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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.
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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Total Score: 106
Country: India
Subject: Uncategorized
Authors: Dr. Mitu Kumari (PhD/Dr. count: 1)
View Count (all-time): 130
Total Views (Real + Logic): 20792
Total Downloads (simulated): 10958
Publish Date: 1970 01, Thu
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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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