[Elsnet-list] CFP: DDDM 2011 Workshop joint with ICDM 2011, Deadline July 23, Vancouver, Canada

Conference public conf.public at gmail.com
Fri Jun 17 03:14:27 CEST 2011


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Call for Papers - DDDM2011
The Fifth International Workshop on Domain Driven Data Mining

In conjunction with the 2011 IEEE International Conference on Data Mining
(ICDM 2011)

December 11-14, 2011, Vancouver, Canada

URL: http://datamining.it.uts.edu.au/dddm/dddm11/

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 from DDDM2007 to DDDM2010, DDDM2011 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, 2011:      Due date for full workshop papers
September 20, 2011: Notification of paper acceptance to authors
October 11, 2011:      Camera-ready of accepted papers
December 10, 2011: Workshop date

Submission

All papers should be submitted through the ICDM2011 submission system here
by directing to
DDDM2011 workshop. 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 DDDM2011 website:
http://datamining.it.uts.edu.au/dddm/dddm11/
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