-
1
-
-
0001371923
-
Fast discovery of association rules
-
U.M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, R. Uthurusamy (Eds.), AAAI Press/The MIT Press
-
Agrawal, R., Mannila, H., Srikant, R., Toivonen, H., & Verkamo, A.I. (1996). Fast Discovery of Association Rules. In U.M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, R. Uthurusamy (Eds.), Advances in Knowledge Discovery and Data Mining AAAI Press/The MIT Press.
-
(1996)
Advances in Knowledge Discovery and Data Mining
-
-
Agrawal, R.1
Mannila, H.2
Srikant, R.3
Toivonen, H.4
Verkamo, A.I.5
-
2
-
-
0001918655
-
Feature selection for case-based classification of cloud types: An empirical comparison
-
Seattle, WA:AAAI Press
-
Aha, D.W., & Bankert, R.L. (1994). Feature selection for case-based classification of cloud types: An empirical comparison, Proceedings of the AAAI'94 Workshop on Case-Based Reasoning (pp. 106-112). Seattle, WA:AAAI Press.
-
(1994)
Proceedings of the AAAI'94 Workshop on Case-Based Reasoning
, pp. 106-112
-
-
Aha, D.W.1
Bankert, R.L.2
-
5
-
-
0002640910
-
Hybrid learning using genetis algorithms and decision trees for pattern classification
-
Montreal, Quebec
-
Bala, J., Huang, J., & Vafaie, H. (1995). Hybrid Learning Using Genetis Algorithms and Decision Trees for Pattern Classification. Proceedings of the 14th International Joint Conference on Artificial Intelligence IJCAI-95 (pp. 719-724), Montreal, Quebec.
-
(1995)
Proceedings of the 14th International Joint Conference on Artificial Intelligence IJCAI-95
, pp. 719-724
-
-
Bala, J.1
Huang, J.2
Vafaie, H.3
-
7
-
-
0029546874
-
Using linear algebra for intelligent information retrieval
-
Berry, M.W., Dumais, S.T., & OBrein, G.W. (1995). Using linear algebra for intelligent information retrieval. SIAM Review, 4, (Vol. 37), 573-595.
-
(1995)
SIAM Review, 4
, vol.37
, pp. 573-595
-
-
Berry, M.W.1
Dumais, S.T.2
Obrein, G.W.3
-
8
-
-
1542365112
-
Dimensionality reduction via sparse support vector machines
-
Bi, J., Bennett, K.P., Embrechts, M., Breneman, C.M., Song, M. (2003). Dimensionality Reduction via Sparse Support Vector Machines. Journal of Machine Learning Research 3, 1229-1243.
-
(2003)
Journal of Machine Learning Research
, vol.3
, pp. 1229-1243
-
-
Bi, J.1
Bennett, K.P.2
Embrechts, M.3
Breneman, C.M.4
Song, M.5
-
10
-
-
77951430107
-
Distributional word clusters vs. words for text categorization
-
Bekkerman, R., El-Yaniv, R., Tishby, N., Winter, Y. (2003). Distributional Word Clusters vs. Words for Text Categorization. Journal of Machine Learning Research, 3, 1183-1208.
-
(2003)
Journal of Machine Learning Research
, vol.3
, pp. 1183-1208
-
-
Bekkerman, R.1
El-Yaniv, R.2
Tishby, N.3
Winter, Y.4
-
11
-
-
2942670930
-
Feature selection using support vector machines
-
(Zanasi, A., ed.). Southampton: WIT
-
Brank, J., Grobelnik, M., Milić-Frayling, N., Mladenić, D. (2002). Feature selection using support vector machines. In Data mining III (Zanasi, A., ed.). Southampton: WIT, 261-273.
-
(2002)
Data Mining III
, pp. 261-273
-
-
Brank, J.1
Grobelnik, M.2
Milić-Frayling, N.3
Mladenić, D.4
-
14
-
-
2942734703
-
Benefitting from the variables that variable selection discards
-
Caruana, R., de Sa, V.R. (2003). Benefitting from the Variables that Variable Selection Discards. Journal of Machine Learning Research, 3, 1245-1264.
-
(2003)
Journal of Machine Learning Research
, vol.3
, pp. 1245-1264
-
-
Caruana, R.1
De Sa, V.R.2
-
15
-
-
0000776545
-
Scalable feature selection, classification and signature generation for organizing large text databases into hierarchical topic taxonomies
-
Spinger-Verlag
-
Chakrabarti, S., Dom, B., Agrawal, R., Raghavan, P. (1998). Scalable feature selection, classification and signature generation for organizing large text databases into hierarchical topic taxonomies. The VLDB Journal, 7, 163-178, Spinger-Verlag.
-
(1998)
The VLDB Journal
, vol.7
, pp. 163-178
-
-
Chakrabarti, S.1
Dom, B.2
Agrawal, R.3
Raghavan, P.4
-
18
-
-
2942723846
-
A divisive information-theoretic feature clustering algorithm for text classification
-
Dhillon, I., Mallela, S., Kumar, R. (2003). A Divisive Information-Theoretic Feature Clustering Algorithm for Text Classification. Journal of Machine Learning Research, 3, 1265-1287.
-
(2003)
Journal of Machine Learning Research
, vol.3
, pp. 1265-1287
-
-
Dhillon, I.1
Mallela, S.2
Kumar, R.3
-
19
-
-
0031269184
-
On the optimality of the simple bayesian classifier under zero-one Loss
-
Kluwer Academic Publishers
-
Domingos, P., & Pazzani, M. (1997). On the Optimality of the Simple Bayesian Classifier under Zero-One Loss. Machine Learning, 29, 103-130. Kluwer Academic Publishers.
-
(1997)
Machine Learning
, vol.29
, pp. 103-130
-
-
Domingos, P.1
Pazzani, M.2
-
20
-
-
9144267095
-
An introduction to inductive logic programming
-
Dzeroski, Lavrac (eds.) Berlin:Springer, 2001
-
Dzeroski, S., Lavrac, N. (2001). An introduction to inductive logic programming. In: Relational data mining, Dzeroski, Lavrac (eds.) Berlin:Springer, 2001, pp. 48-73.
-
(2001)
Relational Data Mining
, pp. 48-73
-
-
Dzeroski, S.1
Lavrac, N.2
-
21
-
-
33745850780
-
-
Yahoo! Inc.
-
Filo, D., & Yang, J. (1997). Yahoo! Inc. http://www.yahoo.com/docs/pr/
-
(1997)
-
-
Filo, D.1
Yang, J.2
-
22
-
-
2942731012
-
An extensive empirical study of feature selection metrics for text classification
-
Forman, G. (2003). An Extensive Empirical Study of Feature Selection Metrics for Text Classification, Journal of Machine Learning Research 3, 1289-1305.
-
(2003)
Journal of Machine Learning Research
, vol.3
, pp. 1289-1305
-
-
Forman, G.1
-
23
-
-
0003427935
-
-
Frakes W.B., & Baeza-Yates R., (Eds.) Englewood Cliffs: Prentice Hall
-
Frakes W.B., & Baeza-Yates R., (Eds.) (1992). Information Retrieval: Data Structures & Algorithms. Englewood Cliffs: Prentice Hall.
-
(1992)
Information Retrieval: Data Structures & Algorithms
-
-
-
24
-
-
80455131402
-
Sufficient dimensionality reduction
-
Globerson, A., Tishby, N. (2003). Sufficient Dimensionality Reduction, Journal of Machine Learning Research, 3, 1307-1331.
-
(2003)
Journal of Machine Learning Research
, vol.3
, pp. 1307-1331
-
-
Globerson, A.1
Tishby, N.2
-
26
-
-
0003521020
-
Learning machine: Design and implementation
-
Department for Intelligent Systems, J.Stefan Institute, Slovenia
-
Grobelnik, M., & Mladenić, D. (1998). Learning Machine: design and implementation. Technical Report IJS-DP-7824- Department for Intelligent Systems, J.Stefan Institute, Slovenia.
-
(1998)
Technical Report
, vol.IJS-DP-7824
-
-
Grobelnik, M.1
Mladenić, D.2
-
30
-
-
0012172293
-
Adaptive personal information filtering system that organizes personal profiles automatically
-
Kindo, T., Yoshida, H., Morimoto, T., & Watanabe, T. (1997). Adaptive Personal Information Filtering System that Organizes Personal Profiles Automatically. Proceedings of the 15th International Joint Conference on Artificial Intelligence IJCAI-97 (pp. 716-721).
-
(1997)
Proceedings of the 15th International Joint Conference on Artificial Intelligence IJCAI-97
, pp. 716-721
-
-
Kindo, T.1
Yoshida, H.2
Morimoto, T.3
Watanabe, T.4
-
36
-
-
0002312061
-
Feature selection and feature extraction for text categorization
-
Harriman, CA:Morgan Kaufmann
-
Lewis, D.D. (1992). Feature Selection and Feature Extraction for Text Categorization. Proceedings of Speech and Natural Language workshop (pp. 212-217). Harriman, CA:Morgan Kaufmann.
-
(1992)
Proceedings of Speech and Natural Language Workshop
, pp. 212-217
-
-
Lewis, D.D.1
-
41
-
-
0004255908
-
-
The McGraw-Hill Companies, Inc.
-
Mitchell, T.M. (1997). Machine Learning. The McGraw-Hill Companies, Inc.
-
(1997)
Machine Learning
-
-
Mitchell, T.M.1
-
43
-
-
0012133755
-
-
M.Sc. Thesis, Faculty of computer and information science, University of Ljubljan, Slovenia
-
Mladenić, D. (1995). Domain-Tailored Machine Learning. M.Sc. Thesis, Faculty of computer and information science, University of Ljubljan, Slovenia.
-
(1995)
Domain-Tailored Machine Learning
-
-
Mladenić, D.1
-
44
-
-
0003433013
-
Personal webwatcher: Implementation and design
-
Department for Intelligent Systems, J.Stefan Institute, Slovenia
-
Mladenić, D. (1996). Personal WebWatcher: Implementation and Design. Technical Report IJS-DP-7472. Department for Intelligent Systems, J.Stefan Institute, Slovenia.
-
(1996)
Technical Report
, vol.IJS-DP-7472
-
-
Mladenić, D.1
-
48
-
-
23144467052
-
Mapping documents onto web page ontology
-
Web mining : from web to semantic web (Berendt, B., Hotho, A., Mladenic, D., Someren, M.W. Van, Spiliopoulou, M., Stumme, G., eds.), Lecture notes in artificial inteligence, Berlin; Heidelberg; New York: Springer, 2004
-
Mladenić, D., & Grobelnik, M. (2004). Mapping documents onto web page ontology. In: Web mining : from web to semantic web (Berendt, B., Hotho, A., Mladenic, D., Someren, M.W. Van, Spiliopoulou, M., Stumme, G., eds.), Lecture notes in artificial inteligence, Lecture notes in computer science, vol. 3209, Berlin; Heidelberg; New York: Springer, 2004, 77-96.
-
(2004)
Lecture Notes in Computer Science
, vol.3209
, pp. 77-96
-
-
Mladenić, D.1
Grobelnik, M.2
-
49
-
-
0031168547
-
Learning and revising user profiles: The identification of interesting web sites
-
Pazzani, M., & Billsus, D. (1997). Learning and Revising User Profiles: The Identification of Interesting Web Sites. Machine Learning, 27, 313-331.
-
(1997)
Machine Learning
, vol.27
, pp. 313-331
-
-
Pazzani, M.1
Billsus, D.2
-
50
-
-
1942418470
-
Grafting: Fast, incremental feature selection by gradient descent in function space
-
Perkins, S., Lacker, K., Theiler, J. (2003). Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space. Journal of Machine Learning Research, 3, 1333-1356.
-
(2003)
Journal of Machine Learning Research
, vol.3
, pp. 1333-1356
-
-
Perkins, S.1
Lacker, K.2
Theiler, J.3
-
51
-
-
0012211753
-
Compression-based feature subset selection
-
P. Turney (Ed.), Workshop Program Working Notes, Montreal, Canada, 1995
-
Pfahringer, B. (1995). Compression-Based Feature Subset Selection. In P. Turney (Ed.), Proceedings of the IJCAI-95 Workshop on Data Engineering for Inductive Learning, Workshop Program Working Notes, Montreal, Canada, 1995.
-
(1995)
Proceedings of the IJCAI-95 Workshop on Data Engineering for Inductive Learning
-
-
Pfahringer, B.1
-
54
-
-
0019717252
-
The selection of good search terms
-
van Rijsbergen, C.J,. Harper, D.J., & Porter, M.F. (1981). The selection of good search terms. Information Processing & Management, 17, 77-91.
-
(1981)
Information Processing & Management
, vol.17
, pp. 77-91
-
-
Van Rijsbergen, C.J.1
Harper, D.J.2
Porter, M.F.3
-
55
-
-
0141990695
-
Theoretical and empirical analysis of reliefF and RReliefF
-
Kluwer Academic Publishers
-
Robnik-Sikonja, M., Kononenko, I. (2003). Theoretical and Empirical Analysis of ReliefF and RReliefF. Machine Learning, 53, 23-69, Kluwer Academic Publishers.
-
(2003)
Machine Learning
, vol.53
, pp. 23-69
-
-
Robnik-Sikonja, M.1
Kononenko, I.2
-
57
-
-
0012208857
-
Term-relevance computations and perfect retrieval performance
-
Shaw Jr, W.M. (1995). Term-relevance computations and perfect retrieval performance. Information Processing & Management, 31(4) 491-498.
-
(1995)
Information Processing & Management
, vol.31
, Issue.4
, pp. 491-498
-
-
Shaw Jr., W.M.1
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