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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scholarly journals On the Discovery of Weak Periodicities in Large Time Series

2002 ◽  
pp. 51-61 ◽  
Author(s):  
Christos Berberidis ◽  
Ioannis Vlahavas ◽  
Walid G. Aref ◽  
Mikhail Atallah ◽  
Ahmed K. Elmagarmid
Keyword(s):  
Time Series ◽  
Large Time

scholarly journals A Novel Web Text Mining Method Using the Discrete Cosine Transform

2002 ◽  
pp. 385-397 ◽  
Author(s):  
Laurence A. F. Park ◽  
Marimuthu Palaniswami ◽  
Kotagiri Ramamohanarao
Keyword(s):  
Text Mining ◽  
Discrete Cosine Transform ◽  
Mining Method ◽  
Cosine Transform ◽  
Web Text Mining

scholarly journals Long-Term Learning for Web Search Engines

2002 ◽  
pp. 263-274 ◽  
Author(s):  
Charles Kemp ◽  
Kotagiri Ramamohanarao
Keyword(s):  
Search Engines ◽  
Web Search ◽  
Web Search Engines

scholarly journals A Classification Approach for Prediction of Target Events in Temporal Sequences

2002 ◽  
pp. 125-137 ◽  
Author(s):  
Carlotta Domeniconi ◽  
Chang-shing Perng ◽  
Ricardo Vilalta ◽  
Sheng Ma
Keyword(s):  
Classification Approach ◽  
Temporal Sequences

scholarly journals Clustering Ontology-Based Metadata in the Semantic Web

2002 ◽  
pp. 348-360 ◽  
Author(s):  
Alexander Maedche ◽  
Valentin Zacharias
Keyword(s):  
Semantic Web

scholarly journals SVM Classification Using Sequences of Phonemes and Syllables

2002 ◽  
pp. 373-384 ◽  
Author(s):  
Gerhard Paaß ◽  
Edda Leopold ◽  
Martha Larson ◽  
Jörg Kindermann ◽  
Stefan Eickeler
Keyword(s):  
Svm Classification

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

2002 ◽  
pp. 112-124 ◽  
Author(s):  
Chris Ding ◽  
Xiaofeng He ◽  
Hongyuan Zha ◽  
Horst Simon
Keyword(s):  
Unsupervised Learning ◽  
Principal Component ◽  
Self Aggregation
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