Call for Participation SDM'16: Early registration deadline Apr 7th

[SDM Publicity Chairs]

CALL FOR PARTICIPATION

SDM'16: THE SIXTEENTH SIAM INTERNATIONAL CONFERENCE ON DATA MINING
Miami, Florida, USA
May 5 - 7, 2016
URL: http://www.siam.org/meetings/sdm16/

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.

REGISTRATION
Pre-registration deadline - 4:00PM EDT April 07, 2016
Register now at http://www.siam.org/meetings/sdm16/reginfo.php


HOTEL
The conference will be held at the Hilton Miami Downtown, Miami, FL. More
information about hotel reservation can be found at:
http://www.siam.org/meetings/sdm16/hotel.php

PROGRAM
Up-to-date information on the SDM'16 program is available at:
http://www.siam.org/meetings/sdm16/program.php

KEYNOTES
The conference features the following invited presentations. For more
details, please visit the conference website
http://www.siam.org/meetings/sdm16/invited.php

1. Prof. Virgilio Almeida, Federal University of Minas Gerais, Brazil
Title: TBA

2. Dr. Ricardo Baeza-Yates, Universitat Pompeu Fabra, Spain & Universidad
de Chile, Chile
Title: Data and Algorithmic Bias in the Web

3. Prof. Pedro Domingos, University of Washington, WA, USA
Title: Sum-Product Networks: Deep Models with Tractable Inference

4. Prof. Neil F. Johnson, University of Miami, FL, USA
Title: Big Data, Small Models, and Extreme Behaviors in the Real World


TUTORIALS
The conference features the following tutorials on several special topics.
For more details, please visit the conference website
http://www.siam.org/meetings/sdm16/tutorials.php

- Mining Personal Traits in Social Media
Aron Culotta, Illinois Institute of Technology, USA
Dongwon Lee, Pennsylvania State University, USA

- Optimal Connectivity on Big Graphs: Measures, Algorithms and Applications
Hanghang Tong, Arizona State University, USA

- Large Scale Hierarchical Classification: Foundations, Algorithms and
Applications
Huzefa Rangwala, George Mason University, USA
Azad Naik, George Mason University, USA

- Biomedical Data Mining with Matrix Models
Fei Wang, University of Connecticut, USA
Ping Zhang, IBM Thomas J. Watson Research Center, USA

- Problems with Incomplete Networks: Biases, Skewed Results, and Solutions
Tina Eliassi-Rad, Rutgers University, USA
Sucheta Soundarajan, Syracuse University, USA
Ali Pinar, Sandia National Lab, USA
Brian Gallagher, Lawrence Livermore National Laboratory, USA

- Towards Veracity Challenge in Big Data
Jing Gao, SUNY Buffalo, Buffalo, NY USA
Qi Li, LinkedIn, Mountain View, CA USA
Bo Zhao, Baidu Research Big Data Lab, China
Jiawei Han, University of Illinois, Urbana, IL USA


WORKSHOPS
The conference features the following workshops 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/sdm16/workshops.php

- Data Mining for Medicine and Healthcare (http://www.dmmh.org/)
- Machine Learning Methods for Recommender Systems (MLRec) (
http://mlrec.org/)
- Mining Networks and Graphs: A Big Data Analytic Challenge (MNG 2016) (
http://staff.vbi.vt.edu/maleq/MNG2016/)

DOCTORAL FORUM
The Doctoral Forum is a 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.
More details can be found at http://www.siam.org/meetings/sdm16/forum.php.
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