The course aims at imparting knowledge on the emerging trends in data warehousing and data mining, enabling students to understand and appreciate the importance of making meaningful use of large volume of data in decision-making process. Participants will also be provided with an exposure to commercially available data mining software.
Portion Content
Data Warehouse
· Introduction to Data Warehouse · Data Preprocessing · Data Warehousing Architecture · Multidimensional data model · OLAP Operations Portion-Assessment (out of 50): · Class Exercise (Group) (Total 2) – 20 · Group Presentation – 10 · Quiz (1) – 20 Suggested Books: · J. Hahn and Micheline Kamber - Data Mining: Concepts and Techniques (Morgan Kaufmann)
· R.Kimball - DataWarehouse Toolkit (J.Wiley) · O.P.Rud – Data Mining: Modeling Data for Marketing, Risk and CRM (Wiley) · A.K.Pujari -Data mining (University Press) Created By: Debasis Mohanty on 11/21/2011 at 12:03 PM Category: PGDM-II Doctype: Document