-
Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004)
0.07
0.06556342 = sum of:
0.05341308 = product of:
0.21365231 = sum of:
0.21365231 = weight(_text_:3a in 562) [ClassicSimilarity], result of:
0.21365231 = score(doc=562,freq=2.0), product of:
0.38015205 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.044839766 = 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)
0.25 = coord(1/4)
0.012150339 = product of:
0.036451016 = sum of:
0.036451016 = weight(_text_:22 in 562) [ClassicSimilarity], result of:
0.036451016 = score(doc=562,freq=2.0), product of:
0.15702122 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.044839766 = 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)
0.33333334 = coord(1/3)
- 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
-
Yu, W.; Gong, Y.: Document clustering by concept factorization (2004)
0.05
0.054030966 = product of:
0.10806193 = sum of:
0.10806193 = product of:
0.1620929 = sum of:
0.07575861 = weight(_text_:k in 4084) [ClassicSimilarity], result of:
0.07575861 = score(doc=4084,freq=2.0), product of:
0.160068 = queryWeight, product of:
3.569778 = idf(docFreq=3384, maxDocs=44218)
0.044839766 = queryNorm
0.47329018 = fieldWeight in 4084, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.569778 = idf(docFreq=3384, maxDocs=44218)
0.09375 = fieldNorm(doc=4084)
0.08633427 = weight(_text_:w in 4084) [ClassicSimilarity], result of:
0.08633427 = score(doc=4084,freq=2.0), product of:
0.17087564 = queryWeight, product of:
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.044839766 = queryNorm
0.5052462 = fieldWeight in 4084, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.09375 = fieldNorm(doc=4084)
0.6666667 = coord(2/3)
0.5 = coord(1/2)
- Source
- SIGIR'04: Proceedings of the 27th Annual International ACM-SIGIR Conference an Research and Development in Information Retrieval. Ed.: K. Järvelin, u.a
-
Zhu, W.Z.; Allen, R.B.: Document clustering using the LSI subspace signature model (2013)
0.03
0.03401997 = product of:
0.06803994 = sum of:
0.06803994 = product of:
0.1020599 = sum of:
0.06560889 = weight(_text_:k in 690) [ClassicSimilarity], result of:
0.06560889 = score(doc=690,freq=6.0), product of:
0.160068 = queryWeight, product of:
3.569778 = idf(docFreq=3384, maxDocs=44218)
0.044839766 = queryNorm
0.40988132 = fieldWeight in 690, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
3.569778 = idf(docFreq=3384, maxDocs=44218)
0.046875 = fieldNorm(doc=690)
0.036451016 = weight(_text_:22 in 690) [ClassicSimilarity], result of:
0.036451016 = score(doc=690,freq=2.0), product of:
0.15702122 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.044839766 = 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)
0.6666667 = coord(2/3)
0.5 = coord(1/2)
- Abstract
- We describe the latent semantic indexing subspace signature model (LSISSM) for semantic content representation of unstructured text. Grounded on singular value decomposition, the model represents terms and documents by the distribution signatures of their statistical contribution across the top-ranking latent concept dimensions. LSISSM matches term signatures with document signatures according to their mapping coherence between latent semantic indexing (LSI) term subspace and LSI document subspace. LSISSM does feature reduction and finds a low-rank approximation of scalable and sparse term-document matrices. Experiments demonstrate that this approach significantly improves the performance of major clustering algorithms such as standard K-means and self-organizing maps compared with the vector space model and the traditional LSI model. The unique contribution ranking mechanism in LSISSM also improves the initialization of standard K-means compared with random seeding procedure, which sometimes causes low efficiency and effectiveness of clustering. A two-stage initialization strategy based on LSISSM significantly reduces the running time of standard K-means procedures.
- Date
- 23. 3.2013 13:22:36
-
Yi, K.: Automatic text classification using library classification schemes : trends, issues and challenges (2007)
0.03
0.028906237 = product of:
0.057812475 = sum of:
0.057812475 = product of:
0.08671871 = sum of:
0.044192526 = weight(_text_:k in 2560) [ClassicSimilarity], result of:
0.044192526 = score(doc=2560,freq=2.0), product of:
0.160068 = queryWeight, product of:
3.569778 = idf(docFreq=3384, maxDocs=44218)
0.044839766 = queryNorm
0.27608594 = fieldWeight in 2560, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.569778 = idf(docFreq=3384, maxDocs=44218)
0.0546875 = fieldNorm(doc=2560)
0.042526186 = weight(_text_:22 in 2560) [ClassicSimilarity], result of:
0.042526186 = score(doc=2560,freq=2.0), product of:
0.15702122 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.044839766 = 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)
0.6666667 = coord(2/3)
0.5 = coord(1/2)
- Date
- 22. 9.2008 18:31:54
-
Sun, A.; Lim, E.-P.; Ng, W.-K.: Performance measurement framework for hierarchical text classification (2003)
0.03
0.027015483 = product of:
0.054030966 = sum of:
0.054030966 = product of:
0.08104645 = sum of:
0.037879307 = weight(_text_:k in 1808) [ClassicSimilarity], result of:
0.037879307 = score(doc=1808,freq=2.0), product of:
0.160068 = queryWeight, product of:
3.569778 = idf(docFreq=3384, maxDocs=44218)
0.044839766 = queryNorm
0.23664509 = fieldWeight in 1808, 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=1808)
0.043167137 = weight(_text_:w in 1808) [ClassicSimilarity], result of:
0.043167137 = score(doc=1808,freq=2.0), product of:
0.17087564 = queryWeight, product of:
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.044839766 = queryNorm
0.2526231 = fieldWeight in 1808, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.046875 = fieldNorm(doc=1808)
0.6666667 = coord(2/3)
0.5 = coord(1/2)
-
Sojka, P.; Lee, M.; Rehurek, R.; Hatlapatka, R.; Kucbel, M.; Bouche, T.; Goutorbe, C.; Anghelache, R.; Wojciechowski, K.: Toolset for entity and semantic associations : Final Release (2013)
0.03
0.027015483 = product of:
0.054030966 = sum of:
0.054030966 = product of:
0.08104645 = sum of:
0.037879307 = weight(_text_:k in 1057) [ClassicSimilarity], result of:
0.037879307 = score(doc=1057,freq=2.0), product of:
0.160068 = queryWeight, product of:
3.569778 = idf(docFreq=3384, maxDocs=44218)
0.044839766 = queryNorm
0.23664509 = fieldWeight in 1057, 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=1057)
0.043167137 = weight(_text_:w in 1057) [ClassicSimilarity], result of:
0.043167137 = score(doc=1057,freq=2.0), product of:
0.17087564 = queryWeight, product of:
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.044839766 = queryNorm
0.2526231 = fieldWeight in 1057, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.046875 = fieldNorm(doc=1057)
0.6666667 = coord(2/3)
0.5 = coord(1/2)
- Source
- https://wiki.eudml.eu/eudml-w/images/D8.4-v1.0.pdf
-
Pong, J.Y.-H.; Kwok, R.C.-W.; Lau, R.Y.-K.; Hao, J.-X.; Wong, P.C.-C.: ¬A comparative study of two automatic document classification methods in a library setting (2008)
0.03
0.02687127 = product of:
0.05374254 = sum of:
0.05374254 = product of:
0.08061381 = sum of:
0.044641193 = weight(_text_:k in 2532) [ClassicSimilarity], result of:
0.044641193 = score(doc=2532,freq=4.0), product of:
0.160068 = queryWeight, product of:
3.569778 = idf(docFreq=3384, maxDocs=44218)
0.044839766 = queryNorm
0.2788889 = fieldWeight in 2532, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.569778 = idf(docFreq=3384, maxDocs=44218)
0.0390625 = fieldNorm(doc=2532)
0.035972614 = weight(_text_:w in 2532) [ClassicSimilarity], result of:
0.035972614 = score(doc=2532,freq=2.0), product of:
0.17087564 = queryWeight, product of:
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.044839766 = queryNorm
0.21051927 = fieldWeight in 2532, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.0390625 = fieldNorm(doc=2532)
0.6666667 = coord(2/3)
0.5 = coord(1/2)
- Abstract
- In current library practice, trained human experts usually carry out document cataloguing and indexing based on a manual approach. With the explosive growth in the number of electronic documents available on the Internet and digital libraries, it is increasingly difficult for library practitioners to categorize both electronic documents and traditional library materials using just a manual approach. To improve the effectiveness and efficiency of document categorization at the library setting, more in-depth studies of using automatic document classification methods to categorize library items are required. Machine learning research has advanced rapidly in recent years. However, applying machine learning techniques to improve library practice is still a relatively unexplored area. This paper illustrates the design and development of a machine learning based automatic document classification system to alleviate the manual categorization problem encountered within the library setting. Two supervised machine learning algorithms have been tested. Our empirical tests show that supervised machine learning algorithms in general, and the k-nearest neighbours (KNN) algorithm in particular, can be used to develop an effective document classification system to enhance current library practice. Moreover, some concrete recommendations regarding how to practically apply the KNN algorithm to develop automatic document classification in a library setting are made. To our best knowledge, this is the first in-depth study of applying the KNN algorithm to automatic document classification based on the widely used LCC classification scheme adopted by many large libraries.
-
Yang, P.; Gao, W.; Tan, Q.; Wong, K.-F.: ¬A link-bridged topic model for cross-domain document classification (2013)
0.02
0.022512902 = product of:
0.045025803 = sum of:
0.045025803 = product of:
0.0675387 = sum of:
0.031566087 = weight(_text_:k in 2706) [ClassicSimilarity], result of:
0.031566087 = score(doc=2706,freq=2.0), product of:
0.160068 = queryWeight, product of:
3.569778 = idf(docFreq=3384, maxDocs=44218)
0.044839766 = queryNorm
0.19720423 = fieldWeight in 2706, 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=2706)
0.035972614 = weight(_text_:w in 2706) [ClassicSimilarity], result of:
0.035972614 = score(doc=2706,freq=2.0), product of:
0.17087564 = queryWeight, product of:
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.044839766 = queryNorm
0.21051927 = fieldWeight in 2706, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.0390625 = fieldNorm(doc=2706)
0.6666667 = coord(2/3)
0.5 = coord(1/2)
-
Sparck Jones, K.: Automatic classification (1976)
0.02
0.016835248 = product of:
0.033670496 = sum of:
0.033670496 = product of:
0.101011485 = sum of:
0.101011485 = weight(_text_:k in 2908) [ClassicSimilarity], result of:
0.101011485 = score(doc=2908,freq=2.0), product of:
0.160068 = queryWeight, product of:
3.569778 = idf(docFreq=3384, maxDocs=44218)
0.044839766 = queryNorm
0.63105357 = fieldWeight in 2908, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.569778 = idf(docFreq=3384, maxDocs=44218)
0.125 = fieldNorm(doc=2908)
0.33333334 = coord(1/3)
0.5 = coord(1/2)
-
Khoo, C.S.G.; Ng, K.; Ou, S.: ¬An exploratory study of human clustering of Web pages (2003)
0.02
0.016517852 = product of:
0.033035703 = sum of:
0.033035703 = product of:
0.04955355 = sum of:
0.025252871 = weight(_text_:k in 2741) [ClassicSimilarity], result of:
0.025252871 = score(doc=2741,freq=2.0), product of:
0.160068 = queryWeight, product of:
3.569778 = idf(docFreq=3384, maxDocs=44218)
0.044839766 = queryNorm
0.15776339 = fieldWeight in 2741, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.569778 = idf(docFreq=3384, maxDocs=44218)
0.03125 = fieldNorm(doc=2741)
0.024300678 = weight(_text_:22 in 2741) [ClassicSimilarity], result of:
0.024300678 = score(doc=2741,freq=2.0), product of:
0.15702122 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.044839766 = 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)
0.6666667 = coord(2/3)
0.5 = coord(1/2)
- Date
- 12. 9.2004 9:56:22
-
Subramanian, S.; Shafer, K.E.: Clustering (2001)
0.01
0.012150339 = product of:
0.024300678 = sum of:
0.024300678 = product of:
0.07290203 = sum of:
0.07290203 = weight(_text_:22 in 1046) [ClassicSimilarity], result of:
0.07290203 = score(doc=1046,freq=2.0), product of:
0.15702122 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.044839766 = 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)
0.33333334 = coord(1/3)
0.5 = coord(1/2)
- Date
- 5. 5.2003 14:17:22
-
Kwon, O.W.; Lee, J.H.: Text categorization based on k-nearest neighbor approach for web site classification (2003)
0.01
0.011763986 = product of:
0.023527972 = sum of:
0.023527972 = product of:
0.07058392 = sum of:
0.07058392 = weight(_text_:k in 1070) [ClassicSimilarity], result of:
0.07058392 = score(doc=1070,freq=10.0), product of:
0.160068 = queryWeight, product of:
3.569778 = idf(docFreq=3384, maxDocs=44218)
0.044839766 = queryNorm
0.44096208 = fieldWeight in 1070, product of:
3.1622777 = tf(freq=10.0), with freq of:
10.0 = termFreq=10.0
3.569778 = idf(docFreq=3384, maxDocs=44218)
0.0390625 = fieldNorm(doc=1070)
0.33333334 = coord(1/3)
0.5 = coord(1/2)
- Abstract
- Automatic categorization is a viable method to deal with the scaling problem on the World Wide Web. For Web site classification, this paper proposes the use of Web pages linked with the home page in a different manner from the sole use of home pages in previous research. To implement our proposed method, we derive a scheme for Web site classification based on the k-nearest neighbor (k-NN) approach. It consists of three phases: Web page selection (connectivity analysis), Web page classification, and Web site classification. Given a Web site, the Web page selection chooses several representative Web pages using connectivity analysis. The k-NN classifier next classifies each of the selected Web pages. Finally, the classified Web pages are extended to a classification of the entire Web site. To improve performance, we supplement the k-NN approach with a feature selection method and a term weighting scheme using markup tags, and also reform its document-document similarity measure. In our experiments on a Korean commercial Web directory, the proposed system, using both a home page and its linked pages, improved the performance of micro-averaging breakeven point by 30.02%, compared with an ordinary classification which uses a home page only.
-
Wätjen, H.-J.; Diekmann, B.; Möller, G.; Carstensen, K.-U.: Bericht zum DFG-Projekt: GERHARD : German Harvest Automated Retrieval and Directory (1998)
0.01
0.010522029 = product of:
0.021044059 = sum of:
0.021044059 = product of:
0.063132174 = sum of:
0.063132174 = weight(_text_:k in 3065) [ClassicSimilarity], result of:
0.063132174 = score(doc=3065,freq=2.0), product of:
0.160068 = queryWeight, product of:
3.569778 = idf(docFreq=3384, maxDocs=44218)
0.044839766 = queryNorm
0.39440846 = fieldWeight in 3065, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.569778 = idf(docFreq=3384, maxDocs=44218)
0.078125 = fieldNorm(doc=3065)
0.33333334 = coord(1/3)
0.5 = coord(1/2)
-
Shen, D.; Chen, Z.; Yang, Q.; Zeng, H.J.; Zhang, B.; Lu, Y.; Ma, W.Y.: Web page classification through summarization (2004)
0.01
0.010522029 = product of:
0.021044059 = sum of:
0.021044059 = product of:
0.063132174 = sum of:
0.063132174 = weight(_text_:k in 4132) [ClassicSimilarity], result of:
0.063132174 = score(doc=4132,freq=2.0), product of:
0.160068 = queryWeight, product of:
3.569778 = idf(docFreq=3384, maxDocs=44218)
0.044839766 = queryNorm
0.39440846 = fieldWeight in 4132, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.569778 = idf(docFreq=3384, maxDocs=44218)
0.078125 = fieldNorm(doc=4132)
0.33333334 = coord(1/3)
0.5 = coord(1/2)
- Source
- SIGIR'04: Proceedings of the 27th Annual International ACM-SIGIR Conference an Research and Development in Information Retrieval. Ed.: K. Järvelin, u.a
-
Hu, G.; Zhou, S.; Guan, J.; Hu, X.: Towards effective document clustering : a constrained K-means based approach (2008)
0.01
0.010416278 = product of:
0.020832555 = sum of:
0.020832555 = product of:
0.062497664 = sum of:
0.062497664 = weight(_text_:k in 2113) [ClassicSimilarity], result of:
0.062497664 = score(doc=2113,freq=4.0), product of:
0.160068 = queryWeight, product of:
3.569778 = idf(docFreq=3384, maxDocs=44218)
0.044839766 = queryNorm
0.39044446 = fieldWeight in 2113, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.569778 = idf(docFreq=3384, maxDocs=44218)
0.0546875 = fieldNorm(doc=2113)
0.33333334 = coord(1/3)
0.5 = coord(1/2)
- Abstract
- Document clustering is an important tool for document collection organization and browsing. In real applications, some limited knowledge about cluster membership of a small number of documents is often available, such as some pairs of documents belonging to the same cluster. This kind of prior knowledge can be served as constraints for the clustering process. We integrate the constraints into the trace formulation of the sum of square Euclidean distance function of K-means. Then, the combined criterion function is transformed into trace maximization, which is further optimized by eigen-decomposition. Our experimental evaluation shows that the proposed semi-supervised clustering method can achieve better performance, compared to three existing methods.
-
Reiner, U.: Automatische DDC-Klassifizierung von bibliografischen Titeldatensätzen (2009)
0.01
0.010125283 = product of:
0.020250566 = sum of:
0.020250566 = product of:
0.060751695 = sum of:
0.060751695 = weight(_text_:22 in 611) [ClassicSimilarity], result of:
0.060751695 = score(doc=611,freq=2.0), product of:
0.15702122 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.044839766 = 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)
0.33333334 = coord(1/3)
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
0.010125283 = product of:
0.020250566 = sum of:
0.020250566 = product of:
0.060751695 = sum of:
0.060751695 = weight(_text_:22 in 2748) [ClassicSimilarity], result of:
0.060751695 = score(doc=2748,freq=2.0), product of:
0.15702122 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.044839766 = 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)
0.33333334 = coord(1/3)
0.5 = coord(1/2)
- Date
- 1. 2.2016 18:25:22
-
Fangmeyer, H.; Gloden, R.: Bewertung und Vergleich von Klassifikationsergebnissen bei automatischen Verfahren (1978)
0.01
0.009592697 = product of:
0.019185394 = sum of:
0.019185394 = product of:
0.057556182 = sum of:
0.057556182 = weight(_text_:w in 81) [ClassicSimilarity], result of:
0.057556182 = score(doc=81,freq=2.0), product of:
0.17087564 = queryWeight, product of:
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.044839766 = queryNorm
0.33683082 = fieldWeight in 81, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.0625 = fieldNorm(doc=81)
0.33333334 = coord(1/3)
0.5 = coord(1/2)
- Source
- Kooperation in der Klassifikation I. Proc. der Sekt.1-3 der 2. Fachtagung der Gesellschaft für Klassifikation, Frankfurt-Hoechst, 6.-7.4.1978. Bearb.: W. Dahlberg
-
Bollmann, P.; Konrad, E.; Schneider, H.-J.; Zuse, H.: Anwendung automatischer Klassifikationsverfahren mit dem System FAKYR (1978)
0.01
0.009592697 = product of:
0.019185394 = sum of:
0.019185394 = product of:
0.057556182 = sum of:
0.057556182 = weight(_text_:w in 82) [ClassicSimilarity], result of:
0.057556182 = score(doc=82,freq=2.0), product of:
0.17087564 = queryWeight, product of:
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.044839766 = queryNorm
0.33683082 = fieldWeight in 82, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.0625 = fieldNorm(doc=82)
0.33333334 = coord(1/3)
0.5 = coord(1/2)
- Source
- Kooperation in der Klassifikation I. Proc. der Sekt.1-3 der 2. Fachtagung der Gesellschaft für Klassifikation, Frankfurt-Hoechst, 6.-7.4.1978. Bearb.: W. Dahlberg
-
Schulze, U.: Erfahrungen bei der Anwendung automatischer Klassifizierungsverfahren zur Inhaltsanalyse einer Dokumentenmenge (1978)
0.01
0.009592697 = product of:
0.019185394 = sum of:
0.019185394 = product of:
0.057556182 = sum of:
0.057556182 = weight(_text_:w in 83) [ClassicSimilarity], result of:
0.057556182 = score(doc=83,freq=2.0), product of:
0.17087564 = queryWeight, product of:
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.044839766 = queryNorm
0.33683082 = fieldWeight in 83, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.0625 = fieldNorm(doc=83)
0.33333334 = coord(1/3)
0.5 = coord(1/2)
- Source
- Kooperation in der Klassifikation I. Proc. der Sekt.1-3 der 2. Fachtagung der Gesellschaft für Klassifikation, Frankfurt-Hoechst, 6.-7.4.1978. Bearb.: W. Dahlberg
