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Data mining

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Ujjwal Kumar
Ujjwal Kumar

This document provides an overview of data mining. It introduces data mining and its goals, which include prediction, identification, classification, and optimization. The typical architecture of a data mining system is explained, including its major components. Common data mining techniques like classification, clustering, and association are also outlined. Examples are provided to illustrate techniques. The document concludes by discussing advantages and uses of data mining along with some popular data mining tools.

Technologie
1  sur  21
WELCOME TO THE SEMINAR ON DATA MINING By Ujjwal Kumar MSC 635
Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Introduction ,[object Object],[object Object]
Why Data mining? ,[object Object],[object Object],[object Object],[object Object]
Goals of Data Mining ,[object Object],[object Object],[object Object],[object Object]
Architecture of Data Mining ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
User Interface Pattern Evolution Data Mining Engine Database or Data Warehouse Server Database Data Warehouse World Wide Web Other Info Repositories Knowledge Base Data cleaning, integration and selection
Data Mining – On what kind of data? ,[object Object],[object Object]
Data Mining – On what kind of data? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Mining techniques ,[object Object],[object Object],[object Object]
Classification ,[object Object],[object Object]
Clustering ,[object Object],[object Object],[object Object]
Clustering ,[object Object],[object Object],[object Object]
A 1% support means that 1% of all of the transactions under analysis showed that computer and software were purchased together. Association rules ,[object Object],[object Object],Where X is a variable representing a customer. A confidence, or certainty, of 50% means that if a customer buys a computer, there is a 50% chance that they will buy software as well.
Advantages of Data Mining ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Uses of Data Mining ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Uses of Data Mining ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Mining tools ,[object Object],[object Object],[object Object],[object Object],[object Object]
Conclusion ,[object Object],[object Object],[object Object]
References ,[object Object],[object Object],[object Object],[object Object],[object Object]
Thank You

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Data mining

  • 1. WELCOME TO THE SEMINAR ON DATA MINING By Ujjwal Kumar MSC 635
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  • 7. User Interface Pattern Evolution Data Mining Engine Database or Data Warehouse Server Database Data Warehouse World Wide Web Other Info Repositories Knowledge Base Data cleaning, integration and selection
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