2K6IT 705(A): DATA MINING AND DATA WAREHOUSING

Module I (12 hours)
Introduction to warehousing, Need for strategic information,evolution of decision support systems, dataware house environment, modelling a datawarehouse, granularity in the dataware house, dataware house lifecycle, building a datawarehouse, Online Analytical Processing.
Module II (12 hours)
Data Mining, demands, potential and major issues, classification of datamining techniques,discovery and analysis of patterns trends and deviations.Data Mining Primitives, Data Mining Query Languages, Designing Graphical User Interfaces Based on a Data Mining Query Language Architectures of Data Mining Systems.
Module III (12 hours)
DataMining models,Decision Trees,Genetic Algorithms,Neural networks,Back Propagation,data cleaning,enabling data mining through data warehouse.DataMining applications.
Module IV (12 hours)
Mining Complex Types of Data: Multidimensional Analysis and Descriptive Mining of Complex, Data Objects, Mining Spatial Databases, Mining Multimedia Databases, Mining Time-Series and Sequence Data, Mining Text Databases, Mining the World Wide Web.

Text books
1. Data Mining – Concepts and Techniques – JIAWEI HAN & MICHELINE KAMBER , Harcourt India.
2. Data ware housing in the realworld-Anahory and Murray,Addition Wesley
Reference books
1. Data Mining Introductory and advanced topics –MARGARET H DUNHAM, PEARSON EDUCATION
2. Data Mining Techniques – ARUN K PUJARI, University Press