LNAI 7867_ Trends and Applications in Knowledge Discovery and Data Mining [Li, Cao, Wang, Tan, Liu, Pei & Tseng 2013-09-05](1).pdf

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Jiuyong Li Longbing Cao
Can Wang Kay Chen Tan Bo Liu
Jian Pei Vincent S. Tseng
(Eds.)
Trends and Applications
in Knowledge Discovery
and Data Mining
PAKDD 2013 International Workshops:
DMApps, DANTH, QIMIE, BDM, CDA, CloudSD
Gold Coast, QLD, Australia, April 2013
Revised Selected Papers
LNAI 7867
123
Lecture Notes in Artificial Intelligence
Subseries of Lecture Notes in Computer Science
LNAI Series Editors
Randy Goebel
University of Alberta, Edmonton, Canada
Yuzuru Tanaka
Hokkaido University, Sapporo, Japan
Wolfgang Wahlster
DFKI and Saarland University, Saarbrücken, Germany
7867
LNAI Founding Series Editor
Joerg Siekmann
DFKI and Saarland University, Saarbrücken, Germany
Jiuyong Li Longbing Cao
Can Wang Kay Chen Tan Bo Liu
Jian Pei Vincent S. Tseng (Eds.)
Trends and Applications
in Knowledge Discovery
and Data Mining
PAKDD 2013 International Workshops:
DMApps, DANTH, QIMIE, BDM, CDA, CloudSD
Gold Coast, QLD, Australia, April 14-17, 2013
Revised Selected Papers
13
Volume Editors
Jiuyong Li
University of South Australia, Adelaide, SA, Australia
E-mail: jiuyong.li@unisa.edu.au
Longbing Cao
Can Wang
University of Technology, Sydney, NSW, Australia
E-mail: longbing.cao@uts.edu.au; canwang613@gmail.com
Kay Chen Tan
National University of Singapore, Singapore
E-mail: eletankc@nus.edu.sg
Bo Liu
Guangdong University of Technology, Guangzhou, China
E-mail: csbliu@gmail.com
Jian Pei
Simon Fraser University, Burnaby, BC, Canada
E-mail: jpei@cs.sfu.ca
Vincent S. Tseng
National Cheng Kung University, Tainan, Taiwan
E-mail: tsengsm@mail.ncku.edu.tw
ISSN 0302-9743
e-ISSN 1611-3349
ISBN 978-3-642-40318-7
e-ISBN 978-3-642-40319-4
DOI 10.1007/978-3-642-40319-4
Springer Heidelberg Dordrecht London New York
Library of Congress Control Number: 2013944975
CR Subject Classification (1998): H.2.8, I.2, H.3, H.5, H.4, I.5
LNCS Sublibrary: SL 7 – Artificial Intelligence
© Springer-Verlag Berlin Heidelberg 2013
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Preface
This volume contains papers presented at PAKDD Workshops 2013, affiliated
with the 17th Pacific-Asia Conference on Knowledge Discovery and Data Min-
ing (PAKDD) held on April 14, 2013 on the Gold Coast, Australia. PAKDD has
established itself as the premier event for data mining researchers in the Pacific-
Asia region. The workshops affiliated with PAKDD 2013 were: Data Mining Ap-
plications in Industry and Government (DMApps), Data Analytics for Targeted
Healthcare (DANTH), Quality Issues, Measures of Interestingness and Evalua-
tion of Data Mining Models (QIMIE), Biologically Inspired Techniques for Data
Mining (BDM), Constraint Discovery and Application (CDA), Cloud Service
Discovery (CloudSD), and Behavior Informatics (BI). This volume collects the
revised papers from the first six workshops. The papers of BI will appear in a
separate volume.
The first six workshops received 92 submissions. All papers were reviewed
by at least two reviewers. In all, 47 papers were accepted for presentation, and
their revised versions are collected in this volume. These papers mainly cover
the applications of data mining in industry, government, and health care. The
papers also cover some fundamental issues in data mining such as interestingness
measures and result evaluation, biologically inspired design, constraint and cloud
service discovery.
These workshops featured five invited speeches by distinguished researchers:
Geoffrey I. Webb (Monash University, Australia), Osmar R. Za¨
ıane (University
of Albert, Canada), Jian Pei (Simon Fraser University, Canada), Ning Zhong
(Maebashi Institute of Technology, Japan), and Longbing Cao (University of
Technology Sydney, Australia). Their talks cover current challenging issues and
advanced applications in data mining.
The workshops would not be successful without the support of the authors,
reviewers, and organizers. We thank the many authors for submitting their re-
search papers to the PAKDD workshops. We thank the successful authors whose
papers are published in this volume for their collaboration in the paper revision
and final submission. We appreciate all PC members for their timely reviews
working to a tight schedule. We also thank members of the Organizing Commit-
tees for organizing the paper submission, reviews, discussion, feedback and the
final submission. We appreciate the professional service provided by the Springer
LNCS editorial teams, and Mr. Zhong She’s assistance in formatting.
June 2013
Jiuyong Li
Longbing Cao
Can Wang
Kay Chen Tan
Bo Liu

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