#21 Advantages and Disadvantages of Data Mining #dwdm #datamining #datawarehousing

Data mining is the process of extracting interesting data from data warehouse and is used for bussiness and individual etc....

unit-1:
Data Warehousing and Business Analysis
unit-2:
Data Mining
unit-3:
Classification and Prediction
unit-4:
Cluster analysis
unit-5:
Mining Object, Spatial, Multimedia, Text and Web Data


unit-1:

Data Warehousing and Business Analysis: Data warehousing Components
–Building a Data warehouse
–Data Warehouse Architecture no
– DBMS Schemas for Decision Support
– Data Extraction, Cleanup, and Transformation Tools
–Metadata
– reporting
– Query tools and Applications
– Online Analytical Processing (OLAP)
– OLAP and Multidimensional Data Analysis.

unit-2:

Data mining:

-Data mining functionalities
-Data preprocessing
-Data cleaning
-Data integration and transformation
-Data Reduction
-Data discritization and concept hierarchy generation
-Architecture of a typical data mining system
-Classification of Data mining systems

Rule mining:

-Efficient and scalable Frequent Item set mining methods
-mining various kinds of Association rules
-Association mining to correlation Analysis
-Constraint,Based Association mining

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