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RAYALASEEMA UNIVERSITY (UG)
SEMESTER VI
Data Mining and Warehousing
Study Notes and PPTS
Syllabus:
Unit-I:
Introduction to Data mining: fundamentals of data mining, data mining functionalities, data and attributes types, statistical description of data, Data pre-processing, data cleaning, data integration, data reduction data transformation and data discretization.
Unit-II:
Data Warehousing: basic concepts, data warehouse modelling data cube and OLAP, data warehouse design and implementation.
Unit-III:
Mining Frequent Patterns and Associations: basic methods, frequent item set mining methods any two algorithms, pattern evaluation methods.
Unit-IV:
Classification: basic concepts, decision tree induction, Bayes classification, any two advanced methods, model evaluation.
Unit-V:
Cluster Analysis: basic concepts, clustering structures, major clustering approaches, partitioning methods, hierarchical methods, density based methods, the expectation maximization method, cluster based outlier detection essential reading.
Download Links :
| Study Notes Download | : |
| PPTS Unit -I Download | : |
| PPTS Unit -II Download | : |
| PPTS Unit -III Download | : |
| Important Question Download | : |
RAYALASEEMA UNIVERSITY (UG)
SEMESTER VI
Data Mining and Warehousing
Study Notes and PPTS
Syllabus:
Unit-I:
Introduction to Data mining: fundamentals of data mining, data mining functionalities, data and attributes types, statistical description of data, Data pre-processing, data cleaning, data integration, data reduction data transformation and data discretization.
Unit-II:
Data Warehousing: basic concepts, data warehouse modelling data cube and OLAP, data warehouse design and implementation.
Unit-III:
Mining Frequent Patterns and Associations: basic methods, frequent item set mining methods any two algorithms, pattern evaluation methods.
Unit-IV:
Classification: basic concepts, decision tree induction, Bayes classification, any two advanced methods, model evaluation.
Unit-V:
Cluster Analysis: basic concepts, clustering structures, major clustering approaches, partitioning methods, hierarchical methods, density based methods, the expectation maximization method, cluster based outlier detection essential reading.
Download Links :
| Study Notes Download | : |
| PPTS Unit -I Download | : |
| PPTS Unit -II Download | : |
| PPTS Unit -III Download | : |
| Important Question Download | : |
