Workshop Description
Organizers
Program Committee


Call For Papers

 


KDD 2008 Workshop on

Data Mining for Business Applications

August 24, 2008
Las Vegas, NV

 

Submission deadline extended to May 26, 2008!!

Important Dates

Papers Due: May 26            
Notification: June 9           
Final Version Due:  June 16 
 

The 14th  ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-2008) will be held in Las Vegas on August 24-27, 2008.
 

Workshop Description                                                                          

Data Mining in various forms is becoming a major component of how businesses operate. Almost every business process today involves some form of data mining. Customer Relationship Management, Supply Chain Optimization, Demand Forecasting, Assortment Optimization, and Business Intelligence are just some examples of business functions that haven been impacted by data mining techniques.

Even though data mining has become critical to businesses, most of the academic research in data mining is conducted on mostly publicly available data sources. This is mainly due to two reasons: 1) the unavailability of large, new, and interesting sources of data to academic researchers. 2) limited access to domain experts who can provide a practical perspective on existing problems and provide a new set of research problems. Corporations are typically wary of releasing their internal data to academic and in most cases, there is limited interaction between industry practitioners and academic researchers working on related problems in similar domains.

The goals of this workshop are:

1. Bring together researchers (from both academia and industry) as well as practitioners from different fields to talk about their different perspectives and to share their latest problems and ideas.

2. Attract business professionals who have access to interesting sources of data and business problems but not the expertise in data mining to solve them effectively.

We would like to focus on the following topics in the workshop:

  • fielded applications of data mining
  • new classes of research problems motivated by real-world business problems.
  • data mining applications as components of business processes
  • how to sell data mining technology/projects inside your organization or to your customers
  • integration of data mining technologies with other kind of technologies
  • lessons learned from practical experiences

Submissions                                                                                 

Submissions should be sent by May 26, 2008, in electronic form as a PDF (or Word) file, to rayid.ghani@accenture.com..

Submitted papers will be reviewed by referees from the Program Committee. Accepted papers will be published in the Workshop proceedings.

Notification of acceptance and rejection will be sent by June 9, 2008.

Papers Due: May 26           
Notification: June 9           
Final Version Due:  June 16 
Workshop: August 24
 

Schedule                                                                                                 


Workshop Chairs                                                                                  

Rayid Ghani
Accenture Technology Labs, 161 N. Clark St., Chicago, IL 60601
rayid [DOT] ghani [AT] accenture [DOT] com

Carlos Soares
LIAAD-INESC Porto LA/Faculdade de Economia Universidade do Porto
csoares [AT] fep [DOT] up [DOT] pt

Francoise Soulie Fogelman
KXEN

Francoise [DOT] SoulieFogelman [AT] kxen [DOT] com

Katharina Probst
Accenture Technology Labs
katharina [DOT] a [DOT] probst [AT] accenture [DOT] com

Patrick Gallinari
University Pierre & Marie Curie
Patrick [DOT] Gallinari [AT] lip6 [DOT] fr

 

Program Committee                                                                               

Massih Amini, University of Paris 6
Chid Apte, IBM Research
Thierry Artières, University of Paris 6
Eric Auriol, Climpact
Bart Baesens, University Leuven
Stephen Bay, PricewaterhouseCoopers
Samy Bengio, Google
Younes Bennani, University of Paris 13
Clive Best, JRC European Commission
Leon Bottou, NEC
Paul Bradley, Apollo Data Technologies
Pavel Brazdil, University of Porto
Paula Brito, University of Porto
Doug Bryan, KXEN
Longbing Cao, University of Technology, Sydney
André Carvalho, University of São Paulo
Rob Cooley, KXEN
Christian Derquenne, EDF
Raul Domingos, VADIS
Nick Dumas Brown, Discover
Robert Engels, ESIS
John Elder, Elder Research
Steve Gallant, KXEN
Bin Gao, Microsoft Research
Catherine Garbay, University of Grenoble
Christophe Giraud-Carrier, Brigham Young University
Fernanda Gomes, BANIF
Grégory Grefenstette, CEA
Khosrow Hassibi, KXEN
Nitin Indurkhya, University of New South Wales
Alípio Jorge, University of Porto
Arno Knobbe, Kiminkii/University of Utrecht
Guimei Liu, National University of Singapore
Dragos Margineantu, Boeing Company
Gabor Melli, PredictionWorks
Dunja Mladenic, Josef Stefan Institute
Steve Moyle, Secerno
Reza Nakhaeizadeh, University of Karlsruhe
Jakub Piskorski, JRC European Commission
Lubos Popelínský, Masaryk University
Ruy Ramos, Instituto Nacional de Tecnologia da Informação
Ken Reed, Lower My Bills
Laura Squier, KXEN
Luís Torgo, University of Porto
Brigitte Trousse, INRIA - Sophia Antipolis
Peter van der Putten, Chordiant Software/Leiden University
Shengrui Wang, University of Sherbrooke
Damien Weldon, LoanPerformance
Dennis Wilkinson, HP Labs
Graham Williams, Australian Taxation Office/University of Camberra
Stefan Wrobel, Fraunhofer Institute
Liu Zehua, Circos.com
Min-Ling Zhang, Hohai University