Data Warehousing and Mining
Description
Fundamental concepts concepts and techniques of data warehousing and data mining concepts, principles, architecture, design, implementation, and application of data warehousing and data mining
Topics
Data warehousing and OLAP technology for data mining, data preprocessing, data mining primitives, languages and systems, descriptive data mining, both characterization and comparison, association analysis, classification and prediction, cluster analysis, mining complex types of data, and applications and trends in data mining
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