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Knowledge base Systems 5.1 Integration of expert in database application & object database overview Data Warehousing
6.1 Introduction to Data warehousing, 6.2 Architecture 6.3 Dimensional data modeling- star, snowflake schemas, fact constellation 6.4 OLAP and data cubes Operations on cubes 6.5 Data preprocessing -need for preprocessing, data cleaning, data integration and transformation, data reduction
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Data Mining
7.1 Introduction to data mining 7.2 Introduction to machine learning, 7.3 Descriptive and predictive data mining, 6.4 outlier analysis, clustering – 7.5 k means algorithm, 7.6 Classification - decision tree, association rules - apriori algorithm, 7.7 Introduction to text rnh.mg, Bayesian classifiers.
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Information Retrieval & XML data
8.1 Introduction to information retrival 8.2 Indexing for Text search 8.3 Web search engines 8.4 Managing text in DBMS 8.5 Data model for XML 8.6 XML DTD's, 8.7 Domain specific DTD's 8.8 Querying XML data
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Reference Books
1. Database system concepts'*, 5th Edition –by Abraham Silberschatz, Henry Korth, S, Sudarshan, (McGraw Hill International ) 2. Data Mining: Concepts and systems'*, by Jiawei nan, Micheline Kamber, (Morgan Kaufmann publishers ) 3. Database systems : "Design implementation and management", by Rob Coronel, 4th Edition, (Thomson Learning Press) 4. Database Management Systems by Raghu Ramkrishnan, Johannes Gehrke Second Edition, (McGraw Hill International )
5. Database Management System by Alexis Leaon, Mathews Leon, (leon press) 6. Fundamentals of Database Systems by Remez Elmasri , Shamkant Navathe