DS* CONFERENCES & SEMINARS
04.07.98

April 9, San Francisco
May 19, New York
May 20, Boston
June 1, Hartford
June 3, Atlanta
DATA MINING - EXTENDING THE VALUE OF YOUR ENTERPRISE DATA: A MAGNIFY-SPONSORED SERIES OF DATA MINING SEMINARS, FEATURING TOP ANALYSTS AS SPEAKERS
Contact: 888-336-4768
jkt@magnify.com
steve.friedberg@demgroup.com

Description: Analysts such as Meta Group;s Aaron Zornes, International Data Corporation's Henry Morris, Data Miners' Michael J.A. Berry and APower Solutions'Alan Parker will address the seminars. Seminar attendance is free. This executive-level, business-focused series will outline what companies need to know as they consider implementing data mining in their enterprises. Magnify's president, Robert Grossman, will also speak at the seminars. Grossman and the analysts will be available for interviews following their speeches.
Key topics include:

• How data mining works
  Executive overview of the data mining process
• Who benefits from data mining in your organization
• State of the current data mining market
  Success stories, misconceptions, myths
• Generating a return on investment
  Driving the benefits of data mining down to front-line operations
• The future of data mining
  Standards and portability

April 6-7, Toronto

      8-9, Chicago
      13-14, Minneapolis
      16-17, Atlanta
May   5-6, Boston
      7-8, New York
      11-12, Dallas
      14-15, Washington

SECOND GENERATION DATA WAREHOUSING / PRACTICAL DATA MINING SEMINAR TOUR
Contact: http://www.kivaproductions/seminars.com
1-800-989-8899

Description: Led by Bill Inmon, Michael J.A. Berry, and Gordon S. Linoff, this 2-day seminar is for managers, designers, developers, and data warehouse & mining professionals. Lectures by seminar leaders will be followed by discussions, with ample opportunity for questions and audience interaction.

April 7-9
GARTNER GROUP PREDICTS: THE IT MARKETPLACE
Location: San Diego, California
Contact: http://www.gartner.com

Description: 180 in-depth sessions to guide you through the next 5 years of the IT market.

April 19-22
WINDOWS NT DATABASE SUMMIT
Location: New Orleans, LA
Contact: http://www.dbsummit.com/nthome.htm
415-905-2267

April 20-21
NASA/GSFC DATA WAREHOUSING/MINING CONFERENCE
Location: Santa Barbara, California
Contact: http://www.rciltd.com

April 27-May 1
IT FORUM CONFERENCE & EXPOSITION
Location: San Francisco, California
Contact: http://www.itforum.com

April 28-30
DCI'S DATA WAREHOUSE WORLD
Locations: Orlando, Florida & San Francisco, California
Contact: http://www.dci.com

May 13-14
DATA MINING: PRINCIPLES AND PRACTICE
Location: Herndon, Virginia
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:

• Uncover valuable information buried in data.
• Learn what data has real meaning and what data simply takes up space (also known as "data prospecting")
• Examine which data mining methods and tools are most effective
• Avoid pitfalls in the analysis of results 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.

May 17-22
DW BEST PRACTICES
Location: Chicago, Illinois
Contact: http://www.dw-institute.com/events1.htm
301-947-3730

June 8-9
DCI'S MANAGING DATA WAREHOUSE PROJECTS SEMINAR
Location: Toronto, Canada
Contact: http://www.dci.com
978-470-3880

June 10-12
DCI'S DATA ANALYSIS AND MODELING FOR BUILDING THE DATA WAREHOUSE SEMINAR
Location: Toronto, Canada
Contact: http://www.dci.com
978-470-3880

June 22-23
DCI'S DEVELOPING THE BLUEPRINT FOR SUCCESSFUL DATA WAREHOUSES AND DATAMARTS SEMINAR
Location: Dallas, Texas
Contact: http://www.dci.com
978-470-3880

June 24-26, Dallas
DCI'S BUILDING DATA WAREHOUSES AND DATA MARTS TO DELIVER MEASURABLE BUSINESS BENEFITS SEMINAR
Contact: http://www.dci.com
978-470-3880

Sept. 23-26
PKDD'98 -- 2ND EUROPEAN SYMPOSIUM ON PRINCIPLES OF DATA MINING AND KNOWLEDGE DISCOVERY
Location: Nantes, France
Contact: http://www.sciences.univ-nantes.fr/pkdd98 Description: Data Mining and Knowledge Discovery in Databases (KDD) have emerged from a combination of many research areas: databases, statistics, machine learning, automated scientific discovery, inductive logic programming, artificial intelligence, visualization, decision science, and high performance computing.

While each of these areas can contribute in specific ways, KDD focuses on the value that is added by creative combination of the contributing areas. The goal of PKDD'98 is to provide a European-based forum for interaction among all theoreticians and practitioners interested in data mining. Interdisciplinary collaboration is one desired outcome, but the main long-term focus is on theoretical principles for the emerging discipline of KDD, especially on KDD-specific principles that go beyond each contributing area.

Both theoretical and applied submissions are sought. Reviewers will assess the contribution towards the principles of KDD, in addition to the usual requirements of relevance, novelty, clarity and significance. Applied papers should go beyond an individual application, presenting an explicit method that promises a degree of generality within one or more stages of the discovery process, such as preprocessing, mining, visualization, use of prior knowledge, knowledge refinement, and evaluation. Theoretical papers should demonstrate how the proposed theoretical contribution advances the discovery process.