Classification Rules and Genetic Algorithm in Data Mining

Classification Rules and Genetic Algorithm in Data Mining

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Mr. Puneet Chadha

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Panjab University

Classification Rules and Genetic Algorithm in Data Mining

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Abstract

Databases today are ranging in size into the Tera Bytes. It is an information extraction activity whose goal is to discover hidden facts contained in databases. Typical applications include market segmentation, customer profiling, fraud detection, evaluation of retail promotions, and credit risk analysis. Major Data Mining Tasks and processes include

References

8 Cites in Article

Reference Format

Gregory Piatetsky (2007). Data mining and knowledge discovery 1996 to 2005: overcoming the hype and moving from "university" to "business" and "analytics.
Hans-Peter Kriegel,Karsten Borgwardt,Peer Kröger,Alexey Pryakhin,Matthias Schubert,Arthur Zimek (2007). Future trends in data mining.
Qi Luo (2008). Advancing Knowledge Discovery and Data Mining" Knowledge Discovery and Data Mining.
Gary Weiss,Bianca Zadrozny,Saar-Tsechansky (2008). Guest editorial: special issue on utility-based data mining.
Ben Weber,Michael Mateas (2009). A data mining approach to strategy prediction.
Sufal Das,Banani Saha (2009). Data Quality Mining using Genetic Algorithm.
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Murat Kantarcıoğlu,Bowei Xi,Chris Clifton (2011). Classifier evaluation and attribute selection against active adversaries.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Mr. Puneet Chadha. 2012. \u201cClassification Rules and Genetic Algorithm in Data Mining\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 12 (GJCST Volume 12 Issue C15): .

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GJCST Volume 12 Issue C15
Pg. 51- 54

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Submission ReceivedDecember 12, 2011
Peer Review Double Blind
Handling Editor
Accepted December 31, 2011
Published January 15, 2012

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v1.2

Issue date

December 11, 2012

Language

en

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Article Matrices

Total Score: 101

Country: India

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: Mr. Puneet Chadha (PhD/Dr. count: 0)

View Count (all-time): 257

Total Views (Real + Logic): 10321

Total Downloads (simulated): 2636

Publish Date: 2012 12, Tue

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Total Views: 10321

Total Downloads: 2636

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Published Article

Databases today are ranging in size into the Tera Bytes. It is an information extraction activity whose goal is to discover hidden facts contained in databases. Typical applications include market segmentation, customer profiling, fraud detection, evaluation of retail promotions, and credit risk analysis. Major Data Mining Tasks and processes include

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