Principles of Data Mining and Knowledge Discovery - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783540664901, 9783540482475

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A Logical Approach to Fuzzy Data Analysis

Principles of Data Mining and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-540-48247-5_51 ◽

1999 ◽

pp. 412-417 ◽

Author(s):

Churn-Jung Liau ◽

Duen-Ren Liu

Keyword(s):

Data Analysis ◽

Logical Approach

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The Improvement of Response Modeling: Combining Rule-Induction and Case-Based Reasoning

Principles of Data Mining and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-540-48247-5_34 ◽

1999 ◽

pp. 301-308

Author(s):

F. Coenen ◽

G. Swinnen ◽

K. Vanhoof ◽

G. Wets

Keyword(s):

Rule Induction ◽

Case Based Reasoning ◽

Response Modeling ◽

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Optimizing Disjunctive Association Rules

Principles of Data Mining and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-540-48247-5_22 ◽

1999 ◽

pp. 204-213 ◽

Author(s):

Dmitry Zelenko

Keyword(s):

Association Rules

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An Evolutionary Algorithm Using Multivariate Discretization for Decision Rule Induction

Principles of Data Mining and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-540-48247-5_48 ◽

1999 ◽

pp. 392-397 ◽

Author(s):

Wojciech Kwedlo ◽

Marek Krętowski

Keyword(s):

Evolutionary Algorithm ◽

Decision Rule ◽

Rule Induction ◽

Multivariate Discretization

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Discovering Rules in Information Trees

Principles of Data Mining and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-540-48247-5_67 ◽

1999 ◽

pp. 518-523 ◽

Author(s):

Zbigniew W. Ras

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Experiments in Meta-level Learning with ILP

Principles of Data Mining and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-540-48247-5_11 ◽

1999 ◽

pp. 98-106 ◽

Author(s):

Ljupčo Todorovski ◽

Sašo Džeroski

Keyword(s):

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Scaling up Dynamic Time Warping to Massive Datasets

Principles of Data Mining and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-540-48247-5_1 ◽

1999 ◽

pp. 1-11 ◽

Author(s):

Eamonn J. Keogh ◽

Michael J. Pazzani

Keyword(s):

Dynamic Time Warping ◽

Time Warping ◽

Massive Datasets ◽

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Automated Discovery of Polynomials by Inductive Genetic Programming

Principles of Data Mining and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-540-48247-5_58 ◽

1999 ◽

pp. 456-461 ◽

Author(s):

Nikolay Nikolaev ◽

Hitoshi Iba

Keyword(s):

Genetic Programming ◽

Automated Discovery

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Logics and Statistics for Association Rules and Beyond

Principles of Data Mining and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-540-48247-5_80 ◽

1999 ◽

pp. 586-587 ◽

Author(s):

Petr Hájek ◽

Jan Rauch

Keyword(s):

Association Rules

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TopCat: Data Mining for Topic Identification in a Text Corpus

Principles of Data Mining and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-540-48247-5_19 ◽

1999 ◽

pp. 174-183 ◽

Author(s):

Chris Clifton ◽

Robert Cooley

Keyword(s):

Data Mining ◽

Text Corpus ◽

Topic Identification

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