Friday, June 22, 2012
CS2032 DATA WAREHOUSING AND DATA MINING Syllabus - Anna University
CS2032 DATA WAREHOUSING AND DATA MINING L T P C
3 0 0 3
UNIT I
DATA WAREHOUSING
10
Data warehousing Components
–Building a Data warehouse –- Mapping the Data
Warehouse to a Multiprocessor Architecture – DBMS Schemas
for Decision Support –
Data Extraction, Cleanup, and Transformation Tools –Metadata.
UNIT II
BUSINESS ANALYSIS
8
Reporting and Query tools and Applications – Tool Categories – The Need for Applications – Cognos Impromptu – Online Analytical Processing (OLAP) – Need – Multidimensional Data Model – OLAP Guidelines – Multidimensional versus Multirelational OLAP – Categories of Tools – OLAP Tools and the Internet.
UNIT III
DATA MINING
8
Introduction – Data – Types
of Data – Data Mining Functionalities – Interestingness of Patterns – Classification of Data Mining Systems – Data Mining Task
Primitives –
Integration of a Data Mining System with a Data
Warehouse – Issues –Data
Preprocessing.
,
UNIT IV ASSOCIATION RULE MINING AND CLASSIFICATION 11
Mining Frequent Patterns, Associations and Correlations – Mining Methods
– Mining
Various
Kinds of
Association Rules – Correlation
Analysis – Constraint Based
Association Mining – Classification and Prediction -
Basic Concepts - Decision Tree
Induction - Bayesian Classification – Rule Based Classification – Classification
by Backpropagation – Support
Vector
Machines – Associative Classification – Lazy Learners – Other
Classification Methods - Prediction
UNIT V CLUSTERING AND APPLICATIONS AND
TRENDS IN DATA MINING 8
Cluster
Analysis -
Types
of Data – Categorization of Major
Clustering Methods -
K- means – Partitioning Methods – Hierarchical Methods - Density-Based Methods –Grid
Based Methods – Model-Based Clustering Methods – Clustering High Dimensional Data
- Constraint – Based Cluster Analysis – Outlier Analysis – Data Mining Applications.
TOTAL: 45 PERIODS
TEXT BOOKS:
1. Alex Berson and Stephen J. Smith, “ Data Warehousing, Data Mining & OLAP”, Tata
McGraw – Hill Edition, Tenth Reprint 2007.
2. Jiawei Han and Micheline Kamber, “Data Mining Concepts and Techniques”, Second
Edition, Elsevier, 2007.
REFERENCES:
1. Pang-Ning Tan, Michael Steinbach and Vipin Kumar, “ Introduction To Data Mining”, Person Education, 2007.
2. K.P. Soman, Shyam Diwakar and V. Ajay “, Insight into Data mining Theory and
Practice”, Easter
Economy Edition, Prentice Hall of India, 2006.
3. G. K. Gupta, “ Introduction to Data Mining with Case Studies”, Easter Economy
Edition, Prentice Hall
of India, 2006.
4. Daniel T.Larose, “Data Mining Methods and Models”, Wile-Interscience, 2006.
By Vinoth
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1 Responses to “CS2032 DATA WAREHOUSING AND DATA MINING Syllabus - Anna University”
July 5, 2012 at 1:09 PM
i want notes for this subject..........
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