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III B.E. (Computer Engg.) VI SEMESTER 6CP6.3 DATA MINING & WAREHOUSING |
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1. INTRODUCTION: Concept of Data Mining and Warehousing, Web Warehousing. Future Systems Profiles, Web Warehousing for Business. Application and Consumers. Introduction to Knowledge Management, Databases. Data Warehouses and Knowledge Bases. -
2. TRADITIONAL WAREHOUSING: Theory of Data Warehousing Barriers to Successful Data Warehousing, Really Bad Data Warehousing Approaches. Data Warehouse (Mart) Functional Model. Lasers of Warehouse Environment.
3. WEB-BASED QUERY AND REPORTING: Delivering Information over the Web. Query and Reporting Tools and Business Value. Architectural Approaches to Delivering Query Capabilities over the We Case study' approach. Due diligence in the development of solutions.
4. WEB BASED STATISTICAL ANALYSIS AND DATA MINING: Analytical Tools, Business value from Analytical Tools, Example of Analytical Tools in Action -Humble Spread sheet. Determining the Business value that Analytical Tools will deliver. Statistical Products overview -Statistical Analysis Applications -Correlation Analysis, Factor Analysis, Regression Analysis. Data Discovery Tools Overview, Data Discovery Application. Comparison of the Products Architectural Approaches for Statistical and Data Discovery Tools Intelligent Miner for Relationship Marketing Product.
5. SEARCH ENGINES AND FACILITIES: Search Engines and the Web. Search Engine Architecture, Variations in the way that Search Facilities Work, Variations in Indexing Schemes Example –Excalibur Retrieval ware Product (Product Organization, Search Templates, Query Building Approach), Search Approaches Index Building and Synchronization.
6. WEB COMPONENTS AND COMMUNICATIONS: Introduction to Web Architecture HTML as the Universeral Document Display language. Hypertext Paradigm, using HTML to Point to Text and Non- Text Objects (Picture, Sound), MIME Format Stateless Web Communication, Browser Server Communication Methods (GET, PUT,. POST, HEAD, DELETE Methods).
Recommended
Books:
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