دانلود کتاب Foundations of Data Mining and Knowledge Discovery

فهرست مطالب :

Knowledge Discovery as Translation....Pages 1-19
Mathematical Foundation of Association Rules – Mining Associations by Solving Integral Linear Inequalities....Pages 21-42
Comparative Study of Sequential Pattern Mining Models....Pages 43-70
Designing Robust Regression Models....Pages 71-86
A Probabilistic Logic-based Framework for Characterizing Knowledge Discovery in Databases....Pages 87-100
A Careful Look at the Use of Statistical Methodology in Data Mining....Pages 101-117
Justification and Hypothesis Selection in Data Mining....Pages 119-130
On Statistical Independence in a Contingency Table....Pages 131-141
A Comparative Investigation on Model Selection in Binary Factor Analysis....Pages 143-160
Extraction of Generalized Rules with Automated Attribute Abstraction....Pages 161-170
Decision Making Based on Hybrid of Multi-Knowledge and Naïve Bayes Classifier....Pages 171-184
First-Order Logic Based Formalism for Temporal Data Mining * ....Pages 185-210
An Alternative Approach to Mining Association Rules....Pages 211-231
Direct Mining of Rules from Data with Missing Values....Pages 233-264
Cluster Identification Using Maximum Configuration Entropy....Pages 265-276
Mining Small Objects in Large Images Using Neural Networks....Pages 277-303
Improved Knowledge Mining with the Multimethod Approach....Pages 305-318
Posting Act Tagging Using Transformation-Based Learning....Pages 319-331
Identification of Critical Values in Latent Semantic Indexing....Pages 333-346
Reporting Data Mining Results in a Natural Language....Pages 347-361
An Algorithm to Calculate the Expected Value of an Ongoing User Session....Pages 363-375