Applications:Data Mining Summit to be Held in Washington, D.C.The Washington, D.C. area will be the site of the first Data Mining Summit, a conference where industry leaders present the latest in data mining trends and technology. Data Mining Summit will be hosted by SPSS Inc, a worldwide provider of predictive technology, in Reston, Va., June 3-4, 2002. The North American Data Mining Summit is geared to all levels of users from the novice to the most advanced, from analysts to chief executive officers, and will feature an array of speakers and workshops covering current and future applications and trends. The conference's four session tracks include data mining concepts and applications, increasing customer lifetime value, Web mining, and public sector data mining applications. Keynote speakers and presentations are:
Conference attendees are also invited to attend one of three optional post-conference training courses on June 5. The three courses are: "Planning Your Data Mining Strategy," "Building Your Analytical CRM Strategy," taught by Michael Berry, co-author of "Data Mining Techniques" and "Mastering Data Mining;" and -- being offered for the first time in North America -- the "Clementine Masterclass." The registration fee for the North American Data Mining Summit is $1,000 for conference only or $1,499 to sign up for conference and post-conference training, if registered before March 29; and $1,200 for conference or $1,699 for conference and post-conference training, after March 29. All conference sessions, meals and social events are included in the conference price. To register or for more details visit the SPSS Data Mining Summit Web site at www.dataminingsummit.com, email: dataminingsummit@spss.com or phone: 800-533-2517. About SPSS IncSPSS Inc headquartered in Chicago, IL, USA, is a multinational computer software company providing technology that transforms data into insight through the use of predictive analytics and other data mining techniques. The company's solutions and products enable organizations to manage the future by learning from the past, understanding the present, as well as predicting potential problems and opportunities. For more information, visit www.spss.com. Contact SPSS Inc, MaryEllen Hartigan, 800-525-4980, pr@spss.com. |