DMRadio: Best Practices for Data Mining, [recorded]
Much has changed with Big Data, but the basic principles of data mining remain constant. Join the expert panel of Dean Abbott, Kirk D. Borne, Jamie MacLennan, and Gregory Piatetsky-Shapiro as they discuss the best practices for data mining, whether data is Big or small.
Back to Basics:
Best Practices for Data Mining webinar
September 19, 2013, noon PT, 3 pm ET Recorded.
Data mining is everywhere these days - from the NSA to big box retailers, global financial institutions to mom-and-pop startups. And though much has changed in the last few years, especially the availability of Big Data sources, the basics of data mining remain fairly constant. There are several keys to success, including domain expertise, scientific rigor, knowledge of statistical techniques. And having good tools helps, too.
Join the expert panel of
- Dean Abbott, @deanabb, President of Abbott Analytics, Data Mining and Predictive Analytics Consultant, Chief Scientist at SmarterRemarketer.
- Kirk D. Borne, @KirkDBorne, Data Scientist, Astrophysicist, Professor of Astrophysics and Computational Science, Big Data Science Consultant, & Public Speaker, Top Big Data Influencer
- Jamie MacLennan, @PredixionSW, CTO Predixion Software.
- Gregory Piatetsky-Shapiro, @kdnuggets, KDnuggets Editor, Analytics, Big Data, Data Mining, and Data Science expert, KDD & SIGKDD co-founder, voted Top Big Data Tweeter