Data Driven Data Mining to Domain Driven Data Mining

Dr. Mitu Kumari

Data Driven Data Mining to Domain Driven Data Mining

Dr. Mitu Kumari * §

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§ Kurukshetra University

Data Driven Data Mining to Domain Driven Data Mining

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Abstract

In the preceding decade data mining has came into sight as one of the largely energetic areas in information technology. Traditional data mining is seriously dependent on data itself, and relies on data oriented methodologies. So, there is a universal necessity in bridging the space among academia and trade is to provide all-purpose domain-related matters in surrounding real-life applications. Domain-Driven Data Mining try to build up general principles, methodologies, and techniques for modelling and reconciling wide-ranging domain-related factors and synthesized ubiquitous intelligence adjacent problem domains with the data mining course of action, and discovering knowledge to hold up business decision-making.

References

7 Cites in Article

Reference Format

Jean-Francois Boulicaut,Baptiste Jeudy (2005). Constraint-Based Data Mining.
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C Pohle Integrating and updating domain knowledge with data mining.
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(2009). Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining.
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H Varian (1996). E' Mansfield Microeconomics. Theory and Applications. New York, Scranton, W.W. Norton & Company, Inc., 1970, XVI p. 478 p., $ 7.95..

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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

Dr. Mitu Kumari. . "Data Driven Data Mining to Domain Driven Data Mining". Global Journal of Computer Science and Technology GJCST Volume 11 (GJCST Volume 11 Issue 23).

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GJCST Volume 11 Issue 23

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Data mining Decision making Domain driven data mining

Classification

GJCST Classification H.2.8

Submission ReceivedNovember 17, 2011
Peer Review Double Blind
Handling Editor
Accepted December 13, 2011
Published December 23, 2011

Version of record

v1.2

Issue date

February 10, 2012

Language

English

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Article Matrices

Total Score: 146

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Dr. Mitu Kumari (PhD/Dr. count: 1)

View Count (all-time): 285

Total Views (Real + Logic): 5132

Total Downloads (simulated): 454

Publish Date: 2011 12, Fri

Monthly Totals (Real + Logic):

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Total Views: 5.1K

Total Downloads: 454

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