Tom Khabaza

Tom Khabaza is an independent consultant in predictive analytics and data mining, and the Founding Chairman of the Society of Data Miners. He is a data mining veteran of over 20 years and many industries and applications. He has helped to create the IBM SPSS Modeler (Clementine) data mining workbench and the industry standard CRISP-DM methodology, and led the first integrations of data mining and text mining. His recent thought leadership includes the 9 Laws of Data Mining.

Tom Khabaza has worked on the following Packt books:

Code Download and Errata
Packt Anytime, Anywhere
Register Books
Print Upgrades
eBook Downloads
Video Support
Contact Us
Awards Voting Nominations Previous Winners
Judges Open Source CMS Hall Of Fame CMS Most Promising Open Source Project Open Source E-Commerce Applications Open Source JavaScript Library Open Source Graphics Software
Resources
Open Source CMS Hall Of Fame CMS Most Promising Open Source Project Open Source E-Commerce Applications Open Source JavaScript Library Open Source Graphics Software