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Data Mining: Concepts and Techniques


Affiliations
1 Regional Engg. College, Trichy 15, India
2 Bharathidasan University, Trichy 24, India
     

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The World Wide Web as a Global Information System has flooded us with a tremendous amount of data and information. Our capabilities of generating and collecting data have been increasing rapidly every day, in this age of Information Technology. This explosive growth in stored data has generated an urgent need for new technologies and automated tools to assist us in transforming the data into useful information and knowledge. Data Mining, popularly known as Knowledge Discovery in databases is the automated or convenient extraction of patterns representing knowledge implicitly stored in large databases which solves the above problem. This article explains What is data mining? and Why is it important? Also it deals about the basic concepts of data mining, data cluster and data mining rules. How to choose a data mining system with some examples also have been discussed in this article.

Keywords

Data Mining, Knowledge Discovery, Concepts, Technique.
User
About The Authors

G. Thamaraiselvi
Regional Engg. College, Trichy 15
India

A. Kaliammal
Bharathidasan University, Trichy 24
India


Notifications

  • Han (J); Kamber (M). Data mining: concepts and techniques. 2001. Morgan Kaufmann Pub.
  • http://www.datamining.com
  • http://www.ncbi.nlm.nih.gov/tools
  • http://www.siam.org

Abstract Views: 1159

PDF Views: 8




  • Data Mining: Concepts and Techniques

Abstract Views: 1159  |  PDF Views: 8

Authors

G. Thamaraiselvi
Regional Engg. College, Trichy 15, India
A. Kaliammal
Bharathidasan University, Trichy 24, India

Abstract


The World Wide Web as a Global Information System has flooded us with a tremendous amount of data and information. Our capabilities of generating and collecting data have been increasing rapidly every day, in this age of Information Technology. This explosive growth in stored data has generated an urgent need for new technologies and automated tools to assist us in transforming the data into useful information and knowledge. Data Mining, popularly known as Knowledge Discovery in databases is the automated or convenient extraction of patterns representing knowledge implicitly stored in large databases which solves the above problem. This article explains What is data mining? and Why is it important? Also it deals about the basic concepts of data mining, data cluster and data mining rules. How to choose a data mining system with some examples also have been discussed in this article.

Keywords


Data Mining, Knowledge Discovery, Concepts, Technique.

References