Data Warehousing and Data Mining
Rs. 160.0000 10

Data Warehousing and Data Mining



  • Introduction
  • Data Mining and the Data Warehouse
  • Knowledge Discovery Process
  • Environment
  • Real life applications
  • Formal aspects of learning algorithm
  • Data Mining
  • Advanced Databases
  • Data Mining Functionalities, Classification and Case Study
  • Overview of Data Mining Techniques � I
  • Overview of Data Mining Techniques � II
  • Data Preprocessing
  • Association Rules
  • Concept Description : Generalization and Characterization
  • Mining Frequent Patterns, Association & Correlations
  • Classification
  • Classification and Prediction
  • Clustering
  • Cluster Analysis
  • Advanced Topics (Mining Complex types of data)
  • Applications and Trends in Data Mining
  • Data Warehousing
  • Data Warehousing Components
  • From Data Warehousing to Data Mining
  • Data Warehouse Architecture
  • Data Warehouse Implementation
  • Mapping the data warehouse to a multiprocessor architecture
  • Reporting and Query Tools and Applications
  • On-Line Analytical Processing (OLAP)
  • Security
  • Service Level Agreement (SLA)
  • Operating the data warehouse
  • Capacity Planning
  • Tuning and testing the data warehouse
  • Backup and Recovery of Data



By: P. Rizwan Ahmed
Condition NEW
Publication Margham Publication
Writer P. Rizwan Ahmed

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