Philip S. Yu, Yanchang Zhao, Graham Williams, Carlos Soares
Outline
DDDM: Domain Driven Data Mining
DDDM 2007
DDDM 2008
Background
In the last decade, data mining has emerged as one of most vivacious areas in information technology.
Although many algorithms and techniques for data mining have been proposed, it still remains an open problem to successfully apply them to discover actionable knowledge in real-life applications in various domains.
DDDM
The International Workshop on Domain Driven Data Mining (DDDM)
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,
To promote the interaction of and bridge the gap between data mining research and business expectations, and
To drive a paradigm shift from traditional data-centered hidden pattern mining to domain-driven actionable knowledge discovery.
Objectives
To design next-generation data mining methodology for actionable knowledge discovery and identify how KDD techniques can better contribute to critical domain problems in theory and practice;
To devise domain-driven data mining techniques to strengthen business intelligence in complex enterprise applications;
To present the applications of domain-driven data mining and demonstrate how KDD can be effectively deployed to solve complex practical problems; and
To identify challenges and future directions for data mining research and development in the dialogue between academia and industry.
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
DDDM 2008
Pisa, Italy, on December 15, 2008
In conjunction with IEEE ICDM'08
Website: http://datamining.it.uts.edu.au/dddm08/
39 submissions from 12 countries (including papers forwarded from main conference)
10 papers accepted, with an acceptance rate of 26%
Organizing Committee
General Chair Philip S. Yu University of Illinois at Chicago, USA
Program Chairs Yanchang Zhao University of Technology, Sydney, Australia Graham Williams Australian Taxation Office, Australia Carlos Soares University of Porto, Portugal
Host
Data Sciences & Knowledge Discovery Research Lab http://datamining.it.uts.edu.au
Centre for Quantum Computation and Intelligent Systems
http://www.qcis.uts.edu.au
University of Technology, Sydney, Australia http://www.uts.edu.au
Program Committee
Ronnie Alves Universidade do Minho, Portugal
Elena Baralis Politecnico di Torino, Italy
David Bell Queen's University Belfast, UK
Petr Berka University of Economics of Prague, Czech Republic
Jean-Francois Boulicaut INSA Lyon, France
Longbing Cao University of Technology, Sydney, Australia
