Guided by this methodology, we demonstrate some of our work in identifying useful correlations in real stock markets, for instance, discovering optimal trading rules from the existing rule classes, and mining trading rule-stock correlations in stock exchange data.
The results have attracted strong interest from both traders and researchers in stock markets. It has shown that the methodology is potential for guiding deep mining of patterns interesting to real business. Guest Access.
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Domain Driven Data Mining. June AI Magazine. Fayyad and P.
Domain-Driven Data Mining: Challenges and Prospects - IEEE Journals & Magazine
Smyth, Eds. Knowing what questions to ask is the starting point.
The level of questions and analysis required will surprise, but this level of details is essential. Home Self Assessment Toolkit Downloads Domain driven data mining Toolkit: best-practice templates, step-by-step work plans and maturity diagnostics Domain driven data mining Toolkit: best-practice templates, step-by-step work plans and maturity diagnostics MSRP:.
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Whom among your colleagues do you trust, and for what?