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.
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