-------- Original Message -------- Subject: [WI] CFP: DDDM 2011 Workshop joint with ICDM 2011, Deadline July 23, Vancouver, Canada Date: Sun, 19 Jun 2011 10:24:41 +1000 From: Conference public conf.public@gmail.com To: conf.public@gmail.com
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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:
oto 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; oto 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; oto present the applications of domain-driven data mining and demonstrate how KDD can be effectively deployed to solve complex practical problems; and oto 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 oDomain-driven data mining methodology and project management oDomain-driven data mining framework, system support and infrastructure (2) Ubiquitous intelligence oInvolvement and integration of human intelligence, domain intelligence, network intelligence, organizational intelligence and social intelligence in data mining oExplicit, implicit, syntactic and semantic intelligence in data oQualitative and quantitative domain intelligence oIn-depth patterns and knowledge oHuman social intelligence and animat/agent-based social intelligence in data mining oExplicit/direct or implicit/indirect involvement of human intelligence oBelief, intention, expectation, sentiment, opinion, inspiration, brainstorm, retrospection, reasoning inputs in data mining oModeling human intelligence, user preference, dynamic supervision and human-mining interaction oInvolving expert group, embodied cognition, collective intelligence and Consensus construction in data mining oHuman-centered mining and human-mining interaction oFormalization of domain knowledge, background and prior information, meta knowledge, empirical knowledge in data mining oConstraint, organizational, social and environmental factors in data mining oInvolving networked constituent information in data mining oUtilizing networking facilities for data mining oOntology and knowledge engineering and management oIntelligence meta-synthesis in data mining oDomain driven data mining algorithms oSocial data mining software (3) Deliverable and evaluation oPresentation and delivery of data mining deliverables oDomain driven data mining evaluation system oTrust, reputation, cost, benefit, risk, privacy, utility and other issues in data mining oPost-mining, transfer mining, from mined patterns/knowledge to operable business rules. oKnowledge actionability, and integrating technical and business interestingness oReliability, dependability, workability, actionability and usability of data mining oComputational performance and actionability enhancement oHandling inconsistencies between mined and existing domain knowledge (4) Enterprise applications oDynamic mining, evolutionary mining, real-time stream mining, and domain adaptation oActivity, impact, event, process and workflow mining oEnterprise-oriented, spatio-temporal, multiple source mining oDomain 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/