Connectionists: Cfp: Workshop on High Dimensional Data Mining at ICDM

[Ata Kaban]

[Apologies for cross-posting]

The 1st International Workshop on High Dimensional Data Mining (HDM 2013)
In conjunction with the IEEE International Conference on Data Mining (IEEE 
ICDM 2013 - 7-10 December, Dallas, Texas)

DECEMBER 7, DALLAS, TEXAS

http://www.cs.bham.ac.uk/~axk/HDM.htm

** NEW SUBMISSION DEADLINE: AUGUST 17, 2013 **


Call For Papers


This workshop aims to promote new advances and research directions to 
address the curses, and to uncover and exploit the blessings of high 
dimensionality in data mining.

Unprecedented technological advances lead to increasingly high dimensional 
data sets in all areas of science, engineering and businesses. These 
include genomics and proteomics, biomedical imaging, signal processing, 
astrophysics, finance, web and market basket analysis, among many others. 
The number of features in such data is often of the order of thousands or 
millions -- that is much larger than the available sample size. Geometric 
intuition breaks down, statistical estimation becomes problematic. 
Classical data analysis methods become inadequate, questionable, or 
inefficient at best, and this calls for new approaches.

Topics of interest range from theoretical foundations, to algorithms and 
implementation, to applications and empirical studies, including (but not 
limited to) the following:

o Systematic studies of how various aspects of the curse of dimensionality 
affect data mining methods
o New data mining techniques that exploit some properties of high 
dimensional data spaces
o Adaptive and non-adaptive dimensionality reduction for noisy high 
dimensional data sets
o Methods of random projections, compressed sensing, and random matrix 
theory applied to high dimensional data mining
o Models of low intrinsic dimension, such as sparse representation, 
manifold models, latent structure models
o Classification, regression, clustering of high dimensional data
o Functional data mining
o Visualisation methods for very high dimensional data sets
o Data mining applications in science, engineering or businesses where the 
data is high dimensional

High quality original submissions are solicited. Papers should not exceed 
8 pages, and follow the IEEE ICDM format requirements of the main 
conference. All submissions will be peer-reviewed, and the accepted papers 
will be published in the proceedings by the IEEE Computer Society Press.

Submission Deadline: August 17, 2013.
Notification to authors: September 24, 2013.
Workshop: December 7, 2013.

More information at:
http://www.cs.bham.ac.uk/~axk/HDM.htm