[Event at CIG] SIAM SDM'22 Tutorials Info

[SIAM SDM Publicity Chairs]

*SDM'22: THE 22nd SIAM INTERNATIONAL CONFERENCE ON DATA MINING*
April 28 -- April 30, 2022

*Alexandria Old Town, Virginia, USA*

https://www.siam.org/conferences/cm/conference/sdm22

DESCRIPTION
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Data mining is the computational process for discovering valuable knowledge
from data – the core of Data Science. It has enormous application in
numerous fields, including science, engineering, healthcare, business, and
medicine. Typical datasets in these fields are large, complex, and often
noisy. Extracting knowledge from these datasets requires the use of
sophisticated, high-performance, and principled analysis techniques and
algorithms, which are based on sound theoretical and statistical
foundations. These techniques in turn require implementations on high
performance computational infrastructure that are carefully tuned for
performance. Powerful visualization technologies along with effective user
interfaces are also essential to make data mining tools appealing to
researchers, analysts, data scientists and application developers from
different disciplines, as well as usable by stakeholders.


The SDM conference provides a venue for researchers who are addressing
these problems to present their work in a peer-reviewed forum. It also
provides an ideal setting for graduate students to network and get feedback
for their work (as part of the doctoral forum) and everyone new to the
field to learn about cutting-edge research by hearing outstanding invited
speakers and attending presentations and tutorials (included with
conference registration). A set of focused workshops is also held on the
last day of the conference. The proceedings of the conference are published
in archival form and are also made available on the SIAM web site.

*Tutorials Info*

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*Tutorial 1*

title: Socially Responsible AI for Data Mining: Theories and Practice

presenters: Lu Cheng (Arizona State University), Fred Morstatter
(University of Southern California), H. V. Jagadish (University of
Michigan), Huan Liu (Arizona State University)

tutorial webpage: https://sites.google.com/asu.edu/srai4dm/

*Tutorial 2*

title: Matrix Factorizations with Binary Constraints

presenters: Sibylle Hess (TU Eindhoven)

contributors: Michiel Hochstenbach (TU Eindhoven)

tutorial webpage: https://sibylse.github.io/TutorialMF/

*Tutorial 3*

title: Noise Enhancement: Techniques and Applications

presenters: Reyhaneh Abdolazimi (Syracuse University), Reza Zafarani
(Syracuse University)

tutorial webpage: https://reyhanehabdolazimi.com/tutorials/SDM2022

*Tutorial 4*

title: Network Embedding for Role Discovery: Concepts, Tools, and
Applications

presenters: Mark Andrew Heimann (Lawrence Livermore National Laboratory),
Junchen Jin (Northwestern University)

contributors: Danai Koutra (University of Michigan)

tutorial webpage:
https://markheimann.github.io/tutorials/NetworkRoleDiscovery


FOLLOW SDM

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https://twitter.com/SIAMDataMining

Twitter hashtag: #SIAMSDM22