Cfp: IEEE ICDM Workshop on High Dimensional Data Mining (HDM'22)

[Ata Kaban]

[Apologies for cross-posting]

The 10th International Workshop on High Dimensional Data Mining (HDM'2022)
In conjunction with the IEEE International Conference on Data Mining
(IEEE ICDM 2022)

30 November - 3 December, 2022, Orlando, Florida

http://www.cs.bham.ac.uk/~axk/HDM22.htm

** SUBMISSION DEADLINE: SEPTEMBER 2, 2022 **


Call For Papers

This workshop aims to promote new advances and research directions to address the curses, as well as to uncover and exploit the blessings of high dimensionality in data mining. This year we particularly encourage submissions that define and exploit some notion of
"intrinsic dimension" or more generic "intrinsic structure" in learning and/or optimization problems to allow solving high dimensional data mining tasks more reliably and more efficiently.

Topics of interest include the following:
- What are some useful notions of intrinsic structure for high dimensional data mining?
- How to devise data mining algorithms that scale with a suitable notion of intrinsic structure?
- Plausible models of low intrinsic structure, such as sparse representation, manifold models, latent space models, and studies of their noise tolerance.
- Systematic studies of how the curse of dimensionality affects data mining methods.
- New data mining techniques that exploit some properties of high dimensional data spaces.
- Theoretical underpinning of data mining where the data dimension is larger than the sample size.
- Adaptive and non-adaptive dimensionality reduction for high dimensional data sets.
- Random projections, and random matrix theory applied to high dimensional data mining.
- Classification, regression, clustering, and visualization of high dimensional complex data sets.
- Functional data mining.
- 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: September 2-nd, 2022 at 23:59 Pacific Standard Time
Notifications to authors: September September 23-rd, 2022

For more information see:
http://www.cs.bham.ac.uk/~axk/HDM22.htm

[Ata Kaban]

[Apologies for cross-posting]

The 10th International Workshop on High Dimensional Data Mining (HDM'2022)
In conjunction with the IEEE International Conference on Data Mining
(IEEE ICDM 2022)

28 November - 1 December, 2022, Orlando, Florida [Note the slight shift of timing]

http://www.cs.bham.ac.uk/~axk/HDM22.htm

** EXTENDED SUBMISSION DEADLINE: SEPTEMBER 17, 2022 **

Call For Papers

This workshop aims to promote new advances and research directions to address the curses, as well as to uncover and exploit the blessings of high dimensionality in data mining. This year we particularly encourage submissions that define and exploit some notion of
"intrinsic dimension" or more generic "intrinsic structure" in learning and/or optimization problems to allow solving high dimensional data mining tasks more reliably and more efficiently.

Topics of interest include the following:
- What are some useful notions of intrinsic structure for high dimensional data mining?
- How to devise data mining algorithms that scale with a suitable notion of intrinsic structure?
- Plausible models of low intrinsic structure, such as sparse representation, manifold models, latent space models, and studies of their noise tolerance.
- Systematic studies of how the curse of dimensionality affects data mining methods.
- New data mining techniques that exploit some properties of high dimensional data spaces.
- Theoretical underpinning of data mining where the data dimension is larger than the sample size.
- Adaptive and non-adaptive dimensionality reduction for high dimensional data sets.
- Random projections, and random matrix theory applied to high dimensional data mining.
- Classification, regression, clustering, and visualization of high dimensional complex data sets.
- Functional data mining.
- 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: September 17, 2022 (AoE)
Notifications to authors: September September 23, 2022

Workshop: 28 November 2022