Introduction, Operational Data Stores (ODS), Extraction TransformationLoading (ETL), Data Warehouses. Design Issues, Guidelines for DataWarehouse Implementation, Data Warehouse Metadata
Introduction, Characteristics ofOLAP systems, Multidimensional view and Data cube, Data CubeImplementations, Data Cube operations, Implementation of OLAP andoverview on OLAP Softwares.
Introduction, Challenges, Data Mining Tasks, Types of Data,Data Preprocessing, Measures of Similarity and Dissimilarity, Data MiningApplications
Frequent ItemsetGeneration, Rule Generation, Compact Representation of Frequent Itemsets,Alternative methods for generating Frequent Itemsets, FP Growth Algorithm,Evaluation of Association Patterns
Basics, General approach to solve classification problem,Decision Trees, Rule Based Classifiers, Nearest Neighbor Classifiers.
Bayesian Classifiers, Estimating Predictive accuracy ofclassification methods, Improving accuracy of clarification methods,Evaluation criteria for classification methods, Multiclass Problem.
Overview, Features of cluster analysis, Types ofData and Computing Distance, Types of Cluster Analysis Methods,Partitional Methods, Hierarchical Methods, Density Based Methods, Qualityand Validity of Cluster Analysis
Introduction, Web content mining, Text Mining, UnstructuredText, Text clustering, Mining Spatial and Temporal Databases.