FIRST FEDERAL DATA MINING SYMPOSIUM
=93TECHNICAL ADVANCES AND APPLICATIONS IN THE GOVERNMENT COMMUNITY=94
December 16-17, 1997, J.W. Marriott Hotel, Washington, D.C.
AFCEA and the participating commands proudly present the first Federal
Data Mining Symposium. The theme for Data Mining is =93Technical Advance=
s
and Applications in the Government Community,=94 emphasizing the need for
better and more automated methods of analysis. As the amount of data
being collected and stored increases dramatically, it becomes imperative
that we prepare for the future, not just within the Government Community
but also within any community wherein data mining preparation, will be
helpful with decision-making in the future.
This event is for YOU if you are: a data user, analyst, administrator,
manager, developer, researcher, theoretician, or vendor who works in any
aspect of data mining or is interested in finding solutions to your
technical needs.
THE SIX MAJOR GOALS OF THE SYMPOSIUM:
* Exchange information and ideas on the role of data mining.
* Present requirements and proposed solutions.
* Provide discussions on the broad range of applicable technologies.
* Provide policy guidance applicable to DoD and civil agency=20
information resource managers.
* Identify and encourage service-unique and government-wide=20
knowledge. =20
* Stress the importance of this technology!
Stay up to date, share with your peers and learn what works and what
doesn=92t...
Sessions will cover the following critical areas:
USER REQUIREMENTS FOR BETTER ANALYSIS METHODS: DATA MINING TECHNIQUES
What requirements do government analysts and decision-makers have for
data mining? What kinds of decisions need to be made, and what data
contain that information? What are the time requirements for pulling out
the information? What types of data must be analyzed? How much
security or privacy must be assured?
APPLICATIONS OR NEW TOOLS TO SOLVE THE ANALYSIS PROBLEM
What new techniques are being used to address users=92 problems? Is the
concentration on statistical, machine learning, or visualization
techniques? Or perhaps the application requires a combination of
several. These discussions will describe how data mining techniques
were employed in actual applications.
LESSONS LEARNED
The question on everyone=92s mind is, =93Does this stuff rally work? Is
there a payoff to be gained?=94 Hear what developers have learned from
building applications and applying the technology to solve user
requirements.
TOOLS AND TECHNOLOGY
There are many types of data mining techniques currently being
advertised. The employment of a technique is dependent on the type of
data, the type of information desired, and the structure of the data
being analyzed. What are the tools that are available? How successful
were they in addressing a need? How does one tool compare to another?=20
These discussions will contribute to an understanding of the different
types of tools that are available.
LEARN THE LATEST DEVELOPMENTS IN:
* User Requirements for Data Mining * Applications for Data Mining *
Data Mining from Multimedia Data: Text/Imagery/Geospatial * Lessons
Learned from Constructing Data Mining Systems * Solutions to Data
Mining Problems: Noisy Data/Uncertain Data/Incomplete Data/Dynamic
Data * Data Cleansing as part of the Data Mining Process *
Visualization as part of the Data Mining Process * Validation and
Verification of Discovered Knowledge * Security/Provacy Concerns and
Solutions * Employment of Discovered Knowledge in Decisio Support or
Other Systems
PROGRAM AT A GLANCE
Tuesday, December 16
-----------------------------
Registration & Continental Breakfast
7:30 - 8:30 AM
THEME ONE: =93Agency Perspectives on Data Mining and Data Warehousing=94
THEME TWO: =93Agency Perspectives Leading to User Requirements=94
Luncheon Address & Exhibits (included in the registration fee)
THEME THREE: =93Data Mining Solutions
SPECIAL PANEL SESSION - Reprise of TechNet =9197
Symposium Reception & Exhibits (included in the registration fee)
Wednesday, December 17
----------------------------------
Registration & Continental Breakfast
7:00 - 8:30 AM
THEME FOUR: =93Data Mining Applications=94
THEME FIVE: =93Technical Issues in Data Mining=94
Luncheon Address & Exhibits (included in the registration fee)
THEME SIX: =93Lessons Learned=94
SPECIAL PANEL SESSION - =93Data Mining and the Government - Are They Read=
y
for a Relationship?=94 Session Chairman: Dr. Larry Kerschberg, Professo=
r
of Information Sciences, George Mason University
*program subject to change
SPEAKERS:
KEYNOTE ADDRESS, December 16
Invited Speaker: Dr. Ruth David
Deputy Director for Science and Technologty
Central Intelligence Agency
LUNCHEON ADDRESS, December 17
Invited Speaker: GEN Dennis J. Reimer, USA
Chief of Staff
United States Army
Speakers to date... With more to come!
* Ms. Valerie Boykin, Project Director, Enterprise Data Warehouse, U.S.
Customs Service
* Dr. Inderpal Bhandari, President, Virtual Gold, Inc.
* Mr. Tej Anand, Director of Knowledge Discovery Solutions, NCR
Corporation, Human Interface Technology Center
* Mr. Mike Weiner, CEO, Manning & Napier Information Services
DATA MINING EXPOSITION:
See the latest tools available for data mining! Also, if your company
would like to join as an exhibitor, call Christine Downing at
(703)631-6200 or (800)336-4583 ext. 6200 for additional information.
THE DATA MINING FACILITY
J.W. MARRIOTT HOTEL
The J.W. Marriott Hotel in Washington D.C., is the complete meeting and
convention site for the first Federal Data Mining Symposium, offering
registration, conference, exhibit, dining space and sleeping
accommodations - just seconds apart. AFCEA has set aside a block of
rooms - register by November 25, 1997 and mention you are with AFCEA.
CALL (800)228-9290 OR (202)393-2000.
Three easy ways to register...
* MAIL WITH PAYMENT TO:
AFCEA Events Department, AFCEA International Headquarters
4400 Fair Lakes Court, Fairfax, Virginia 22033-3899
* FAX WITH CREDIT CARD INFORMATION TO: (703)631-6133
* REGISTER ON-LINE AT: http://www.afcea.org
Contact us for more information
Call: Michelle Japzon at (703)631-6126 or
(800)336-4583, ext. 6126
E-mail to: events@afcea.org
AFCEA supports the Americans with Disabilities Act of 1990. Attendees
with special needs should call (703)631-6126.
FIRST FEDERAL DATA MINING SYMPOSIUM REGISTRATION FORM:
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Rank/Honorific/Mr./Ms./Mrs. Service
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First Name MI Last Name
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Title/Position
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Company/Organization
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Division
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Suite/Mail Stop/Office Routing Symbol
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Street Address
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City State Country Zip
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Citizenship
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Telephone Fax
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E-mail address Social Security Nr.
Primary occupational classification: Which one of the below is your
primary occupation? Show number ___ Then check all that apply.
___ 20. Active Air Force
___ 21. Active Army
___ 22. Active Coast Guard
___ 23. Active Marine Corps
___ 24. Active Navy
___ 25. Business/Industry
___ 26. Consultant
___ 27. DOD Civilian Government Employee
___ 28. Educator/Academia
___ 29. Full-time Student
___ 30. Non-DOD Civil Government Employee
___ 31. State/Local Government Employee
___ 50. Other (Describe)
Areas of involvement: Which one below best describes your work? Show
number ___ Then check all that apply.
___ 20. Data Processing
___ 21. Engineering/R&D
___ 22. Information Systems/IRM
___ 23. Maintenance
___ 24. Management
___ 25. Operations
___ 26. Procurement/Text & Evaluation
___ 27. Production
___ 28. Sales/Marketing
___ 50. Other (Describe)
Application: Which one below best describes your specialty? Show number
___ Then check all others that apply.
___ 20. Avionics
___ 21. C3I
___ 22. C4I
___ 23. Command/Control
___ 24. Communications
___ 25. Computers
___ 26. Computers in Communications
___ 27. Electronic Warfare
___ 28. Electronics
___ 29. Emergency Management
___ 30. Information Management
___ 31. Intelligence
___ 32. Law Enforcement
___ 33. Public Safety
___ 34. Radar
___ 35. Satellites
___ 36. Systems Management
___ 50. Other (Describe)
Age: ___ Under 30 ___ 31-40 ___ 41-50 ___ over 50
___ Male ___ Female
DEADLINE FOR CANCELLATIONS WITH REFUND: NO LATER THAN DECEMBER 2, 1997
DATA MINING FEES
Registration fee includes two continental breakfasts, two luncheons, and
reception:
Early Bird Registration=09
by November 10, 1997 After November 11, 1997
___ AFCEA Member $350 ___ AFCEA Member $375
___ Non-Member $375 ___ Non-Member $400
___ Military/Government $175 ___ Military/Government $185
Must be completed to receive member discount:
___ I am an AFCEA member (#_______________________)
___ I would like to join AFCEA today to receive the member rate for
this conference; therefore, I have included the membership fee with my
registration.=20
* TO JOIN AFCEA and take advantage of member discounts, check below or
call (800) 336-4583, or (703) 631-6100. =20
___ 1-Year Membership Fee: $25
___ 3-Year Membership Fee: $60
___ Lifetime AFCEA Membership Fee: $350
PAYMENT AMOUNT: ___________________
___ Check (made out to AFCEA)
___ P.O.
___ Credit Card: ___ MasterCard ___ Visa ___ Diners Club =20
___ American Express
Card Number:=20
____________________________________________________________
Expiration Date:=20
__________________________________________________________
Name on Card:=20
___________________________________________________________
Signature:=20
_______________________________________________________________
* PAYMENT MUST ACCOMPANY REGISTRATION
TO REGISTER:
MAIL WITH PAYMENT TO:
AFCEA Events Department, AFCEA International Headquarters, 4400 Fair
Lakes Ct., Fairfax, Virginia 22033-3899
FAX WITH CREDIT CARD INFORMATION TO: (703) 631-6133
REGISTER ON-LINE AT: http://www.afcea.org
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