Weka

An Introduction to the WEKA Data Mining System

Zdravko Markov Central Connecticut State University [e-mail] Ingrid Russell University of Hartford [e-mail]

Data 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 potentially useful 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 •

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Data Mining Software
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): Excel, See5 • Free: C4.5, R, Weka, Xelopes

Weka Data Mining Software
KDnuggets : News : 2005 : n13 : item2 SIGKDD Service Award is the highest service award in the field of data mining and knowledge discovery. It is is given to one individual or one group who has performed significant service to the data mining and knowledge discovery field, including professional volunteer services in disseminating technical information to the field, education, and research funding. The 2005 ACM SIGKDD Service Award is presented to