An Introduction to Data Mining by Thearling K.

By Thearling K.

This white paper presents an advent to the fundamental applied sciences of information mining. Examples of ecocnomic functions illustrate its relevance to modern day company setting in addition to a easy description of ways facts warehouse architectures can evolve to bring the price of information mining to finish clients.

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83 Visualization Can Help Identify Data Problems 84 42 Visualization Can Provide Insight 85 Visualization can Show Relationships — NetMap — Correlations between items represented by links — Width of link indicated correlation weight — Originally used to fight organized crime 86 43 The Books of Edward Tufte — The Visual Display of Quantitative Information (1983) — Envisioning Information (1993) — Visual Explanations (1997) — Basic idea: How do you accurately present information to a viewer so that they understand what you are trying to say?

Unusual words) — Domain expertise — Linguistic analysis — Example: Cymfony BrandManager — Identify documents ? extract theme ? 5B in 2005 — Depends on what you call “data mining” — Less of a focus towards applications as initially thought — Instead, tool vendors slowly expanding capabilities — Standardization — XML > CWM, PMML, GEML, Clinical Trial Data Model, … — Web services? — Integration — Between applications — Between database & application 70 35 What is Currently Happening in the Marketplace?

Unusual words) — Domain expertise — Linguistic analysis — Example: Cymfony BrandManager — Identify documents ? extract theme ? 5B in 2005 — Depends on what you call “data mining” — Less of a focus towards applications as initially thought — Instead, tool vendors slowly expanding capabilities — Standardization — XML > CWM, PMML, GEML, Clinical Trial Data Model, … — Web services? — Integration — Between applications — Between database & application 70 35 What is Currently Happening in the Marketplace?

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