>
> (If you receive this e-mail more than once, please accept our apologies!!)
>
> 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
>
> [EMAIL PROTECTED]
>
> 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
>
> [EMAIL PROTECTED]
>
> Conference Coordinator
>
> Derek M Norton
> Department of Statistics
> 321 Stokely Management Ctr
> The University of Tennessee
> Knoxville, TN 37996-0532 USA
> [EMAIL PROTECTED]
>
> 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: [EMAIL PROTECTED] , [EMAIL PROTECTED]
> , and [EMAIL PROTECTED] 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: [EMAIL PROTECTED]
>
> * The Role of Bayesian and Frequentist Multivariate Modeling In
> Statistical Data Mining
> Jim Press: [EMAIL PROTECTED]
> * Data Mining Tools Workshop and Tutorial (on fee basis for the
> participants)
> John F. Elder IV: [EMAIL PROTECTED]
> * Mixed-Data Mining with Gifi System
> Halima Bensmail: [EMAIL PROTECTED]
> Jacqueline Meulman: [EMAIL PROTECTED]
> * Principals of Data Mining; Data Mining Tasks and Techniques
> David J. Hand: [EMAIL PROTECTED]
> * High Dimensional Data and Computational Feasibility
> Edward J. Wegman: [EMAIL PROTECTED]
> * High Performance Computing, Parallel Processing, and Software Tools
> in Data Mining
> Jack Dongarra: [EMAIL PROTECTED]
> * Understanding Search Engines and Text Mining
> Michael Berry: [EMAIL PROTECTED]
>
> * Data Mining Massive Data Sets
> Daryl Pregibon: [EMAIL PROTECTED]
> * Dealing with Databases, Data Warehouses, Scalability, and On-line
> Analytical Processing (OLAP)
> Usama Fayyad: [EMAIL PROTECTED]
> Frank Davis: [EMAIL PROTECTED]
> * Data Mining in Default Risk Analysis and Credit Scoring
> Philippe Poulain: [EMAIL PROTECTED]
> Krzysztof Jajuga: [EMAIL PROTECTED]
> * Knowledge Management Issues
> Jack Harrison: [EMAIL PROTECTED]
> * Data Mining with Statistical Pattern Recognition and Self-Organizing
> Neural Nets
> * The Role of Genetic Algorithms in Data Mining
> Michael Vose: [EMAIL PROTECTED]
> * Web-Based Data Mining
> Wolfgang Gaul: [EMAIL PROTECTED]
> * Visualization and Visual Data Mining
> Alfred Ultsch: [EMAIL PROTECTED]
> William Eddy: [EMAIL PROTECTED]
>
> * Data Mining with GMDH (Group Method of Data Handling)
> Alexey & Gregory Ivakhnenko: [EMAIL PROTECTED]
> * Data Mining in Market Segmentation and Consumer Preferences
> Michel Wedel: [EMAIL PROTECTED]
> Robert Woodruff: [EMAIL PROTECTED]
> * Bayesian Data Mining in Marketing and Customer Satisfaction
> Frenkel ter Hofstede: [EMAIL PROTECTED]
> * Data Mining in Finance and Financial Engineering
>
> * Kohonen Self-Organizing Maps and Spatial Data Mining
> Hans Bock: [EMAIL PROTECTED]
> * Data Mining in Econometrics and Forecasting
> Peter Bearse: [EMAIL PROTECTED]
> * Data Mining in Manufacturing
> Richard Weber: [EMAIL PROTECTED]
> Mary Leitneker: [EMAIL PROTECTED]
> * Information and Data Quality, Data Transformation and Cleaning
> Frank Guess: [EMAIL PROTECTED]
> * Economy of E-Business and Taxation
> Matthew Murray: [EMAIL PROTECTED]
> William Fox: [EMAIL PROTECTED]
> * Distributed Data Mining
> Hairong Qi: [EMAIL PROTECTED]
> Micah Beck: [EMAIL PROTECTED]
> George Ostrouchov, [EMAIL PROTECTED]
> Nagiza Samatova, [EMAIL PROTECTED]
> * Categorical Data Mining and Knowledge Discovery on the Web
> Stephen Fienberg: [EMAIL PROTECTED]
> * Data Mining and Experimental Surveys on the Web
> Noburo Ohsumi: [EMAIL PROTECTED]
> Osamu Yoshimura: [EMAIL PROTECTED]
> * The Role of Minimum Message Length Technology in Data Mining with
> Applications in Finance and Pattern Recognition
> Rohan Baxter: [EMAIL PROTECTED]
>
> * Data Mining in Computational Physics and Historical Artifacts
> Fionn Murtagh: [EMAIL PROTECTED]
> Bill Blass: [EMAIL PROTECTED]
>
> 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
> [EMAIL PROTECTED]
>
> Phone: (865) 974-1646
> Fax: (865) 974-2490
>
> CONFERENCE WEB SITE
>
> http://stat.bus.utk.edu/conference/
>
> If you would like your e-mail address removed from this distribution list,
> please respond to [EMAIL PROTECTED] and put remove in the
> subject heading.
>
> E-O-F
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