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Foundations and Advances in Data Mining [2005]
- 1
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The Mathematics of Learning: Dealing with Data <Superscript>*</Superscript>
- 21
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Logical Regression Analysis: From Mathematical Formulas to Linguistic Rules
- 63
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A Feature/Attribute Theory for Association Mining and Constructing the Complete Feature Set
- 79
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A New Theoretical Framework for K-Means-Type Clustering
- 97
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Clustering Via Decision Tree Construction
- 125
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Incremental Mining on Association Rules
- 163
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Mining Association Rules from Tabular Data Guided by Maximal Frequent Itemsets
- 183
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Sequential Pattern Mining by Pattern-Growth: Principles and Extensions<Superscript>*</Superscript>
- 221
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Web Page Classification<Superscript>*</Superscript>
- 275
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Web Mining – Concepts, Applications and Research Directions
- 309
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Privacy-Preserving Data Mining