posted by user: eirini || 1737 views || tracked by 5 users: [display]

PTDM 2012 : Practical Theories of Exploratory Data Mining

FacebookTwitterLinkedInGoogle

Link: https://sites.google.com/site/ptdm2012/welcome
 
When Dec 10, 2012 - Dec 10, 2012
Where Brussels
Submission Deadline Aug 10, 2012
Notification Due Oct 1, 2012
Final Version Due Oct 15, 2012
 

Call For Papers

*****************************************************************************
PTDM-2012: Call for papers

Practical Theories of Exploratory Data Mining (PTDM-2012)
https://sites.google.com/site/ptdm2012/welcome

Co-located with ICDM-2012 Brussels, Belgium (10-13 Dec 20012)
*****************************************************************************

Introduction:

The goal of this ICDM 2012 workshop is to help closing the gap between data mining practice and theory. To this end, we intend to explore what is the essence of exploratory data mining and how to formalize it in order to make it useful in practice. This workshop will survey (through invited as well as contributed talks and posters) some existing attempts at addressing the problems mentioned above. We particularly encourage papers that present principled theoretical contributions motivated by real world requirements.

We invite submissions on theoretically well-founded advances that have the potential to increase the practical impact of exploratory data mining (defined as a set of tools designed to help 'real' users explore 'real' data), by making it more powerful and user friendly. Specific topics of interest include:

Data mining foundations.
Unified frameworks for data mining.
Iterative/interactive data mining.
Relational data mining.
Statistical and information theoretic assessment and comparison of data mining patterns/results.
Visual representation of data mining patterns/results.
Lessons learned from applications in Bioinformatics, Web and Social Network Analysis, Medicine, Business Analytics, Marketing, and other applications areas.

Thought-provoking and insightful position papers on these topics are welcome as well. All submissions will be subjected to a thorough review process by at least 2 and normally 3 reviewers. The overriding criteria for acceptance will be originality, promise of the ideas to ultimately enhance the impact of data mining in practice, and potential to inspire further research.


Submissions:

The format should be a maximum of 8 pages in the IEEE ICDM format (see ICDM conference website) but shorter contributions are welcome as well. The review process is single blind (reviewers unknown to the authors), so please include author names on the title page.

Authors of accepted papers will be given the opportunity to present their work in an oral presentation or poster presentation (depending on quality and suitability of the topic for oral presentation).

All accepted papers will be published in the IEEE workshop proceedings.

Important dates:

August 10, 2012: Workshop paper submission deadline
October 1, 2012: Notification of paper acceptance to authors
October 15, 2012: Camera-ready deadline for accepted papers
December 10, 2012: Workshop date

Organizers:

Tijl De Bie, Akis Kontonasios, Eirini Spyropoulou

Related Resources

ICDM 2024   IEEE International Conference on Data Mining
AIKE 2024   7th IEEE International Conference on Artificial Intelligence and Knowledge Engineering
BDCAT 2024   IEEE/ACM Int’l Conf. on Big Data Computing, Applications, and Technologies
DSIT 2024   7th International Conference on Data Science and Information Technology
DMBDA 2024   2024 7th International Conference on Data Mining and Big Data Analytics(DMBDA 2024)
ADMIT 2024   2024 3rd International Conference on Algorithms, Data Mining, and Information Technology (ADMIT 2024)
ICIBA 2024   4th IEEE International Conference on Information Technology, Big Data and Artificial Intelligence
DataMod 2024   12th International Symposium DataMod 2024: From Data to Models and Back
BDPC 2025   2025 3rd International Conference on Big Data and Privacy Computing (BDPC 2025)
ICBDM 2024   2024 5th International Conference on Big Data in Management (ICBDM 2024)