KDnuggets : News : 2006 : n14 : item27 < PREVIOUS | NEXT >

Meetings

From: Carlos Soares
Date: 18 Jul 2006
Subject: KDD Workshop on Data Mining for Business Applications


To be held with KDD 2006:
ACM International Conference on Data Mining and Knowledge Discovery
Philadelphia, PA
August 20, 2006

http://labs.accenture.com/kdd2006_workshop/

Organizers:
Rayid Ghani, Accenture Technology Labs, rayid.ghani[at]accenture.com
Carlos Soares, University of Porto, csoares[at]liacc.up.pt

GOALS
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.

PROGRAM HIGHLIGHTS

The program will include the following panels:

  • Bridging the Gap between Data Mining Research and Practical Business Applications
  • Deploying Data Mining Solutions: Stories, Challenges, and Open Issues
The list of presentations includes researchers and practitioners from several universities and companies, including Accenture Techology Labs, KXEN, DaimlerChrysler, AT&T Labs and IBM Research. The presentations will address problems including business intelligence, CRM, fraud detection and churn detection, in applications areas such as telecom, marketing research, retail and finance.

KDnuggets : News : 2006 : n14 : item27 < PREVIOUS | NEXT >

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