Download UNIT - 01 Chapter I Introduction - Data mining

Vinayaka Missions University,Directorate of Distance Education
Salem India
MASTER OF COMPUTER APPLICATION
2 Yr.
MAJOR XII DATA MINING AND WAREHOUSING(2050246)
UNIT - 01
Chapter I
Introduction - Data mining - Data mining functionalities - kinds of patterns can be mined classification - major issues.
Chapter II
Data warehouse - A multidimensional data model - Data warehouse architecture - Data
warehouse implementation - From data warehouse to data mining.
UNIT - 02
Chapter III
Data pre-processing - Data cleaning - Data Integration and Transformation - Data Reduction Discretization and concept hierarchy generation.
Chapter IV
Data mining primitives - Data mining Task.
UNIT - 03
Chapter V
Association Rule Mining - Mining single dimensional Boolean association rules from transactional
databases.
Chapter VI
Classification and prediction - Issues regarding classification and prediction - Bayesian
classification- Classification by Back propagation - classification based on concepts from
association rule mining.
UNIT - 04
Chapter VII
Cluster Analysis - A categorization of Major clustering methods - Partitioning methodsHierarchical methods.
Chapter VIII
Grid based methods -Model based clustering methods - Density - Based methods - Grid based
methods.
UNIT - 05
Chapter IX
Mining spatial databases - Mining multimedia databases.
Chapter X
Mining time series and sequence data-Mining text databases-Mining the World Wide Web.
UNIT - 06
Chapter XI
Applications and Trends in Data Mining: Data mining applications - Data mining system products
and Research prototypes
Chapter XII
Additional themes on Data mining - Social Impacts of Data Mining - Trends in Data mining.
TEXT BOOK:
1.Jiwei Han, Michelien Kamber, Data Mining Concepts and Techniques, Morgan Kaufmann
Publishers an Imprint of Elsevier, 2001.
REFERENCE BOOKS:
1. Arun K.Pujari, Data Mining Techniques, Universities Press(India) Limited, 2001.
2. George M. Marakas, Modern Data warehousing, Mining and Visualization: Core Concepts,
Printice Hall, First Edition, 2002.
3. Pang-Ning Tan, Michael Steinbach, Vipin Kumar, Introduction to Data Mining, Pearson, 2008.
4. Soman K. P, Shyam Diwakar, V. Ajay, Data Mining, Printice Hall, 2008.