IGI Global, 2008. - 380 pp.
Association rules
an online environment for mining association rules in
Multidimensional data
Current interestingness measures for association rules: what do they really measure?
Mining association rules from XML data
A lattice-based framework for interactively and incrementally mining web
Traversal patterns
Clustering and classification
Determination of optimal clusters using a genetic algorithm
K-means clustering adopting rbf-kernel
Advances in classification of sequence data
Using cryptography for privacy-preserving data mining
Domain driven and model free
Domain driven data mining
Model free data mining
Issues and applications
Minimizing the minus sides of mining data
Study of protein-protein interactions from multiple data sources
Data mining in the social sciences and iterative attribute elimination
A machine learning approach for one-stop learning
About the contributors