posted by user: FDML2011 || 9163 views || tracked by 50 users: [display]

FDML 2011 : International Symposium on Foundations of Data Mining and Learning

FacebookTwitterLinkedInGoogle

Link: http://science.kennesaw.edu/~yxie2/FDML2011
 
When Nov 8, 2011 - Nov 10, 2011
Where Kaohsiung, Taiwan
Submission Deadline Jul 1, 2011
Notification Due Aug 15, 2011
Final Version Due Sep 1, 2011
Categories    artificial intelligence   databases   data mining   machine learning
 

Call For Papers

2011 International Symposium on Foundations of Data Mining and Learning
(In conjunction with 2011 IEEE International Conference on Granular Computing)

Kaohsiung, Taiwan
November 8-10, 2011

Call for Papers
(Published by IEEE, Indexed by EI)

#############################################################################
Data Mining has been developed, though vigorously, under rather ad hoc and vague concepts. The goal of studying Foundations of Data Mining and Learning is to laying sound foundations for Mining and Discovery, shaping new data mining paradigms, seeking solutions to long standing data mining problems, and stimulating new data mining research directions.
The central objective in this symposium is to explore various fundamental issues of data mining and learning, spark new communications and collaborations between researchers and practitioners, and foster the study of data mining as a scientific field.
Both data mining researchers and practitioners are welcome to submit original and high quality papers on relevant topics in the field of data mining.

+++++++++++++++++++
Topics of Interest
+++++++++++++++++++
This symposium will focus on, but not limited to, the following topics
* Mathematical foundations of Data Mining and Learning
* Logical aspects of Data Mining
* Modeling of Data Mining and Knowledge Discovery
* Theory of Learning and Discovery
* Theory of Patterns
* Theory of Intelligence
* Complexity in Data Mining and Discovery
* Uncertainty in Data Mining and Discovery
* Data Mining and Computing with Words
* New paradigms for Data Mining and Learning
* Solutions to Long-Standing Data Mining Problems
* Theory-Guided Practice in Data Mining and Knowledge Discovery

++++++++++++++++++++
Symposium Organizers
++++++++++++++++++++
# Honorary Chair
# Stephen Smale, City University of Hong Kong

# Symposium Co-Chairs
# Shusaku Tsumoto, Shimane University, Japan
# Vincent S. Tseng, National Cheng Kung University, Taiwan
# Ying Xie, Kennesaw State University, USA

# Organizing Committee
# T. Y. Lin, San Jose State University, USA
# Tony Hu, Drexel University, USA

# Contact
# tsumoto@computer.org, tsengsm@mail.ncku.edu.tw, yxie2@kennesaw.edu

# Website
# http://science.kennesaw.edu/~yxie2/FDML2011/

++++++++++++++++
Important Dates
++++++++++++++++
Electronic submission of full papers: July 1, 2011
Notification of paper acceptance: August 15, 2011
Camera-ready of accepted papers: September 1, 2011
Symposium: November 8 - 10 , 2011

++++++++++++++++++++
Paper Submission URL
++++++++++++++++++++
http://wi-lab.com/cyberchair/2011/GrC11/scripts/submit_symposium.php?subarea=S1

++++++++++++
Paper Length
++++++++++++
Up to 6 pages in IEEE 2-column format

++++++++++++++++++++
Manuscript Templates
++++++++++++++++++++
IEEE Computer Society Proceedings Manuscript Formatting Guidelines
8.5" x 11"
http://www.ieee.org/conferences_events/conferences/publishing/templates.html

Related Resources

ECCV 2018   European Conference on Computer Vision
ADAH 2017   Advanced Data Analytics in Health
ETHE Blearning 2017   Blended learning in higher education: research findings
ICPR 2018   24th International Conference on Pattern Recognition
MLDM 2018   14th International Conference on Machine Learning and Data Mining MLDM 2018
UMUAI SI 2018   UMUAI SI on Multimodal Learning Analytics & Personalized Support Across Spaces
IJCAI 2018   International Joint Conferences on Artificial Intelligence Organization
IEEE TETCI 2018   IEEE Transactions on Emerging Topics in Computational Intelligence Special Issue on Computational Intelligence in Data-Driven Optimization
ICDM 2018   18th Industrial Conference on Data Mining ICDM 2018
ACL 2018   56th Annual Meeting of the Association for Computational Linguistics