Anna University Tiruchirappalli - 620 024
Regulations 2007 Sylllabus
M.E. COMPUTER SCIENCE AND ENGINEERING
ELECTIVES CS5014 – DATA WAREHOUSING AND DATA MINING
UNIT I FUNDAMENTALS 9
Relation to Statistics – Databases – Data Mining Functionalities – Steps in Data Mining Process – Architecture of a Typical Data Mining Systems – Classification of Data Mining Systems – Overview of Data Mining Techniques.
UNIT II DATA PREPROCESSING AND ASSOCIATION RULES 9
Data Preprocessing – Data Cleaning – Integration – Transformation – Reduction – Discretization Concept Hierarchies – Concept Description Data Generalization and Summarization Based Characterization – Mining Association Rules in Large Databases.
UNIT III PREDICTIVE MODELING 9
Classification and Prediction Issues Regarding Classification and Prediction – Classification by
Decision Tree Induction – Bayesian Classification – Other Classification Methods – Prediction –
Clusters Analysis – Types of Data in Cluster Analysis – Categorization of Major Clustering Methods – Partitioning Methods – Hierarchical Methods.
UNIT IV DATA WAREHOUSING 9
Data Warehousing Components – Multi Dimensional Data Model – Data Warehouse Architecture – Data Warehouse Implementation – Mapping the Data Warehouse to Multiprocessor Architecture – OLAP – Need – Categorization of OLAP Tools.
UNIT V APPLICATIONS 9
Applications of Data Mining – Social Impacts of Data Mining – Tools – An Introduction to DB Miner – Case studies – Mining WWW – Mining Text Databases – Mining Spatial Databases.
Total: 45
TEXT BOOK
1. Jiawei Han, Micheline Kamber, "Data Mining Concepts and Techniques", Morgan
Kaufmann Publishers, 2002.
REFERENCES
1. Alex Berson, Stephen J Smith, “Data Warehousing, Data Mining & OLAP”, Tata Mcgraw
Hill, 2004.
2. Usama M. Fayyad, Gregory Piatetsky , Shapiro, Padhrai Smyth and Ramasamy Uthurusamy,
"Advances In Knowledge Discovery And Data Mining", The M.I.T Press, 1996.
3. Ralph Kimball, "The Data Warehouse Life Cycle Toolkit", John Wiley & Sons Inc., 1998.
4. Sean Kelly, "Data Warehousing In Action", John Wiley & Sons Inc., 1997.
Regulations 2007 Sylllabus
M.E. COMPUTER SCIENCE AND ENGINEERING
ELECTIVES CS5014 – DATA WAREHOUSING AND DATA MINING
UNIT I FUNDAMENTALS 9
Relation to Statistics – Databases – Data Mining Functionalities – Steps in Data Mining Process – Architecture of a Typical Data Mining Systems – Classification of Data Mining Systems – Overview of Data Mining Techniques.
UNIT II DATA PREPROCESSING AND ASSOCIATION RULES 9
Data Preprocessing – Data Cleaning – Integration – Transformation – Reduction – Discretization Concept Hierarchies – Concept Description Data Generalization and Summarization Based Characterization – Mining Association Rules in Large Databases.
UNIT III PREDICTIVE MODELING 9
Classification and Prediction Issues Regarding Classification and Prediction – Classification by
Decision Tree Induction – Bayesian Classification – Other Classification Methods – Prediction –
Clusters Analysis – Types of Data in Cluster Analysis – Categorization of Major Clustering Methods – Partitioning Methods – Hierarchical Methods.
UNIT IV DATA WAREHOUSING 9
Data Warehousing Components – Multi Dimensional Data Model – Data Warehouse Architecture – Data Warehouse Implementation – Mapping the Data Warehouse to Multiprocessor Architecture – OLAP – Need – Categorization of OLAP Tools.
UNIT V APPLICATIONS 9
Applications of Data Mining – Social Impacts of Data Mining – Tools – An Introduction to DB Miner – Case studies – Mining WWW – Mining Text Databases – Mining Spatial Databases.
Total: 45
TEXT BOOK
1. Jiawei Han, Micheline Kamber, "Data Mining Concepts and Techniques", Morgan
Kaufmann Publishers, 2002.
REFERENCES
1. Alex Berson, Stephen J Smith, “Data Warehousing, Data Mining & OLAP”, Tata Mcgraw
Hill, 2004.
2. Usama M. Fayyad, Gregory Piatetsky , Shapiro, Padhrai Smyth and Ramasamy Uthurusamy,
"Advances In Knowledge Discovery And Data Mining", The M.I.T Press, 1996.
3. Ralph Kimball, "The Data Warehouse Life Cycle Toolkit", John Wiley & Sons Inc., 1998.
4. Sean Kelly, "Data Warehousing In Action", John Wiley & Sons Inc., 1997.
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