[Elsnet-list] cfp for The 2010 International Workshop on Domain Driven Data Mining, Sydney, Due July 23

xinhua zhu xhzhu at it.uts.edu.au
Sat May 15 04:31:54 CEST 2010


 *Call for Papers - DDDM2010
*
*The 2010 International Workshop on Domain Driven Data Mining

Sydney, Australia, December 13-17, 2010
In conjunction with the 2010 IEEE International Conference on Data Mining
(ICDM 2010)
URL: http://datamining.it.uts.edu.au/dddm/dddm10/*

The Workshop on Domain Driven Data Mining (DDDM) series 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
between academia and business, and driving a paradigm shift from
data-centered hidden pattern mining to domain-driven actionable knowledge
delivery in varying data mining domains toward supporting smart decision and
businesses.

Following the success of DDDM2009 joint with ICDM2009 in the US, DDDM2008
joint with ICDM2008 in the Italy, and DDDM2007 with SIGKDD, DDDM2010
welcomes theoretical and applied disseminations that make efforts:
o to design next-generation data mining methodology for actionable knowledge
discovery and delivery, toward handling critical issues for KDD to
effectively and efficiently contribute to real-world smart businesses and
smart decision and to benefit critical domain problems in theory and
practice;
o to devise domain-driven data mining techniques to bridge the gap between a
converted problem and its actual business problem, between academic
objectives and business goals, between technical significance and business
interest, and between identified patterns and business expected
deliverables, toward strengthening business intelligence in complex
enterprise applications;
o to present the applications of domain-driven data mining and demonstrate
how KDD can be effectively deployed to solve complex practical problems; and

o to identify challenges and future directions for data mining research and
development in the dialogue between academia and industry.

Topics of interest

This workshop solicits original theoretical and practical research on the
following topics.

(1) Methodologies and infrastructure
o Domain-driven data mining methodology and project management
o Domain-driven data mining framework, system support and infrastructure
(2) Ubiquitous intelligence
o Involvement and integration of human intelligence, domain intelligence,
network intelligence, organizational intelligence and social intelligence in
data mining
o Explicit, implicit, syntactic and semantic intelligence in data
o Qualitative and quantitative domain intelligence
o In-depth patterns and knowledge
o Human social intelligence and animat/agent-based social intelligence in
data mining
o Explicit/direct or implicit/indirect involvement of human intelligence
o Belief, intention, expectation, sentiment, opinion, inspiration,
brainstorm, retrospection, reasoning inputs in data mining
o Modeling human intelligence, user preference, dynamic supervision and
human-mining interaction
o Involving expert group, embodied cognition, collective intelligence and
Consensus construction in data mining
o Human-centered mining and human-mining interaction
o Formalization of domain knowledge, background and prior information, meta
knowledge, empirical knowledge in data mining
o Constraint, organizational, social and environmental factors in data
mining
o Involving networked constituent information in data mining
o Utilizing networking facilities for data mining
o Ontology and knowledge engineering and management
o Intelligence meta-synthesis in data mining
o Domain driven data mining algorithms
o Social data mining software
(3) Deliverable and evaluation
o Presentation and delivery of data mining deliverables
o Domain driven data mining evaluation system
o Trust, reputation, cost, benefit, risk, privacy, utility and other issues
in data mining
o Post-mining, transfer mining, from mined patterns/knowledge to operable
business rules.
o Knowledge actionability, and integrating technical and business
interestingness
o Reliability, dependability, workability, actionability and usability of
data mining
o Computational performance and actionability enhancement
o Handling inconsistencies between mined and existing domain knowledge
(4) Enterprise applications
o Dynamic mining, evolutionary mining, real-time stream mining, and domain
adaptation
o Activity, impact, event, process and workflow mining
o Enterprise-oriented, spatio-temporal, multiple source mining
o Domain specific data mining, etc.

Important Dates

July 23, 2010         Due date for full workshop papers
September 20, 2010     Notification of paper acceptance to authors
October 11, 2010         Camera-ready of accepted papers
December 13, 2010        Workshop date

Submission

All papers should be submitted through the ICDM2010 submission system here (
http://wi-lab.com/cyberchair/icdm10/scripts/submit.php). Paper submissions
should be limited to a maximum of 10 pages in the IEEE 2-column format, the
same as the camera-ready format (see the IEEE Computer Society Press
Proceedings Author Guidelines). All papers will be reviewed by the Program
Committee
on the basis of technical quality, relevance to domain driven data mining,
originality, significance and clarity.

All papers accepted for the workshop will be included in the ICDM'10
Workshop Proceedings published by the IEEE Computer Society Press.

For more information

Please refer to the DDDM2010 website:
http://datamining.it.uts.edu.au/dddm/dddm10/
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