117 = fieldWeight in 611, 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=611)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Date
- 22. 8.2009 12:54:24
-
HaCohen-Kerner, Y. et al.: Classification using various machine learning methods and combinations of key-phrases and visual features (2016)
0.01
0.013852728 = product of:
0.027705455 = sum of:
0.027705455 = product of:
0.05541091 = sum of:
0.05541091 = weight(_text_:22 in 2748) [ClassicSimilarity], result of:
0.05541091 = score(doc=2748,freq=2.0), product of:
0.14321722 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.040897828 = 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
-
Miyamoto, S.: Information clustering based an fuzzy multisets (2003)
0.01
0.013305976 = product of:
0.026611952 = sum of:
0.026611952 = product of:
0.053223904 = sum of:
0.053223904 = weight(_text_:c in 1071) [ClassicSimilarity], result of:
0.053223904 = score(doc=1071,freq=4.0), product of:
0.14107318 = queryWeight, product of:
3.4494052 = idf(docFreq=3817, maxDocs=44218)
0.040897828 = queryNorm
0.3772787 = fieldWeight in 1071, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.4494052 = idf(docFreq=3817, maxDocs=44218)
0.0546875 = fieldNorm(doc=1071)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Abstract
- A fuzzy multiset model for information clustering is proposed with application to information retrieval on the World Wide Web. Noting that a search engine retrieves multiple occurrences of the same subjects with possibly different degrees of relevance, we observe that fuzzy multisets provide an appropriate model of information retrieval on the WWW. Information clustering which means both term clustering and document clustering is considered. Three methods of the hard c-means, fuzzy c-means, and an agglomerative method using cluster centers are proposed. Two distances between fuzzy multisets and algorithms for calculating cluster centers are defined. Theoretical properties concerning the clustering algorithms are studied. Illustrative examples are given to show how the algorithms work.
-
Fagni, T.; Sebastiani, F.: Selecting negative examples for hierarchical text classification: An experimental comparison (2010)
0.01
0.011640305 = product of:
0.02328061 = sum of:
0.02328061 = product of:
0.04656122 = sum of:
0.04656122 = weight(_text_:c in 4101) [ClassicSimilarity], result of:
0.04656122 = score(doc=4101,freq=6.0), product of:
0.14107318 = queryWeight, product of:
3.4494052 = idf(docFreq=3817, maxDocs=44218)
0.040897828 = queryNorm
0.3300501 = fieldWeight in 4101, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
3.4494052 = idf(docFreq=3817, maxDocs=44218)
0.0390625 = fieldNorm(doc=4101)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Abstract
- Hierarchical text classification (HTC) approaches have recently attracted a lot of interest on the part of researchers in human language technology and machine learning, since they have been shown to bring about equal, if not better, classification accuracy with respect to their "flat" counterparts while allowing exponential time savings at both learning and classification time. A typical component of HTC methods is a "local" policy for selecting negative examples: Given a category c, its negative training examples are by default identified with the training examples that are negative for c and positive for the categories which are siblings of c in the hierarchy. However, this policy has always been taken for granted and never been subjected to careful scrutiny since first proposed 15 years ago. This article proposes a thorough experimental comparison between this policy and three other policies for the selection of negative examples in HTC contexts, one of which (BEST LOCAL (k)) is being proposed for the first time in this article. We compare these policies on the hierarchical versions of three supervised learning algorithms (boosting, support vector machines, and naïve Bayes) by performing experiments on two standard TC datasets, REUTERS-21578 and RCV1-V2.
-
Godby, C. J.; Stuler, J.: ¬The Library of Congress Classification as a knowledge base for automatic subject categorization (2001)
0.01
0.010752852 = product of:
0.021505704 = sum of:
0.021505704 = product of:
0.04301141 = sum of:
0.04301141 = weight(_text_:c in 1567) [ClassicSimilarity], result of:
0.04301141 = score(doc=1567,freq=2.0), product of:
0.14107318 = queryWeight, product of:
3.4494052 = idf(docFreq=3817, maxDocs=44218)
0.040897828 = queryNorm
0.3048872 = fieldWeight in 1567, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.4494052 = idf(docFreq=3817, maxDocs=44218)
0.0625 = fieldNorm(doc=1567)
0.5 = coord(1/2)
0.5 = coord(1/2)
-
Pfister, J.: Clustering von Patent-Dokumenten am Beispiel der Datenbanken des Fachinformationszentrums Karlsruhe (2006)
0.01
0.010752852 = product of:
0.021505704 = sum of:
0.021505704 = product of:
0.04301141 = sum of:
0.04301141 = weight(_text_:c in 5976) [ClassicSimilarity], result of:
0.04301141 = score(doc=5976,freq=2.0), product of:
0.14107318 = queryWeight, product of:
3.4494052 = idf(docFreq=3817, maxDocs=44218)
0.040897828 = queryNorm
0.3048872 = fieldWeight in 5976, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.4494052 = idf(docFreq=3817, maxDocs=44218)
0.0625 = fieldNorm(doc=5976)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Source
- Effektive Information Retrieval Verfahren in Theorie und Praxis: ausgewählte und erweiterte Beiträge des Vierten Hildesheimer Evaluierungs- und Retrievalworkshop (HIER 2005), Hildesheim, 20.7.2005. Hrsg.: T. Mandl u. C. Womser-Hacker
-
Bock, H.-H.: Datenanalyse zur Strukturierung und Ordnung von Information (1989)
0.01
0.009696909 = product of:
0.019393818 = sum of:
0.019393818 = product of:
0.038787637 = sum of:
0.038787637 = weight(_text_:22 in 141) [ClassicSimilarity], result of:
0.038787637 = score(doc=141,freq=2.0), product of:
0.14321722 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.040897828 = queryNorm
0.2708308 = fieldWeight in 141, 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=141)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Pages
- S.1-22
-
Dubin, D.: Dimensions and discriminability (1998)
0.01
0.009696909 = product of:
0.019393818 = sum of:
0.019393818 = product of:
0.038787637 = sum of:
0.038787637 = weight(_text_:22 in 2338) [ClassicSimilarity], result of:
0.038787637 = score(doc=2338,freq=2.0), product of:
0.14321722 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.040897828 = 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
0.009696909 = product of:
0.019393818 = sum of:
0.019393818 = product of:
0.038787637 = sum of:
0.038787637 = weight(_text_:22 in 1563) [ClassicSimilarity], result of:
0.038787637 = score(doc=1563,freq=2.0), product of:
0.14321722 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.040897828 = 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
-
Yi, K.: Automatic text classification using library classification schemes : trends, issues and challenges (2007)
0.01
0.009696909 = product of:
0.019393818 = sum of:
0.019393818 = product of:
0.038787637 = sum of:
0.038787637 = weight(_text_:22 in 2560) [ClassicSimilarity], result of:
0.038787637 = score(doc=2560,freq=2.0), product of:
0.14321722 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.040897828 = 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
-
Na, J.-C.; Sui, H.; Khoo, C.; Chan, S.; Zhou, Y.: Effectiveness of simple linguistic processing in automatic sentiment classification of product reviews (2004)
0.01
0.009504269 = product of:
0.019008538 = sum of:
0.019008538 = product of:
0.038017076 = sum of:
0.038017076 = weight(_text_:c in 2624) [ClassicSimilarity], result of:
0.038017076 = score(doc=2624,freq=4.0), product of:
0.14107318 = queryWeight, product of:
3.4494052 = idf(docFreq=3817, maxDocs=44218)
0.040897828 = queryNorm
0.2694848 = fieldWeight in 2624, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.4494052 = idf(docFreq=3817, maxDocs=44218)
0.0390625 = fieldNorm(doc=2624)
0.5 = coord(1/2)
0.5 = coord(1/2)
-
Qu, B.; Cong, G.; Li, C.; Sun, A.; Chen, H.: ¬An evaluation of classification models for question topic categorization (2012)
0.01
0.009504269 = product of:
0.019008538 = sum of:
0.019008538 = product of:
0.038017076 = sum of:
0.038017076 = weight(_text_:c in 237) [ClassicSimilarity], result of:
0.038017076 = score(doc=237,freq=4.0), product of:
0.14107318 = queryWeight, product of:
3.4494052 = idf(docFreq=3817, maxDocs=44218)
0.040897828 = queryNorm
0.2694848 = fieldWeight in 237, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.4494052 = idf(docFreq=3817, maxDocs=44218)
0.0390625 = fieldNorm(doc=237)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Abstract
- We study the problem of question topic classification using a very large real-world Community Question Answering (CQA) dataset from Yahoo! Answers. The dataset comprises 3.9 million questions and these questions are organized into more than 1,000 categories in a hierarchy. To the best knowledge, this is the first systematic evaluation of the performance of different classification methods on question topic classification as well as short texts. Specifically, we empirically evaluate the following in classifying questions into CQA categories: (a) the usefulness of n-gram features and bag-of-word features; (b) the performance of three standard classification algorithms (naive Bayes, maximum entropy, and support vector machines); (c) the performance of the state-of-the-art hierarchical classification algorithms; (d) the effect of training data size on performance; and (e) the effectiveness of the different components of CQA data, including subject, content, asker, and the best answer. The experimental results show what aspects are important for question topic classification in terms of both effectiveness and efficiency. We believe that the experimental findings from this study will be useful in real-world classification problems.
-
Liu, R.-L.: Context recognition for hierarchical text classification (2009)
0.01
0.008311636 = product of:
0.016623272 = sum of:
0.016623272 = product of:
0.033246543 = sum of:
0.033246543 = weight(_text_:22 in 2760) [ClassicSimilarity], result of:
0.033246543 = score(doc=2760,freq=2.0), product of:
0.14321722 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.040897828 = 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
-
Pfeffer, M.: Automatische Vergabe von RVK-Notationen mittels fallbasiertem Schließen (2009)
0.01
0.008311636 = product of:
0.016623272 = sum of:
0.016623272 = product of:
0.033246543 = sum of:
0.033246543 = weight(_text_:22 in 3051) [ClassicSimilarity], result of:
0.033246543 = score(doc=3051,freq=2.0), product of:
0.14321722 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.040897828 = queryNorm
0.23214069 = fieldWeight in 3051, 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=3051)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Date
- 22. 8.2009 19:51:28
