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D S * CONFERENCES & SEMINARS 10.28.97


Nov 3-4
DST'S DATA WAREHOUSING AND DSS/EIS CONFERENCE
Location: Boston, Massachusetts
Contact: http://www.dstcorp.com
conferences@dstcorp.com
800-288-5434

Description: "Transforming Business Information Into Competitive Advantage" will be the focus of the upcoming Data Warehousing and DSS/EIS Conference, November 3 & 4, 1997, at the Marriott Long Wharf in Boston, MA. Decision Support Technology (DST) of Wellesley, MA, is the conference sponsor. The conference will present the latest research and case studies on how leading organizations are utilizing information technology "to help develop and leverage corporate knowledge about their marketplaces, customers and organizational performance." In doing so, the conference will present a wide spectrum of experts and perspectives, including leading academic researchers, top IT industry analysts, business practitioners and major technology solution providers.
Headlining the conference are keynote speakers Peter Keen, author of The Process Edge and Shaping the Future: Business Design Through Information Technology; and Dr. Lynda Applegate, a noted Harvard Business School professor who will present "Harnessing the Power of Information to Create Business Value." Among the industries highlighted will be Telecommunications, Financial Services, Health Care, and Utilities. Industry perspectives will be offered by Gartner Group and IBM, while business cases will be presented from industry leaders such as American Electric Power, PacifiCare of AZ, Johns Hopkins Hospital, MCI, BankBoston, The Vanguard Group, and US West.

Nov 17-19
DATA WAREHOUSE MODELING: KEY TO DECISION SUPPORT SUCCESS Location: Orlando, Florida
Contact: http://www.barnettdata.com
301-762-1288

Dec 3-6
NET DATABASE SUMMIT
Location: San Diego, California
Contact: http://www.dbsummit.com
415-905-2267

Dec 9-11
DCI'S DATABASE & CLIENT SERVER WORLD
Location: Chicago, Illinois
Contact: http://www.DCI.com
800-DCI-EXPO

Dec 16-17
FIRST FEDERAL DATA MINING SYMPOSIUM
Location: Washington, D.C.
Contact: http://www.afcea.org
(703) 631-6126

Description: The Federal Data Mining Symposium will spotlight the technical advances in and applications of Data Mining in the government community. The need for better and more automated methods of analysis is particularly important as the amount of data being collected and stored increases dramatically. Analysts must be knowledgeable about new types of techniques, both statistical and artificial intelligence techniques, in order to better find patterns, correlations, trends, and summaries in the wealth of data.

The major goals of the Symposium are to exchange information and ideas on the role of data mining and present requirements and proposed solutions, provide discussions on the broad range of applicable technologies, provide policy guidance applicable to DoD and civil agency information resource managers, and identify and encourage service-unique and government-wide knowledge and use of the important technology.

The Federal Data Mining Symposium will focus on three overall areas:

Topics of interest include:

Data users, analysts, administrators, managers, developers, researchers, theoreticians, and vendors are cordially invited to attend and to submit papers for presentation at the Federal Data Mining Symposium. Papers will be selected based on relevance to the conference and technical quality. Selected papers will be presented at the conference and/or published in the proceedings. Exhibit Space Available! Call for Papers Due No Later Than - October 31, 1997

Jan 28-29, 1998
DATA MINING: PRINCIPLES AND PRACTICE
Location: Santa Clara, California
Contact: http://www.gordianknot.com
800-405-2114
agent@gordianknot.com

Those in attendance of this Gordian Institute short course will learn about different methods of modeling and how those models apply to real business problems. Those who desire to make data mining an integral part of their business process are target candidates. Attendees will learn to:

Gordian's "Data Mining: Principles and Practice" seminar focuses on actual use and implementation of data mining techniques in the real world. The instructor has been deeply involved with the development of data mining methods and the means of their use. Actual products will be reviewed, as will results drawn from real data mining applications.

Those who would like a hands-on perspective to the instructional sessions may attend an optional third day application workshop. The workshop will highlight superior performance as well as pitfalls resulting from various tools and techniques when applied to different types of data intensive problems. Objective evaluations of popular data mining products can save immeasurable time and effort in assessing and selecting which suite of tools will perform best for your application.

Feb 11-12, 1998
DATA MINING: PRINCIPLES AND PRACTICE
Location: Satellite, FL (near Orlando)
Contact: http://www.gordianknot.com
800-405-2114 agent@gordianknot.com

Those in attendance of this Gordian Institute short course will learn about different methods of modeling and how those models apply to real business problems. Those who desire to make data mining an integral part of their business process are target candidates. Attendees will learn to:

Gordian's "Data Mining: Principles and Practice" seminar focuses on actual use and implementation of data mining techniques in the real world. The instructor has been deeply involved with the development of data mining methods and the means of their use. Actual products will be reviewed, as will results drawn from real data mining applications.

Those who would like a hands-on perspective to the instructional sessions may attend an optional third day application workshop. The workshop will highlight superior performance as well as pitfalls resulting from various tools and techniques when applied to different types of data intensive problems. Objective evaluations of popular data mining products can save immeasurable time and effort in assessing and selecting which suite of tools will perform best for your application.

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