Subject Details
Dept     : IT
Sem      : 5
Regul    : 2019
Faculty : Prof.T. R. lekhaa
phone  : NIL
E-mail  : lekhaa86@gmail.com
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Lecture Notes

UNIT 1:
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Datawarehouse Components
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Building a DW
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Mapping the Data Warehouse to a Multiprocessor Architecture
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DBMS Schemas for Decision Support
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Data Extraction, Cleanup, and Transformation Tools
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Data Extraction, Cleanup, and Transformation Tools
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Metadata
UNIT 2:
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Reporting and Query tools and Applications
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Tool Categories
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Cognos Impromptu
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OLAP Guidelines
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Multidimensional Data Model
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Online Analytical Processing (OLAP)
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Categories of Tools
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OLAP Tools and the Internet
UNIT 3:
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Types of Data
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Introduction – Data
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Data Mining Functionalities
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Interestingness of Patterns
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Classification of Data Mining Systems
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Integration of a Data Mining System with a Data Warehouse
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Issues
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Data Preprocessing
UNIT 4:
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Constraint Based Association Mining
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Associations and Correlations
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Bayesian Classification
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Bayesian Classification
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Classification and Prediction
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Mining Methods – Mining various Kinds of Association Rules

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