CALL FOR PARTICIPATION
SDM'14: THE FOURTEENTH SIAM INTERNATIONAL CONFERENCE ON DATA MINING
Philadelphia, Pennsylvania, USA
April 24 - 26, 2014
Data mining is an important tool in science, engineering, industrial processes, healthcare, business, and medicine. The datasets in these fields are large, complex, and often noisy. Extracting knowledge requires the use of sophisticated, high-performance and principled analysis techniques and algorithms, based on sound theoretical and statistical foundations. These techniques in turn require implementations that are carefully tuned for performance; powerful visualization technologies; interface systems that are usable by scientists, engineers, and physicians as well as researchers; and infrastructures that support them.
This 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.
Pre-registration deadline – 4:00PM EDT March 27, 2014
1. Dr. Brenda L. Dietrich, IBM Research, USA
Beyond Big Data: Combining Cognitive Computing and Analytics.
2. Dr. Oren Etzioni, Allen Institute for Artificial Intelligence, USA
The Battle for the Future of Data Mining.
3. Dr. Tamara G. Kolda, Sandia National Laboratories, USA
Tensor Factorizations for Multi-way Data: Past, Present, and Future.
4. Prof. David Madigan, Columbia University, USA
Why Most Published Studies Are Wrong But Can Be Fixed.
- Leveraging Social Media and Web of Data to Assist Crisis Response Coordination
Carlos Castillo, Qatar Computing Research Institute, Qatar
Fernando Diaz, Microsoft Research, NYC, USA
Hemant Purohit, Kno.e.sis
- Safer Data Mining: A Tutorial on Algorithmic Techniques in Differential Privacy
Moritz Hardt, IBM Research, Almaden, San Jose, USA
Alexander Nikolov, Rutgers University, USA
- Stochastic Optimization for Analyzing and Mining Big Data
Tianbao Yang, NEC Laboratories America, Inc., USA
Rong Jin, Michigan State University, USA
Shenghuo Zhu, NEC Laboratories America, Inc., USA
- Data Mining in Drug Discovery and Development
Ping Zhang, IBM T.J. Watson Research Center, USA
Lun Yang, GlaxoSmithKline, USA
- Node similarity, Graph Similarity and Matching: Theory and Applications
Tina Eliassi-Rad, Rutgers University, USA
Christos Faloutsos, Carnegie-Mellon University, USA
Danai Koutra, Carnegie-Mellon University, USA
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/sdm14/workshops.php
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. More details will be announced on the conference website.