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发信人: NAOMIELIE (雁来红), 信区: DataMining
标  题: CFP: PAKDD'2004
发信站: 南京大学小百合站 (Mon Jul 14 20:14:37 2003)


CALL FOR PAPERS

(Due: December 16, 2003)


The Eighth Pacific-Asia Conference on Knowledge Discovery and Data Mining

(PAKDD04)


Carlton Crest Hotel, Sydney, Australia

26-28 May 2004


http://www.deakin.edu.au/~pakdd04




The Eighth Pacific-Asia Conference on Knowledge Discovery and Data --> Mining 
(PAKDD[0x92]04) will be held in Carlton Crest Hotel, Sydney, Australia, 26-28 
--> May 2004. PAKDD[0x92]04 is a leading international conference in the area 
of data mining. It provides an international forum for researchers and industr
y practitioners to share their new ideas, original research results and practi
cal development experiences from all KDD related areas including data mining, 
data warehousing, machine learning, databases, statistics, knowledge acquisiti
on and automatic scientific discovery, data visualization, causal induction an
d knowledge-based systems. The conference calls for research papers reporting 
original investigation results and industrial track papers reporting real data
 mining applications and system development experience. The conference also so
licits proposals for tutorials on crucial technologies of knowledge discovery 
and data mining, and calls for workshop proposals focusing on specific new cha
llenges and emergency issues of knowledge discovery and data mining.


The topics of the conference papers fall into two major categories which will 
include but are not limited to the following: 


Data Mining Foundations


Theoretical Foundations 
Novel Algorithms 
Association Rules 
Classification and Ranking 
Clustering 
Text Mining 
Machine Learning Methods 
Statistical Methods 
Privacy Preserving Data Mining 
Parallel and Distributed Data Mining 
Interactive and Online Mining 
KDD Process and Human Interaction 
Data and Knowledge Visualization 
Knowledge Management 

Data Mining in Specialized Domains: 


High Dimensional Data 
Temporal Data 
Biomedical Domains 
Dynamic Data Mining 
Scientific Databases 
Semi-structured/unstructured Data 
Spatial Data 
Multimedia 
Web Data and the Internet 
Integrated Media 
Security and Intrusion Detection 
Reliability and Robustness Issues 
Mining Trends, Opportunities or Risks 
o Integration of Data Warehousing, OLAP and Data Mining 

Graphic Knowledge mining, Bayesian Network and Causal Discovery 
o Software Warehouse and Software Mining



Important Dates:


Paper submission deadline: December 16, 2003

        Notification of acceptance/rejection:         February 16, 2004
        Camera-ready copy:                                 March 3, 2004
        Industrial Stream Papers                          27 February 2004
        Workshop proposal:                                  November 25, 2003

Tutorial proposal November 25, 2003

Conference Date May 26-28, 2004




Paper Submission


The paper should consist of a cover page with title, authors' names, postal an
d email addresses, an approximately 200 word summary, up to 5 keywords and a b
ody not longer than 12 single-spaced pages with font size at least 11 pts. Aut
hors are strongly encouraged to use Springer's manuscript submission guideline
s, available at http://www.springer.de/comp/lncs/authors.html for their initia
l submission. All papers must be submitted electronically in PDF format only, 
using the conference management tool which will be available on the conference
 main page. Detailed instructions will be available at http://www.deakin.edu.a
u/~pakdd04. The submitted papers must not be published or under consideration 
to be published elsewhere.


For any further query, please contact the program Chairs at the following addr
esses: 


Honghua Dai

School of Information Technology

Deakin University, Melbourne

Burwood Highway, Burwood VIC 3125

Australia

Tel: [phone]

Fax: [phone]

Email: [e-mail]

http://www.it.deakin.edu.au/~hdai/


Ramakrishnan Srikant

IBM Almaden Research Center, 

K55/B1, 650 Harry Road

San Jose, CA 95120, USA

Tel: [phone]

Fax: [phone]

Email: [e-mail]

http://www.almaden.ibm.com/cs/people/srikant/



All submitted papers will be reviewed by at least two PC members on the basis 
of technical quality, relevance to KDD, originality, significance, and clarity
. Accepted papers will appear in proceedings published by Springer-Verlag as p
art of their LNCS/LNAI Lecture Notes in Artificial Intelligence series. Detail
s about the LNCS/LNAI series can be found at http://www.spriner.de/comp/lncs/i
ndex.html



Tutorial Proposal Submission


Tutorial proposals must clearly identify the intended audience. A proposal sho
uld include a description and outline of the proposed contents; names, affilia
tions, and biographical sketches of the speaker(s). The intended length of the
 tutorial (3 or 6 hours) should also be indicated. For more details of the tut
orial proposal, please look at the Tutorial web page at the conference main pa
ge. Tutorial proposals should be submitted (preferably by email) directly to T
utorial Co-Chairs: 


Kai Ming Ting

Gippsland School of Computing and Information Technology

Monash University

Gippsland Campus Churchill

Victoria 3842, Australia.

Tel: [phone]

Fax: [phone] 

Email: [e-mail]

http://www.gscit.monash.edu.au/~kmting/


Sunita Sarawagi

KR School of Information Technology 

IIT Bombay 

Powai Mumbai-400076

Email: [e-mail]

http://www.it.iitb.ac.in/~sunita/



Workshop Proposal Submission


lang=EN-AU>PAKDD[0x92]04 seeks proposals for workshops on novel and emerging a
reas of Knowledge Discovery & Data Mining, both theoretical and applied. Innov
ative topics are most welcome. Workshops are intended to serve as forums for d
iscussion of ideas and work of emerging interest, and to promote interactions 
between experts in disparate areas that do not have standard forums for intera
ction. Examples of such areas include, but are not restricted to, areas such a
s security and privacy, reliability, stream processing, results and experience
 from real-world applications, economic and commercial issues in mining, and s
o on. Workshops specifically targeted at bringing together practitioners and t
heoretical researchers are also welcome. These workshops are expected to be ei
ther half-day or one-day events. Workshop proposals must be sent (preferably b
y email) directly to Workshop Chairs: 


Chinya. V. Ravishankar

CS&E Department

Marlan & Rosemary Bourns College of Engr.

University of California - Riverside

Riverside, CA 92521

Tel: [phone]

Email: [e-mail]

http://www.cs.ucr.edu/~ravi


Bing Liu

Department of Computer Science 

University of Illinois at Chicago 

851 South Morgan Street,

Chicago, IL 60607-7053 

Tel: [phone] 

Fax: [phone] 

Email: [e-mail]

http://www.cs.uic.edu/~liub/


For more details on workshop proposals, please look at the call for workshop p
roposals at the conference main page.



Industrial Stream


The PAKDD 2004 will have an industrial stream which aims to report the new dev
elopment of the real application of data mining in industry. The Industry Stre
am will highlight research and development in data mining with a strong applic
ation and deployment focus. We are seeking submissions of papers covering prac
tical problems and issues KDD practitioners have encountered in their work and
 how they went about solving them. All papers will be fully reviewed by an int
ernational panel of reviewers, and formal publication is being negotiated. We 
are also seeking expressions of interest from vendors and consultants who are 
able to present their products and services. 


For more details on industrial stream papers, please look at the call for Indu
strial stream papers at the conference main page.


Further inquiries regarding participation, please contact Graham.Williams@csir
o.au.

Industrial stream papers must be submitted by 27 February 2004 directly to the
 Industrial Chair via email:


Graham Williams (Chair)

CSIRO Data Mining 

CSIRO Math. & Inf. Science, ANU, 

GPO Box 664 Canberra, ACT 2601, Australia

Tel: [phone]

Fax: [phone]

[e-mail]

http://datamining.csiro.au/Graham.Williams 






Honorary Chair:


Ramamohanarao Kotagiri, University of Melbourne, Australia


Conference Co-Chairs:


Chengqi Zhang, University of Technology, Sydney, Australia

Nick Cercone, Dalhousie University, Canada


Program Co-Chairs:

Honghua Dai, Deakin University, Australia

Ramakrishnan Srikant, IBM Almaden Research Centre, USA


Organising Chair:


Simeon Simoff, University of Technology, Sydney, Australia


Workshop Co-Chairs:


Chinya. V. Ravishankar, University of California, USA

Bing Liu, University of Illinois at Chicago, USA 


Tutorial Co-Chairs:


Kai Ming Ting, Monash University, Australia

Sunita Sarawagi, KR School of Information Technology, India


Industrial Chair:


Graham Williams, CSIRO Math. & Inf. Sci., ANU, Australia


Publicity Chair:


Sanjay Chawla, The University of Sydney, Australia


Sponsorship Chair:


Peter O'Hanlon, SAS Australia & New Zealand, Australia


Treasurer:


Guangquan Zhang, University of Technology, Sydney, Australia


Web Master:


Gang Li, Deakin University, Australia


Steering Committee Members:


Hiroshi Motoda (Chair), Osaka Univ., Japan

David W. Cheung (Co-Chair), The Univ. of Hong Kong, Hong Kong

Arbee L. P. Chen, Nat. Tsing Hua Univ., Taiwan

Ming-Syan Chen, Nat. Taiwan Univ., Taiwan

Jongwoo Jeon, Department of Statistics, Seoul National Unversity, Korea

Masaru Kitsuregawa, The Univ. of Tokyo, Japan

Rao Kotagiri, Univ. of Melbourne, Australia

Huan Liu, Arizona State Univ., USA

Hongjun Lu, Hong Kong Univ. of Sci. & Tech., Hong Kong

Takao Terano, Univ. of Tsukuba, Japan

Kyu-Young Whang, Comp. Sci. Dept., Korea Adv. Inst. of Sci. & Tech., Korea

Graham Williams, CSIRO, Australia

Ning Zhong, Maebashi Inst. of Tech., Japan

Lizhu Zhou, Tsinghua Univ., China



PAKDD2004 Homepage: http://www.deakin.edu.au/~pakdd04


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