Most downloaded documents in data mining
Detailed informtion about UNIT I: Data Preprocessing, Concept Hierarchy Generation, Automatic Concept Hierarchy Generation, Concept Hierarchy Generation for Categorical Data, Segmentation by Natural Partitioning, Entropy-Based Discretization.
Detailed informtion about Cluster Analysis, What is Cluster Analysis?, Types of Data in Cluster Analysis, Partitioning Methods, Hierarchical Methods, Density-Based Methods.
Detail Summery about Characterization and Comparison, What is concept description? , Discussion, Summary, Mining descriptive statistical measures in large databases, Analytical characterization: Analysis of attribute relevance.
Summary about Data Warehousing and OLAP Technology, What is a data warehouse? , A multi-dimensional data model, Data warehouse architecture, Data warehouse implementation, From data warehousing to data mining.
Summary about Classification and Prediction, Bayesian Theorem: Basics, Bayesian Theorem, Towards Naïve Bayesian Classifier, Naïve Bayesian Classifier: Training Dataset, Avoiding the 0-Probability Problem.