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

9783540440376, 9783540456810

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Mining Hierarchical Decision Rules from Clinical Databases Using Rough Sets and Medical Diagnostic Model

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

10.1007/3-540-45681-3_35 ◽

2002 ◽

pp. 423-435 ◽

Cited By ~ 8

Author(s):

Shusaku Tsumoto

Keyword(s):

Rough Sets ◽

Decision Rules ◽

Diagnostic Model ◽

Clinical Databases ◽

Hierarchical Decision ◽

Medical Diagnostic

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On the Discovery of Weak Periodicities in Large Time Series

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

10.1007/3-540-45681-3_5 ◽

2002 ◽

pp. 51-61 ◽

Cited By ~ 23

Author(s):

Christos Berberidis ◽

Ioannis Vlahavas ◽

Walid G. Aref ◽

Mikhail Atallah ◽

Ahmed K. Elmagarmid

Keyword(s):

Time Series ◽

Large Time

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Using Condensed Representations for Interactive Association Rule Mining

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

10.1007/3-540-45681-3_19 ◽

2002 ◽

pp. 225-236 ◽

Cited By ~ 15

Author(s):

Baptiste Jeudy ◽

Jean-François Boulicaut

Keyword(s):

Association Rule ◽

Association Rule Mining ◽

Rule Mining ◽

Condensed Representations

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A Novel Web Text Mining Method Using the Discrete Cosine Transform

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

10.1007/3-540-45681-3_32 ◽

2002 ◽

pp. 385-397 ◽

Cited By ~ 8

Author(s):

Laurence A. F. Park ◽

Marimuthu Palaniswami ◽

Kotagiri Ramamohanarao

Keyword(s):

Text Mining ◽

Discrete Cosine Transform ◽

Mining Method ◽

Cosine Transform ◽

Web Text Mining

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Long-Term Learning for Web Search Engines

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

10.1007/3-540-45681-3_22 ◽

2002 ◽

pp. 263-274 ◽

Cited By ~ 16

Author(s):

Charles Kemp ◽

Kotagiri Ramamohanarao

Keyword(s):

Search Engines ◽

Web Search ◽

Web Search Engines

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A Classification Approach for Prediction of Target Events in Temporal Sequences

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

10.1007/3-540-45681-3_11 ◽

2002 ◽

pp. 125-137 ◽

Cited By ~ 10

Author(s):

Carlotta Domeniconi ◽

Chang-shing Perng ◽

Ricardo Vilalta ◽

Sheng Ma

Keyword(s):

Classification Approach ◽

Temporal Sequences

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Clustering Ontology-Based Metadata in the Semantic Web

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

10.1007/3-540-45681-3_29 ◽

2002 ◽

pp. 348-360 ◽

Cited By ~ 77

Author(s):

Alexander Maedche ◽

Valentin Zacharias

Keyword(s):

Semantic Web

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SVM Classification Using Sequences of Phonemes and Syllables

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

10.1007/3-540-45681-3_31 ◽

2002 ◽

pp. 373-384 ◽

Cited By ~ 8

Author(s):

Gerhard Paaß ◽

Edda Leopold ◽

Martha Larson ◽

Jörg Kindermann ◽

Stefan Eickeler

Keyword(s):

Svm Classification

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Iteratively Selecting Feature Subsets for Mining from High-Dimensional Databases

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

10.1007/3-540-45681-3_30 ◽

2002 ◽

pp. 361-372 ◽

Cited By ~ 3

Author(s):

Hiroshi Mamitsuka

Keyword(s):

High Dimensional

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Unsupervised Learning: Self-aggregation in Scaled Principal Component Space*

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

10.1007/3-540-45681-3_10 ◽

2002 ◽

pp. 112-124 ◽

Cited By ~ 12

Author(s):

Chris Ding ◽

Xiaofeng He ◽

Hongyuan Zha ◽

Horst Simon

Keyword(s):

Unsupervised Learning ◽

Principal Component ◽

Self Aggregation

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Principles of Data Mining and Knowledge Discovery - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Mining Hierarchical Decision Rules from Clinical Databases Using Rough Sets and Medical Diagnostic Model

On the Discovery of Weak Periodicities in Large Time Series

Using Condensed Representations for Interactive Association Rule Mining

A Novel Web Text Mining Method Using the Discrete Cosine Transform

Long-Term Learning for Web Search Engines

A Classification Approach for Prediction of Target Events in Temporal Sequences

Clustering Ontology-Based Metadata in the Semantic Web

SVM Classification Using Sequences of Phonemes and Syllables

Iteratively Selecting Feature Subsets for Mining from High-Dimensional Databases

Unsupervised Learning: Self-aggregation in Scaled Principal Component Space*

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