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Course Contents

Data Warehouse: (a) Data Model for Data Warehouses. (b) Implementing Data Warehouses: data extraction, cleansing, transformation and loading, data cube computation, materialized view selection, OLAP query processing. Data Mining: (a) Fundamentals: data mining process and system architecture, relationship with data warehouse and OLAP systems, data pre-processing. (b) Mining Techniques and Applications

Course Synopsis

The aim of the course is to provide a basic but comprehensive introduction to data warehousing and data mining. By the end of the course, students will be able to build models, choose algorithms, implement and evaluate them.

Course Learning Outcomes

• Understanding concepts of data warehouse and data mining • Learn the techniques and also to implement them

DataWarehousing and Data Mining

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Book Title : Article by Susan Gallas comparing Kimball and Inmon approaches for DW
Author : Susan Gallas
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Publisher :

Book Title : The Data Warehouse Lifecycle Toolkit - Expert methods for designing, developing, and deploying Data Warehouses
Author : Ralph Kimball, Laura Reeves, Margy Ross, Warren Thornthwaite
Edition :
Publisher :

Book Title : The OLAP Report
Author : www.olapreport.com
Edition :
Publisher :

Book Title : Microsoft Online resource:
Author : http://msdn.microsoft.com/library/default.asp?url=/library/en-us/olapdmad/aggettingstart_80xj.asp
Edition :
Publisher :

Book Title : SQL Server Tutorials
Author : www.microsoft.com
Edition :
Publisher :

Book Title : Microsoft SQL Server 2005 Analysis Services Step by Step
Author : Reed Jacobson
Edition :
Publisher : Microsoft Press

Book Title : DM Review
Author : www.dmreview.com
Edition :
Publisher :

Book Title : Building the Data Warehouse
Author : W.H. Inmon
Edition :
Publisher : John Wiley & Sons

Book Title : Data Mining: Concepts and Techniques
Author : Jiawei Han and Micheline Kamber
Edition : 2nd ed
Publisher : Morgan Kaufmann Publishers

Book Title : Introduction to Data Mining
Author : Pang-Ning Tan, Michael Steinbach, Vipin Kumar
Edition :
Publisher : Addison-Wesley

Book Title : The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Author : T. Hastie, R. Tibshirani, J. H. Friedman
Edition :
Publisher : Springer-Verlag

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