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An Introduction to the WEKA Data Mining System

An Introduction to the WEKA data Mining SystemZdravko Markov Central Connecticut State Russell University of Mining "Drowning in data yet Starving for Knowledge" ??? "Computers have promised us a fountain of wisdom but delivered a flood of data "William J. Frawley, Gregory Piatetsky-Shapiro, and Christopher J. Matheus data Mining : "The non trivial extraction of implicit, previously unknown, and potentiallyuseful information from data "William J Frawley, Gregory Piatetsky-Shapiro and Christopher J Matheus data Mining finds valuable information hidden in large volumes of data . data Mining is the analysis of data and the use of software techniques for finding patterns and regularities in sets of data . data Mining is an interdisciplinary field involving: Databases Statistics Machine Learning High Performance Computing Visualization Mathematics KDnuggets: Polls: data Mining Tools You Used in 2005 (May 2005) PollData Mining /Analytic tools you used in 2005 [376 voters, 860 votes total] Enterprise-level: (US $10,000 and more)Fair Isaac, IBM, Insightful, KXEN, Oracle, SAS, and SPSS Department-level: (from $1,000 to $9,999)Angoss, CART/MARS/TreeNet/Random Forests, Equbits, GhostMiner, Gornik, Mineset, MATLAB, Megaputer, Microsoft SQL Server, Statsoft Statistica, ThinkAnalytics Personal-level: (from $1 to $999): Exc

• Data mining finds valuable information hidden in large volumes of data. • Data mining is the analysis of data and the use of software techniques for finding patterns and regularities in sets of data. • Data Mining is an interdisciplinary field involving: – Databases – Statistics – Machine Learning – High Performance Computing

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