Call for Participation: SDM'17 (April 27-29, 2017)

[SDM Publicity Chairs]

CALL FOR PARTICIPATION

SDM'17: THE SEVENTEENTH SIAM INTERNATIONAL CONFERENCE ON DATA MINING
*** Call for Participation ***

April 27 - April 29, 2017
The Westin Galleria Houston
Houston, Texas, USA
www.siam.org/meetings/sdm17/

REGISTRATION - IMPORTANT DATES

Pre-registration deadline: March 30, 2017 at 11:59 PM (PDT)
Register now at http://www.siam.org/meetings/sdm17/reginfo.php

FOLLOW SDM
https://twitter.com/SIAMDataMining
https://www.facebook.com/events/475483799321188/

DESCRIPTION
Data mining is the computational process for discovering valuable knowledge
from data. 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, and application developers from
different disciplines.

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 and others 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.

HOTEL
The conference will be held at the Westin Galleria Hotel, Downtown,
Houston, TX. Additional information about hotel reservations is available
at the following website:

http://www.siam.org/meetings/sdm17/hotel.php

PROGRAM
Up-to-date information on the SDM'17 program will be available in early
March at: http://www.siam.org/meetings/sdm17/program.php


TUTORIALS
The conference features the following tutorials on several special topics.
For more details, please visit the conference website
http://www.siam.org/meetings/sdm17/tutorials.php

- An Introduction to Redescription Mining

Presenters: Pauli Miettinen, MPI-INF, Germany; Esther Galbrun, INRIA, France

- IoT Big Data Stream Mining

Presenters: Gianmarco De Francisci Morales, QCRI, Qatar; Albert Bifet,
Telecom-ParisTech, France;  Latifur Khan, University of  Texas at Dallas,
USA; Joao Gama, University of Porto, Portugal;  Wei Fan, Baidu Research,
California, USA

- Leveraging Propagations for Data Mining

Presenters: B. Aditya Prakash, Virginia Tech, USA; Naren Ramakrishnan,
Virginia Tech, USA

- Opportunities, Challenges and Methods for Higher Education Data Mining

Presenters: Huzefa Rangwala, George Mason University, USA; Aditya Johri,
George Mason University, USA;  Asmaa El Badrawy, University of Minnesota,
USA;  George Karypis, University of Minnesota, USA

- Summarizing Large-Scale Graph Data

Presenter: Danai Koutra, University of Michigan, USA



WORKSHOPS
The conference features the following workshops and minisymposium on
several special topics. For more details, please visit the links mentioned
next to each workshop or the conference website at
http://www.siam.org/meetings/sdm17/workshops.php

Data Mining for Medicine and Healthcare (full day)

Organizers: Wang Fei, Xia Ben Hu, Gregor Stiglic, Nitesh Chawla, Zoran
Obradovic

http://www.dmmh.org/sdm17

Inferring Networks From Non-Network Data (full day)

Organizers: Rajmonda Caceres, Tanya Berger-Wolf, Brian Gallagher, Ivan
Brugere

http://compbio.cs.uic.edu/netinf17/

Machine Learning Methods for Recommender Systems (full day)

Organizers: Xia Ning, Deguang Kong, George Karypis

http://mlrec.org/2017/index.html

Mining Big Data in Climate and Environment (full day)

Organizers: Vipin Kumar, Shashi Shekhar

https://sites.google.com/a/umn.edu/mbdce-2017/home

Workshop on Data Mining for Oil & Gas (half day)

Organizers: Alipio Jorge, German Larrazabal, Rui L. Lopes

http://dm4og.inesctec.pt/

Women in Data Science (full day)

Organizers: Ana Paula Appel, Marisa A. Vasconcelos, Mirella M. Moro, Yasuko
Matsubara

https://sites.google.com/site/workshopwinds2017/



DOCTORAL FORUM
The Doctoral Forum is special poster session collocated with the SDM
conference oral presentation and poster sessions. Selected PhD students
will present their work, discuss and receive feedback on their research.

http://www.eecs.wsu.edu/~sji/SDM17Scholarship/
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