Courses

Advanced Technology Seminars: The Science of Data Mining
Techniques for deducing knowledge through examination of data
Presented by Dr. Naren Ramakrishnan,
	  (see http://internettic.rrtc.com/present/ramakrishnan.html) 
        Assistant Professor: Department of Computer Science, Virginia Tech.
        Member: Program Committee, SIAM Data Mining Conference 2001.

Seminar Overview
 This one-day seminar presents a comprehensive survey of the techniques and
 methodological issues underlying the extraction of valuable information
 (patterns) hidden in data. The specific emphasis will be on mining
 transactional data: representational issues, storage management, coupling
 algorithms to database systems, visualization, and interpretation.

 You will learn:
     What data mining can and cannot do
     To conduct exploratory analysis of given data sets
     To perform preliminary and 'birds eye-view' studies of archival data
	before proceeding with data mining
     What algorithms and techniques are suitable for the problem at hand
     To design and evaluate alternative implementations
     About the state-of-the-art in methodological issues and software systems

     About comparisons and contrasts between various commercial software
        products
     About typical scenarios, case studies and future issues

See Detailed Syllabus at http://internettic.rrtc.com/desc/dataminesyl.htm

      Arlington, VA.
      Thursday, November 9, 8:30 a.m. to 4:30 p.m.

      Richmond, VA.
      Thursday, October 19, 8:30 a.m. to 4:30 p.m.

      $495 per person
      20% off 2nd enrollment from the same organization

      Who should come?
      IT Supervisors/Managers, Software Engineers, Programmers, Data Analysts,
      Database Engineers, Statisticians, Consultants ... anyone who must deal
      with, collect, process, and catalog massive amounts of data - now or in
      the future.

      Register for this Seminar at
https://www.rrtc.com/Secure/itic/register.asp?SeminarID=3