Call for Papers
The 9th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-05)
Melia Hanoi Hotel, Hanoi, Vietnam
(The Call for Papers in PDF format can be downloaded here)
The 9th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-05) is a leading international conference in the areas of data mining and knowledge discovery. It provides an international forum for researchers and industry practitioners to share their new ideas, original research results and practical development experiences from all KDD related areas including data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition and automatic scientific discovery, data visualization, causal induction and 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 solicits proposals for tutorials on crucial technologies of knowledge discovery and data mining, and calls for workshop proposals focusing on specific new challenges and emergency issues of knowledge discovery and data mining.
The conference calls for research papers reporting original investigation results and
industrial track papers reporting real data mining applications and system development
experience.The topics of the PAKDD-05 papers fall into two major categories which will
include but are not limited to the following:
Proceedings will be published by Springer Verlag as a volume of LNCS/LNAI series.
Due to many requests, the Program Committee has agreed to extend the deadline of papers submission to 29 December 2004 (see Important Dates).
For any further query, please contact the Program Committee Chairs at the
All submitted papers will be reviewed by at least three 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 part of their LNCS/LNAI Lecture Notes in Artificial Intelligence series. Details about the LNCS/LNAI series can be found at http://www.springer.de/comp/lncs/index.html
Tutorial Proposal Submission
The PAKDD-05 organizing committee invites tutorial proposals in the area of Knowledge Discovery and Data Mining in various topics. A proposal should include a description and outline of the proposed contents; names, affiliations, and biographical sketches of the speaker(s). The intended length of the tutorial is either half-day or full day. For more details of the tutorial proposal, please look at the Tutorial web page at the conference main page.
Workshop Proposal Submission
PAKDD’05 seeks proposals for workshops on novel and emerging areas
of Knowledge Discovery & Data Mining, both theoretical and applied.
Innovative topics are most welcome. Workshops are intended to serve as
forums for discussion of ideas and work of emerging interest, and to promote
interactions between experts in disparate areas that do not have standard
forums for interaction. Examples of such areas include, but are not restricted
to, areas such as security and privacy, reliability, stream processing,
results and experience from real-world applications, economic and commercial
issues in mining, and so on. Workshops specifically targeted at bringing
together practitioners and theoretical researchers are also welcome. These
workshops are expected to be either half-day or one-day events.
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