DATA WAREHOUSING AND DATA MINING

Classification



Email ThisBlogThis!Share to XShare to FacebookShare to Pinterest
Home
View mobile version
Subscribe to: Posts (Atom)

Total Pageviews

Pages

  • Home
  • Introduction to Data Warehousing
  • Evolution of Data Warehousing
  • Data Warehousing concepts
  • Data Warehousing
  • Benefits of Data Warehousing
  • Comparison of OLTP and Data Warehousing
  • Problems of Data Warehousing.
  • Data Warehousing Architecture
  • Architecture
  • Operational Data and Datastore
  • Load Manager, Warehouse Manager, Query Manager
  • Detailed Data, Lightly and Highly summarized Data
  • Archive/Backup Data
  • Meta-Data
  • architecture model, 2-tier, 3-tier and 4-tier data...
  • End user Access tools
  • Data Warehousing Tools and Technology
  • Extraction
  • cleaning and Transformation tools
  • Data Warehouse DBMS
  • Data Warehouse Meta-Data
  • Data Warehouse Administration Tools
  • Data Warehouse Management Tools
  • operational vs. information Systems
  • OLAP & DSS support in data warehouse
  • Types of Data Warehouses & Data Warehouse Design
  • Data warehousing Design
  • Designing Data warehouse Database
  • Database Design Methodology for Data Warehouses
  • Data Warehousing design Using Oracle
  • Data Mining
  • Basic Data Mining tasks
  • Knowledge discovery in databases
  • Issues
  • OLTP System
  • Fuzzy sets
  • Fuzzy Logic
  • Information Retrieval
  • Dimensional modeling
  • OLAP
  • Web search engines
  • data mining techniques
  • Classification
  • Statistical based algorithms
  • Distance based algorithms
  • Clustering
  • Minimum Spanning Tree
  • K-means clustering
  • Nearest neighbor algorithm
  • Association Rules
  • Large items sets
  • Web Mining
Simple theme. Powered by Blogger.