Call for papers [pdf, txt]
As
a basic tool for explanation, prediction and decision making, causal
inference has been utilized in almost all disciplines. Traditionally, causal
relationships are identified based on controlled experiments. However,
conducting such experiments is impossible in many cases due to cost or
ethical concerns. Therefore there has been an increasing interest in
discovering causal relationships from observational data only. Recently with
the rapid accumulation of huge volume of data, the field of causal discovery
is seeing exciting opportunities, as well as greater challenges.
This workshop is aimed at bringing together researchers and practitioners
with the interest in causal discovery, from data mining and other
disciplines, to communicate their new ideas, algorithms, and novel
applications of causal discovery methods.
The workshop especially welcomes contributions that link data mining
research with causal discovery, and solutions to causal discovery from large
scale data sets.
Topics of Interest
The
workshop invites submissions on all topics of causal discovery, including
but not limited to:
·
Causal structure
learning
·
Local casual structure discovery
·
Causal discovery from high-dimensional data
·
Efficient causal discovery methods
·
False discovery control in causal discovery
·
Integrating experimental
(interventional) and observational data for causal discovery
·
Real-world applications of causal discovery
·
Applications of data mining approaches to causal
discovery
·
Assessment of causal discovery methods
Key Dates
August 3, 2013
August 17, 2013:
Paper submission deadline
September 24, 2013: Notification of
acceptance/rejection
October 20, 2013: Camera-ready version due for accepted
papers
December 7, 2013: Workshop date
Paper Submission and Publications
Papers submitted to this workshop must not be under review or accepted for
publication elsewhere. All submitted papers will be reviewed and selected by
the program committee on the basis of originality, technical quality,
relevance to the workshop and presentation quality. Accepted papers will be
included in the ICDM 2013 Workshop Proceedings published by IEEE Computer
Society Press.
Papers must be limited to a maximum of 10 pages, and follow the IEEE ICDM
format requirement. For paper formatting instructions, please visit:
http://www.computer.org/portal/web/cscps/formatting
All papers should be submitted via the ICDM 2013 Workshop submission system. Detailed instructions and submission link are available at the website of CD 2013: http://4llab.net/workshops/CD2013/submission.html
Workshop Organizers:
Jiuyong Li, University of South Australia, Australia
Kun
Zhang, Max Planck Institute for Intelligent Systems, Germany
Jian Pei, Simon Fraser University, Canada
Lin
Liu, University of South Australia, Australia