Data Warehousing and Mining

Bootstrap Example

Chapters & topics
i) The Compelling need for Data Warehousing Data Warehouse Trends in Data Warehousing Architectural Components The significant role of Metadata
ii) Principles of Dimensional Modelling Dimensional Modelling Data Extraction, Transformation, and Loading
iii) Introduction to Data Mining Beginning with Weka and IRIS Dataset in R Classification
vi) Cluster Analysis Hierarchical Clustering Algorithms
v) Introduction to Association Rule Mining The Apriori Algorithm

Reference Book

Title	Author	PDF
The Data Warehouse Toolkit	Ralph Kimball Margy Ross	View
Encyclopedia of Data Warehousing and Mining	John Wang	View
Data Warehousing Fundamentals	Paulraj Ponniah	View
Data Mining and Data Warehousing	Prateek Bhatia	View