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Workshop on Knowledge Discovery from XML Documents
(KDXD 2006)

http://sky.fit.qut.edu.au/~nayak/kdxd06/overview.htm

in conjunction with

The 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining
(PAKDD2006)


http://www.ntu.edu.sg/sce/pakdd2006/index.htm

April 9-12, Singapore, 2006

 

 

The eXtensible Markup Language (XML) has become a standard language for data representation and exchange. With the continuous growth in XML data sources, the ability to manage collections of XML documents and discover knowledge from them for decision support becomes increasingly important.

Mining of XML documents significantly differs from structured data mining and text mining. XML allows the representation of semi-structured and hierarchal data containing not only the values of individual items but also the relationships between data items. Element tags and their nesting therein dictate the structure of an XML document. Due to the inherent flexibility of XML, in both structure and semantics, discovering knowledge from XML data is faced with new challenges as well as benefits. Mining of structure along with content provides new insights and means into the process of knowledge discovery.

Recognising the increasing interest in XML mining, this workshop aims to provide a stimulating forum for researchers in Pacific Asia and other regions of the world to discuss new and interesting algorithms, applications and issues of XML mining. The workshop will provide the opportunity to debate new issues and directions for research and development work in the future.

We solicit papers with important new insights and experiences of mining XML or semistructured data. Topics of interest include, but are not limited to:

a) a) XML or semistructured algorithms and techniques
classification, clustering, association
schema matching/discovery and tree mining
data change detection, approximate querying

b) XML or semistructured data mining applications
Bioinformatics, sensor and networking data
e-commerce, Web services and others
Semantic Web, Ontology and Information Retrieval

c) XML or semistructured data mining emerging issues and challenges
Security and privacy
Distributed mining

d) Use of XML in data mining

e) Benchmarks and mining performance using XML databases

IMPORTANT DATES:
Paper Submission Deadline: 25th Nov, 2005
Notification of Acceptance: 3rd Jan, 2006
Camera-ready Copy Due: 10th January, 2006
Workshop Date: 9th April, 2006

PAPER SUBMISSION:
All accepted papers will be published in the Springer Lecture Notes in Computer (LNCS) series. Papers will be reviewed by at least 2 program committee members for their technical merit, originality, significance, and relevance to the workshop. The papers must be in English and should be formatted according to the Springer-Verlag Lecture Notes in Computer Science guidelines. Author instructions and style files can be downloaded at http://www.springer.de/comp/lncs/authors.html. The maximum length of papers is 10 pages. There will be an opportunity to publish the extended versions of selected papers elsewhere (pending).

WORKSHOP ORGANIZERS:
Richi Nayak; Queensland University of Technology, Australia; r.nayak@qut.edu.au
Mohammed J. Zaki; Rensselaer Polytechnic Institute, USA; zaki@cs.rpi.edu

 

 

 

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