posted by user: ikuyamada || 2852 views || tracked by 10 users: [display]

FDM 2010 : IEEE Symposium on Foundations and Practice of Data Mining in GrC2010

FacebookTwitterLinkedInGoogle

Link: http://science.kennesaw.edu/~yxie2/FDM2010
 
When Aug 14, 2010 - Aug 16, 2010
Where Silicon Valley, CA, USA
Submission Deadline May 1, 2010
Notification Due May 25, 2010
Final Version Due Jun 10, 2010
Categories    data mining
 

Call For Papers

######################################################################
IEEE Symposium on Foundations and Practice of Data Mining in GrC2010

Call for Papers

######################################################################
Sponsored By IEEE Computer Society

######################################################################
# Honorary Chair
# Stephen Smale ("Math" Nobel Laureate; UC-Berkeley)
# Tomaso Poggio, MIT
# Symposium General Chair
# Vijay V. Raghavan (ICDM2005 Chair; University of Louisiana)
# Symposium Co-chais
# T. Y. Lin, San Jose State University
# Tony Hu, Drexel University
# Program Committee Chair
# Ying Xie, Kennesaw State University
#
#
# Papers Due: ** May 1 **, 2010
# Published by IEEE, Indexed by EI.
# Contact: vijay@cacs.louisiana.edu, yxie2@kennesaw.edu
# Symposium Website: http://science.kennesaw.edu/~yxie2/FDM2010
######################################################################

Data Mining has been developed, though vigorously, under rather ad hoc and vague concepts. The goal of study Foundations of Data Mining 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, 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.

+++++++++++
Highlights
+++++++++++
This symposium, which is conjunction with IEEE 2010 International Conference on Granular Computing, will be held in Silicon Valley, California. Many high-tech companies (IBM, Google, Yahoo and etc.) and several distinguished universities (Stanford, UC Berkeley and etc.) are just around the corner. Some interactions may be organized.
The area now known as Silicon Valley has been a center of technological development since the 1950's. The name Silicon Valley stems from the early 1970's, when the area had become the center for many semiconductor companies. While still hosting semiconductor and microprocessor companies, the region now hosts the headquarters of high tech companies of every kind, including many of the best known and most prestigious names in personal computers, Web search, Internet auctions, networking, storage, databases, etc.


+++++++++++++++++++
Topics of Interest
+++++++++++++++++++

This symposium will focus on, but not limited to, the following topics
* Mathematical foundations of Data Mining and Knowledge Discovery
* Logical aspects of Data Mining
* Modeling of Data Mining and Knowledge Discovery
* Theory of Learning and Discovery
* Theory of Patterns
* Complexity in Data Mining and Discovery
* Uncertainty in Data Mining and Discovery
* Theory of Web Intelligence
* (Cyber-) Learning about (Cyber-) Learning
* 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


++++++++++++++++
Important Dates
++++++++++++++++
Electronic submission of full papers: May 1, 2010
Notification of paper acceptance: May 25, 2010
Camera-ready of accepted papers: June 10, 2010
Symposium: August 14-16, 2010


++++++++++++++++
Paper Submission
++++++++++++++++
Paper submission URL:
http://wici-lab.org/cyberchair/GrC10/scripts/submit_symposium.php?subarea=S1
Paper length: 6 pages in IEEE 2-column format


++++++++++++++++++++++++++++++++
Style Files for Paper Submission
++++++++++++++++++++++++++++++++

IEEE Computer Society Proceedings Manuscript Formatting Guidelines
8.5" x 11"
DOC: ftp://pubftp.computer.org/press/outgoing/proceedings/instruct8.5x11.doc
PDF: ftp://pubftp.computer.org/press/outgoing/proceedings/instruct8.5x11.pdf
PS: ftp://pubftp.computer.org/press/outgoing/proceedings/instruct.ps
LaTex Formatting Macros: ftp://pubftp.computer.org/Press/Outgoing/proceedings/IEEE_CS_Latex8.5x11x2.zip

Related Resources

ICDM 2024   IEEE International Conference on Data Mining
ECAI 2024   27th European Conference on Artificial Intelligence
AIKE 2024   7th IEEE International Conference on Artificial Intelligence and Knowledge Engineering
ACM-Ei/Scopus-CCISS 2024   2024 International Conference on Computing, Information Science and System (CCISS 2024)
BDCAT 2024   IEEE/ACM Int’l Conf. on Big Data Computing, Applications, and Technologies
AIM@EPIA 2024   Artificial Intelligence in Medicine
ICIBA 2024   4th IEEE International Conference on Information Technology, Big Data and Artificial Intelligence
CVIV 2024   2024 6th International Conference on Advances in Computer Vision, Image and Virtualization (CVIV 2024) -EI Compendex
IEEE BigData 2024   2024 IEEE International Conference on Big Data
CoMSE 2024   2024 3rd Conference on Materials Science and Engineering (CoMSE 2024)