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CALL FOR PAPERS


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CALL FOR PAPERS; INVITED, CONTRIBUTED, AND POSTER SESSIONS

C. WARREN NEEL CONFERENCE ON
STATISTICAL DATA MINING & KNOWLEDGE DISCOVERY

June 22-25 2002
Hyatt Regency
Knoxville, Tennessee, USA

http://stat.bus.utk.edu/conference/

Conference Chair and Host

Hamparsum Bozdogan Ph.D.
Toby & Brenda McKenzie Professor in
Business, in Information Complexity and
Model Selection
Department of Statistics
The University of Tennessee
Knoxville, TN 37996-0532, USA

bozdogan@utk.edu

Knoxville, TN 37996-0532, USA
Phone: +1 865 974 1635
Fax:     +1 865 974 2490

Conference Co-Chair

Halima Bensmail, Ph.D.
Assistant Professor
Department of Statistics
The University of Tennessee
Knoxville, TN 37996-0532, USA

Phone: +1 865 974 8325
Fax:    +1 865 974 2490

bensmail@utk.edu

Conference Coordinator

Derek M Norton
Department of Statistics
321 Stokely Management Ctr
The University of Tennessee
Knoxville, TN 37996-0532 USA
stat_dmconference2002@utk.edu

Phone: (865) 974-1646
Fax: (865) 974-2490

SCIENTIFIC PROGRAM

The concept of Statistical Data Mining and Knowledge Discovery has become a new wave of research activity in many cross-disciplinary fields including: computer science, statistical modeling, artificial intelligence, machine learning, business, financial engineering, and medicine, to mention a few.

The C. Warren Neel Conference on STATISTICAL DATA MINING & KNOWLEDGE DISCOVERY will be residential and take place in Hyatt Regency in Knoxville ten minutes from the main campus of the University of Tennessee on the foothills of the Great Smokey Mountains. It is the first such national and international conference on STATISTICAL DATA MINING which is aimed to bring cross-disciplinary researchers, practitioners, and students together all around the world.  

The primary focus of this conference will be to bring national and international experts and practitioners together to share and disseminate new research and developments covering the wide spectrum of areas with emphasis to real-world applications. These areas will include the following:
Intelligent Data Mining with Information Complexity, Statistical Modeling, and Genetic Algorithms
Mixed-Data Mining with Gifi System
Principals of Data Mining
Bayesian Data Mining in Marketing and Customer Satisfaction
Categorical Data Mining and Knowledge Discovery on the Web
Experimental Surveys on the Web
Knowledge Discovery in Medicine and Medical Data Bases
Computational Physics and Historical Artifacts
Default Risk Analysis and Credit Scoring
Econometrics and Forecasting
Finance and Financial Engineering
Data Mining in Manufacturing
Market Segmentation and Consumer Preferences
Data Mining Massive Data Sets
Data Mining with GMDH (Group Method of Data Handling)
Statistical Pattern Recognition and Self-Organizing Neural Nets,
Dealing with Databases, Data Warehouses, Scalability
Distributed Data Mining
High Dimensional Data and Computational Feasibility
High Performance Computing, Parallel Processing, and Software Tools in Data Mining
Information and Data Quality, Data Transformation and Cleaning
Knowledge Management Issues
Kohonen Self-Organizing Maps and Spatial Data Mining
Data Mining Tasks and Techniques,
The Role of Classification and Clustering Techniques in Data Mining
The Role of Genetic Algorithms in Data Mining
Understanding Search Engines and Text Mining
Visualization and Visual Data Mining
Web-Based Data Mining
Economy of E-Business and Taxation
Present and Future E-Business

In addition to the above Scientific Topics, we also encourage and urge all the participating
delegates to submit and present papers from the following application areas:
Web Data Mining
Financial, Accounting, and E-Business Data
E-business Developments Affecting Supply Chain Design & Management
Pharmaceutical/Medical/Health Industry
Genome Data Mining
Security, Privacy, and Intellectual Ownership
Intelligent Data Mining Algorithms and Software
Data Mining of Scanner Data
Architectural Support for Data Mining
Performance Comparison of Different Learning Algorithms

GENERAL INVITATION FOR CALL FOR PAPERS

We invite proposals and call for papers for Sessions in addition to the Conference Invited Sessions. Proposed Sessions should have at least three speakers including that of the Session Organizer.

Contributed and Poster Session papers are also encouraged from young researchers, international researchers, practitioners, and underrepresented groups, such as women and ethnic minorities and persons with disabilities and graduate students in one of the above topical areas to preserve the theme of the Conference.

Proposals for Sessions should have:
the title of the session
the names of the tentative speakers,
the titles of the papers.

All authors must submit their papers in an abstract form to be considered. Each submission must contain a short abstract of 300 words maximum, and up to 6 keywords. The abstract should be in plain text and include the title, list of authors (names, affiliations, postal and e-mail addresses, and a fax number of the corresponding author) under the title of the paper to be presented. Electronic submissions are strongly encouraged in the form of Postscript, Microsoft Word, PDF, or LaTeX files.

Abstract should be sent via e-mail to: bozdogan@utk.edu , bensmail@utk.edu , and stat_dmconference2002@utk.edu between now and no later than March 20, 2002. All abstracts and proposals  will be carefully screened and evaluated by the Conference Program Committee. Notifications to authors in terms of accepting and/or rejecting the proposals and abstracts will be carried out in a timely fashion.
Electronic Full Paper Submission
Authors of all accepted abstracts should send 15-20 pages full paper along with an electronic copy by May 1, 2002. Details for electronic paper preparation will be posted on the Conference web site as details become available. Conference Proceedings is planned to be published as a book by a prestigious publisher. Guidelines for authors to prepare their manuscripts will be provided on the Conference web site (http://stat.bus.utk.edu/conference/) for downloading.

All invited, contributed, and poster session papers will be evaluated, refereed and considered for publication. Rigorous review process and uniformity of contributions will be followed throughout.

IMPORTANT DATES

February 28, 2002Submission of proposed invited and contributed sessions
March 15, 2002Decision by the Conference Committee & Author Notification
March 20, 2002Abstract submission for contributed and poster sessions
March 30, 2002Acceptance Notices for all abstracts
May 1, 2002Draft copies all accepted abstract papers.
        

SPECIAL CONFERENCE WORKSHOP

There will be a Special Workshop on Data Mining to be delivered by Elder Research Inc.,

http://www.datamininglab.com

a prominent and experienced Data Mining Group. A discounted fee will be in addition to the conference registration.

TENTATIVE LIST OF INVITED SPEAKERS; AND INVITED SESSION CHAIR ORGANIZERS

A preliminary list of invited topics will include the following areas:
Intelligent Data Mining with Information Complexity, Statistical Modeling, and Genetic Algorithms

Hamparsum Bozdogan: bozdogan@utk.edu
 
The Role of Bayesian and Frequentist Multivariate Modeling In Statistical Data Mining

Jim Press: jpress@ucrac1.ucr.edu
Data Mining Tools Workshop and Tutorial (on fee basis for the participants)

John F. Elder IV: elder@datamininglab.com
Mixed-Data Mining with Gifi System

Halima Bensmail: bensmail@utk.edu
Jacqueline Meulman: meulman@fsw.leidenuniv.nl
Principals of Data Mining; Data Mining Tasks and Techniques

David J. Hand: d.j.hand@ic.ac.uk

High Dimensional Data and Computational Feasibility

Edward J. Wegman: ewegman@gmu.edu
High Performance Computing, Parallel Processing, and Software Tools in Data Mining

Jack Dongarra: dongarra@cs.utk.edu

Understanding Search Engines and Text Mining

Michael Berry: berry@cs.utk.edu
 

Data Mining Massive Data Sets

Daryl Pregibon: daryl@research.att.com
Dealing with Databases, Data Warehouses, Scalability, and On-line Analytical Processing (OLAP)

Usama Fayyad: Usama@digiMine.com
Frank Davis: FrankDavis@ln.utk.edu
Data Mining in Default Risk Analysis and Credit Scoring

Philippe Poulain: philippe.poulain@fortisbank.com
Krzysztof Jajuga: jajuga@manager.ae.wroc.pl
Knowledge Management Issues

Jack Harrison: harrison.jack@mail.navy.mil
Data Mining with Statistical Pattern Recognition and Self-Organizing Neural Nets

The Role of Genetic Algorithms in Data Mining

Michael Vose: vose@cs.utk.edu
Web-Based Data Mining

Wolfgang Gaul:  wolfgang.gaul@wiwi.uni-karlsruhe.de
Visualization and Visual Data Mining

Alfred Ultsch: ultsch@mathematik.uni-marburg.de
William Eddy: bill@stat.cmu.edu
      
Data Mining with GMDH (Group Method of Data Handling)

Alexey & Gregory Ivakhnenko: gai@gmdh.kiev.ua
Data Mining in Market Segmentation and Consumer Preferences

Michel Wedel: m.wedel@eco.rug.nl
Robert Woodruff: RobertWoodruff@ln.utk.edu
Bayesian Data Mining in Marketing and Customer Satisfaction

Frenkel ter Hofstede: hofstede@andrew.cmu.edu
Data Mining in Finance and Financial Engineering

 

Kohonen Self-Organizing Maps and Spatial Data Mining

Hans Bock: bock@stochastik.rwth-aachen.de
Data Mining in Econometrics and Forecasting

Peter Bearse: bearse@uncg.edu
Data Mining in Manufacturing

          Richard Weber: rweber@dii.uchile.cl
          Mary Leitneker: mleitnaker@utk.edu
Information and Data Quality, Data Transformation and Cleaning

Frank Guess: fguess@utk.edu
Economy of E-Business and Taxation

Matthew Murray: mmurray1@utk.edu
William Fox: billfox@utk.edu
Distributed Data Mining

Hairong Qi: hqi@utk.edu
Micah Beck: mbeck@cs.utk.edu
George Ostrouchov, ost@ornl.gov
Nagiza Samatova, samatovan@ornl.gov
Categorical Data Mining and Knowledge Discovery on the Web

Stephen Fienberg: fienberg@stat.cmu.edu
Data Mining and Experimental Surveys on the Web

Noburo Ohsumi: ohsumi@ism.ac.jp
Osamu Yoshimura: osamu@cc.okayama-u.ac.jp
The Role of Minimum Message Length Technology in Data Mining with Applications in Finance and Pattern Recognition

Rohan Baxter:  Rohan.Baxter@cmis.CSIRO.AU
   
Data Mining in Computational Physics and Historical Artifacts

     Fionn Murtagh: fmurtagh@cdsxb6.u-strasbg.fr

          Bill Blass: wblass@utk.edu

 
REGISTRATION FEES

Participants are urged to register as soon as possible to ensure accommodations and to guarantee a place for participation in the Conference.
 
                        Regular Participants    Student*
Preregistration
(before/on May 15, 2002)
                                $350            $175*
Registration
(after May 15, 2002)
                                $450            $275*
Data Mining Workshop
(before/on May 15, 2002)        $200            $200
Data Mining Workshop
(after May 15, 2002             $300            $300


Please see the details in how to register and for other information at the Conference web site:
http://stat.bus.utk.edu/conference/


AUTOMOBILE TRAVELERS

For automobile travelers, Knoxville is located in the heart of the Tennessee Valley in the midst of one of the most scenic areas in the eastern United States: the Great Smoky Mountains lie to the southeast, the Cumberland Mountains to the northwest, and the TVA Great Lakes of the South in all directions. Knoxville is accessible by interstate highways I-81, I-40, and I-75 and is within 500 miles of 76 percent of America's population. A map is attached to this announcement.
 
FOR MORE INFORMATION, PLEASE CONTACT
 
Conference Coordinator

Derek M Norton
Department of Statistics
321 Stokely Management Ctr
The University of Tennessee
Knoxville, TN 37996-0532 USA
stat_dmconference2002@utk.edu

Phone: (865) 974-1646
Fax: (865) 974-2490

CONFERENCE WEB SITE

http://stat.bus.utk.edu/conference/

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