Topics

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

* Theoretic 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
* Integration of Data Warehousing,
OLAP and Data Mining
* Graphic Model Discovery
* Software Warehouse and Software
Mining

Important Dates

* Paper Submission deadline
* Notification of acceptance/Rejection
* Camera-ready copy
* Workshop proposal
* Tutorial Proposal
* Conference Date



* 30 Nov, 2009
* 30 Jan, 2010
* 28 Feb, 2010
* 31 Dec, 2009
* 28 Feb, 2010
* 21-24 June, 2010

Paper Submission

The paper should consist of a cover page with title, authors' names, postal and email addresses, an approximately 200 words abstract, up to 5 keywords and a body not longer than 12 single-spaced pages with font size at least 11 pts. Authors are strongly encouraged to use Springer's manuscript submission guidelines, available at http://www.springer.de/comp/lncs/authors.html for their initial submissions. All papers must be submitted electronically in PDF format only, using the conference management tool. Detailed instructions will be available at the conference website. The submitted papers must not be published or under consideration to be published elsewhere. Each paper will be reviewed by at least two members of the Thai Track Session Program Committee.
Review Process

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 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