Data Driven Data Mining to Domain Driven Data Mining

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Dr. Mitu Kumari
Dr. Mitu Kumari
α Kurukshetra University

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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
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  2. E Omiecinski (2003). Alternative interest measures for mining associations.
  3. C Pohle Integrating and updating domain knowledge with data mining.
  4. S Sharma,K Osei-Bryson (2009). Role of Human Intelligence in Domain Driven Data Mining In: Data Mining for Business Applications.
  5. (2009). Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining.
  6. J Han,M Kamber (2006). Data Mining: Concepts and Techniques.
  7. H Varian (1996). E' Mansfield Microeconomics. Theory and Applications. New York, Scranton, W.W. Norton & Company, Inc., 1970, XVI p. 478 p., $ 7.95..

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. 1970. \u201cData Driven Data Mining to Domain Driven Data Mining\u201d. Unknown Journal GJCST Volume 11 (GJCST Volume 11 Issue 23): .

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Issue Cover
GJCST Volume 11 Issue 23
Pg. 65- 68
Journal Specifications
Version of record

v1.2

Issue date

February 10, 2012

Language
en
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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.

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Data Driven Data Mining to Domain Driven Data Mining

Dr. Mitu Kumari
Dr. Mitu Kumari Kurukshetra University

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