Date: Mon, 12 Apr 1999 11:47:54 -0400 From: Kulesher, Sue , Sue@amstat.org Subject: Elder to teach Data Mining, San Diego, June 24-25, 1999The first offering of this ASA LearnSTAT course, Tools for Discovering Patterns in Data: A Survey of Modern Data Mining Algorithms, was a strong success. Previous participants said: "[Dr. Elder] provided examples shedding light on complex concepts...He gave the big picture all along the way." "Gave real practical insights from a practitioner's point of view." "Finally someone told me how things are done, not just how great Data Mining is." "Most valuable, were the insights into the essence of various methods, their relative strengths and weaknesses, and the important open research areas." "Very interesting, knowledgeable, and entertaining approach." Now, this popular course has been expanded to two days and is offered on the west coast. Those who work with data and wish to understand recent developments in pattern discovery, data mining, and inductive modeling will want to attend Thursday, June 24 and Friday, June 25, 1999 at Point Loma Nazarene University in San Diego, California. Key inner workings of data mining algorithms will be described, along with the leading commercial and academic tools implementing them. Few equations, but many concepts from interconnected disciplines, will be covered. Those with computing and applied statistical experience will get the most out of this intensive overview and it helps, as well, to have a motivating application you want to solve. At the conclusion of this course, participants should be able to discern the basic strengths of competing methods and select the appropriate tools for their applications. John Elder is chief scientist of Elder Research ( www.datamininglab.com ), a data mining consulting firm in Charlottesville, Virginia. For 15 years he has developed and applied adaptive, data-driven techniques to practical problems at an engineering consulting firm, for an investment management company, at Rice University and the University of Virginia. Dr. Elder has written and spoken widely on pattern discovery topics, is active on statistical and engineering journals and boards and has authored some influential data mining tools. His practical experience with commercial applications---including credit scoring, direct marketing, sales forecasting, market timing, and fraud detection---help him to illustrate the course concepts. For registration information see the ASA website, www.amstat.org/education; contact sue@amstat.org; or consult the ASA FAX-On-Demand at 1-888-AMSTAT-5 / 1-888-267-8285.
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