HDM 2016 - 4-th International Workshop on High Dimensional Data Mining (HDM 2016)

4-th International Workshop on High Dimensional Data Mining (HDM 2016)
In conjunction with the IEEE International Conference on Data Mining
(IEEE ICDM 2016)
December 12, 2016, Barcelona, Spain.
http://www.cs.bham.ac.uk/~axk/HDM16.htm
** SUBMISSION DEADLINE: August 12, 2016 **
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 include theoretical foundations, algorithms and
implementation, as well as applications and empirical studies, for
example:
o Systematic studies of how the curse of dimensionality affects data
mining methods
o Models of low intrinsic dimension: sparse representation, manifold
models, latent structure models, large margin, others
o How to exploit intrinsic dimension in optimisation tasks for data mining
o New data mining techniques that scale with the intrinsic dimension,
or that exploit some properties of high dimensional data spaces
o Dimensionality reduction
o Methods of random projections, compressed sensing, and random matrix
theory applied to high dimensional data mining and high dimensional
optimisation
o Theoretical underpinning of mining data whose dimensionality is
larger than the sample size
o Classification, regression, clustering, visualisation of high
dimensional complex data sets
o Functional data mining
o Data presentation and visualisation methods for very high
dimensional data sets
o Data mining applications to real problems in science, engineering or
businesses where the data is high dimensional
High quality original submissions are solicited. Papers should not
exceed 8 pages, and should 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 12, 2016 at 23:59 Pacific Standard Time
Notifications to authors: September 13, 2016
Workshop date: December 12, 2016
For more information see:
http://www.cs.bham.ac.uk/~axk/HDM16.htm