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The 3rd International Workshop on High Dimensional Data Mining (HDM 2015) In conjunction with the IEEE International Conference on Data Mining (IEEE ICDM 2015) NOVEMBER 13, ATLANTIC CITY, NJ, USA. http://www.cs.bham.ac.uk/~axk/HDM15.htm ** SUBMISSION DEADLINE: JULY 20, 2015 ** 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, other? o How to exploit intrinsic dimension in optimisation tasks for data mining? o New data mining techniques that scale with the intrinsic dimension, or 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 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: July 20, 2015 at 23:59 Pacific Standard Time Notifications to authors: September 1, 2015 Workshop date: November 13, 2015 For more information see: http://www.cs.bham.ac.uk/~axk/HDM15.htm You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank.