Data Mining: Foundations and Practice (Studies in Computational Intelligence, 118)

Compact Representations of Sequential Classification Rules.- An Algorithm for Mining Weighted Dense Maximal 1-Complete Regions.- Mining Linguistic Trends from Time Series.- Latent Semantic Space for Web Clustering.- A Logical Framework for Template Creation and Information Extraction.- A Bipolar Interpretation of Fuzzy Decision Trees.- A Probability Theory Perspective on the Zadeh Fuzzy System.- Three Approaches to Missing Attribute Values: A Rough Set Perspective.- MLEM2 Rule Induction Algorithms: With and Without Merging Intervals.- Towards a Methodology for Data Mining Project Development: The Importance of Abstraction.- Fining Active Membership Functions in Fuzzy Data Mining.- A Compressed Vertical Binary Algorithm for Mining Frequent Patterns.- Naïve Rules Do Not Consider Underlying Causality.- Inexact Multiple-Grained Causal Complexes.- Does Relevance Matter to Data Mining Research?.- E-Action Rules.- Mining E-Action Rules, System DEAR.- Definability of Association Rules and Tables of Critical Frequencies.- Classes of Association Rules: An Overview.- Knowledge Extraction from Microarray Datasets Using Combined Multiple Models to Predict Leukemia Types.- On the Complexity of the Privacy Problem in Databases.- Ensembles of Least Squares Classifiers with Randomized Kernels.- On Pseudo-Statistical Independence in a Contingency Table.- Role of Sample Size and Determinants in Granularity of Contingency Matrix.- Generating Concept Hierarchies from User Queries.- Mining Efficiently Significant Classification Association Rules.- Data Preprocessing and Data Mining as Generalization.- Capturing Concepts and Detecting Concept-Drift from Potential Unbounded, Ever-Evolving and High-Dimensional Data Streams.- A Conceptual Framework of Data Mining.- How to Prevent Private Data from being Disclosed to a Malicious Attacker.- Privacy-Preserving Naive Bayesian Classification over Horizontally Partitioned Data.- Using Association Rules for Classification from Databases Having Class Label Ambiguities: A Belief Theoretic Method.