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Call For
Papers |
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2007 ACM SIGKDD Workshop on Domain Driven Data Mining (DDDM 2007)
San Jose, California, USA, 12th August 2007
In conjunction with ACM SIGKDD International Conference on
Knowledge Discovery and Data Mining (KDD'07)
URL:
http://datamining.it.uts.edu.au/dddm
Paper Submission
Account:
kdd@it.uts.edu.au
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The "2007 ACM
SIGKDD Workshop on Domain Driven Data Mining (DDDM2007)" aims
to provide a premier forum for sharing
findings, knowledge, insight, experience
and lessons in tackling potential challenges
in discovering actionable knowledge
from complex domain problems, promoting interaction and filling
the gap betweenacademia and business, and driving a paradigm
shift from interesting hidden pattern
mining to actionable knowledge discovery in varying data mining
domains.
The workshop welcomes theoretical and applied disseminations that
make efforts
(1) to expose next-generation data mining methodology for
actionable knowledgediscovery, identifying how KDD techniques can
better contribute to critical domain
problems in theory and practice; (2) to uncover domain-driven
data mining techniques identifying how
KDD can better strengthen business intelligence in
complex enterprise applications; (3) to
disclose the applications of
domain-driven data mining identifying how KDD can be effectively
deployed into solving complex practical
problems; and (4) to identify challenges and
directions for future research and development
in the dialogue between academia and
business.
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Topics----- |
The SIGKDD
DDDM2007 Workshop solicits original theoretical and practical
research
on topics including, but not limited to, the following aspects:
* Domain-driven data mining methodology and project management
* Domain-driven KDD infrastructure and system support
* Knowledge actionability and actionable knowledge discovery
framework
* Involvement of human intelligence, domain intelligence, web
intelligence
* Mining in-depth patterns and deep data intelligence
* Intelligence meta-synthesis in KDD
* Human-centered mining and human-mining interaction
* Activity, impact, event, process and workflow mining
* Unbalanced, constraint, dynamic and stream mining
* Reliability, trust, privacy, utility, issues in data mining
* Enterprise-oriented, spatio-temporal, multiple source mining
* Ontology and knowledge engineering and management
* Computational performance and actionability enhancement
* Domain specific mining such as security mining, bioinformatic
mining, etc. |
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Submission Instructions------- |
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Interested
authors should submit their papers as an email attachment to the Co-Chair (kdd at it.uts.edu.au) of the ACM SIGKDD Workshop on
Domain
Driven Data Mining (DDDM 2007). Submissions should be prepared using the
standard
ACM format (http://www.acm.org/sigs/pubs/proceed/template.html) in MS Word
or PDF
format.Manuscripts must not exceed 10 pages, and present a cover page
which should include the paper title, author(s), authors' affiliations, e-mail addresses, contact numbers, postal address, and an abstract.
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Important
dates------- |
Submission of
Papers: Extended to
May 31, 2007
Notification: June 16, 2007
Camera Ready: June 21, 2007
Half-day Workshop Presentation: August 12, 2007 |
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Post-publication plans ------- |
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The workshop
proceeding will be made available in the workshop and online. Selected papers from the workshop will be invited for
consideration of publication in a special issue of a leading related journal and
as a book chapter by Springer (to be confirmed). Some of the selected
papers will be considered to be published in the Trends & Controversies
department in IEEE Intelligent Systems magazine (www.computer.org/intelligent).
Details of the special issue and book publication will be announced on the
workshop
websitelater.
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Organizing Committee------- |
General Chair
Philips Yu, IBM T.J. Watson Research Center, USA
Workshop Chairs
Chengqi Zhang, University of Technology, Sydney, Australia
Graham Williams, Australian Taxation Office, Australia
Longbing Cao, University of Technology, Sydney, Australia
Organizing Chair
Yanchang Zhao, University of Technology, Sydney, Australia
Webmaster
Chao Luo, University of Technology, Sydney, Australia |
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Contact----- |
For general
questions: Longbing Cao (lbcao@it.uts.edu.au)
For paper submission: Yanchang Zhao (yczhao@it.uts.edu.au)
For website: Chao Luo
(chaoluo@it.uts.edu.au) |
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