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SECTION - KDD-Data Mining

Knowledge Discovery in Database is next level of evolution beyond data query and analytics. It moves from 'what has happened'/'why it has happened' to 'what is likely to happen?'. In tradition analytics, you have to ask right questions to get the right answers. In KDD- Data Mining, it helps you to ask right questions. KDD-Data mining moves from 'retroactive' to 'pro-active'.

Chapters

KDD- Data Mining Overview   

Knowledge Discovery in Database is next level of evolution beyond data query and analytics. It moves from 'what has happened'/'why it has happened' to 'what is likely to happen?'. In tradition analytics, you have to ask right questions to get the right answers. In KDD- Data Mining, it helps you to ask right questions. KDD-Data mining moves from 'retroactive' to 'pro-active'.

Topics in this chapter :  What is KDD- Data Mining? →  Knowledge Discovery in Databases Program →  Knowledge Discovery in Databases Process →  Data Mining Technology →  KDD- Data Mining Issues & Challenges →  Knowledge Discovery in Databases Methodology →  Data Mining Techniques- Propensity Modeling →  Data Mining Techniques- Predictive Modeling → 

 
All Sections in " Intelligent Enterprise ."
 BI End-to-End →  Data Quality →  Data-Warehouse/Mart →  Data Analysis/OLAP →  Metadata Management →  Master Data Management →  KDD-Data Mining → 
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KDD-Data Mining