International Workshop on Cost Sensitive Data Mining,
In conjunction with IEEE ICDM 2012 in Brussels, December 10, 2012


Much of the early work on data mining concentrated on developing algorithms
that focused on classification accuracy. A more challenging and practical problem
is to devise algorithms that learn rules or associations that optimize income and take better
account of costs. Thus, for example, in marketing, we are interested
in identifying investments that produce greatest income given the cost of
marketing. In medical diagnosis we need to take account of the costs of
tests required in diagnosis, such as blood tests, x-rays and scans.

This workshop aims to bring together researchers and practitioners working on this important and
growing research area.

Topics of Interest

Cost-Sensitive associative rule mining, decision tree induction, and classification
Cost-Sensitive clustering
Active cost-sensitive learning
Budgeted learning
Use of uncertainty and fuzzy models for optimizing profit
Visualization of cost-sensitive rules
Model and taxonomies of time/cost and space/cost
Evaluative and comparative studies i.e. cost vs time vs. accuracy
Practical applications of cost-sensitive mining including medical diagnosis, finance, e-marketing, etc.

Key Dates:
August 10, 2012: Due date for full workshop papers
October 1, 2012: Notification of paper acceptance to authors
October 15, 2012: Camera-ready deadline for accepted papers
December 10, 2012: Workshop date

Paper Submission

Papers are limited to a maximum of *8* pages, and must follow the IEEE ICDM format requirement smade available at:
http://icdm2012.ua.ac.be/

Papers must be submitted via the IEEE ICDM Workshop CyberChair submission system
Organising Committee
Sunil Vadera (Chair), University of Salford, S.Vadera@salford.ac.uk
Mohammed Saraee(co-Chair), University of Salford, M.Saraee@salford.ac.uk
Susan Lomax, University of Salford, S.E.Lomax@edu.salford.ac.uk

Programme Committee:

Charles Elkan, University of California, San Diego
Wei Fan, IBM
John Keane, University of Manchester
Dragos Margineantu, Boeing Research & Technology
Farid Meziane, University of Salford
Goran Nenadic, University of Manchester
Victor Sheng, University of Central Arkansas
Kevin Small, University of Tufts? Oksana Yakhnenko from Google, USA
Shipneg Yu, Siemens Medical Solutions, USA