Modified Tree Classification in Data Mining

Raj Kumar

Modified Tree Classification in Data Mining

Raj Kumar * §

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§ Jind Institue of Engineering & Technology

Modified Tree Classification in Data Mining

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References

5 Cites in Article

Reference Format

Nu Thair,Phyu Survey of Classification Techniques in Data Mining.
Piatetsky- Fayyad,Shapiro,Uthurusamy Smyth (1996). Advances in Knowledge Discovery and Data Mining.
Jaiwei Han,Micheline Kamber (2006). Data MiPressning Concepts and Techniques, 2nd Edition.
G Raidl (1999). The multiple container packing problem: A genetic approach with weighted coding.
Alex Fukunga (2008). A new grouping genetic algorithm for the Multiple Knapsack Problem.

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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

Raj Kumar. . "Modified Tree Classification in Data Mining". Global Journal of Computer Science and Technology GJCST Volume 12 (GJCST Volume 12 Issue 2).

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GJCST Volume 12 Issue 2

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Classification KDD knapsack Problem Modified Tree

Classification

GJCST Classification E.1

Submission ReceivedApril 6, 2012
Peer Review Double Blind
Handling Editor
Accepted May 2, 2012
Published May 15, 2012

Version of record

v1.2

Issue date

February 6, 2012

Language

English

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Article Matrices

Total Score: 148

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Raj Kumar, Dr. Anil Kumar Kapil, Anupam Bhatia (PhD/Dr. count: 1)

View Count (all-time): 299

Total Views (Real + Logic): 6759

Total Downloads (simulated): 290

Publish Date: 2012 05, Tue

Monthly Totals (Real + Logic):

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Total Views: 6.8K

Total Downloads: 290

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