SDM13: Call for Tutorials

Accepted Tutorials

Big Data Analytics for Healthcare - PDF [6MB]
Jimeng Sun, IBM T. J. Watson Research Center, USA
Chandan Reddy, Wayne State University, USA

Crowdsourcing & Human Computation for Data Labeling & Building Hybrid Systems - slides
Matthew Lease, University of Texas at Austin, USA

Outlier Detection for Temporal Data - PDF [8.5MB]
Manish Gupta, University of Illinois at Urbana-Champaign, USA
Jing Gao, State University of New York, Buffalo, USA
Charu Aggarwal, IBM T. J. Watson Research Center, USA
Jiawei Han, University of Illinois at Urbana-Champaign, USA

Online Learning for Big Data Mining: Methods and Applications - PDF [5MB]
Steven C.H. Hoi, Nanyang Technological University, Singapore

Recent Advances in Applied Matrix Technologies - PDF [16MB]
Fei Wang, IBM T. J. Watson Research Center, USA

Sampling and Summarization for Social Networks - PDF [2MB]
Shou-De Lin, National Taiwan University, Taiwan
Mi-Yen Yeh, Institute of Information Science, Academia Sinica, Taiwan
Cheng-Te Li, National Taiwan University, Taiwan

 

The SIAM Data Mining (SDM13) Organizing Committee invites proposals for tutorials to be held in conjunction with the conference. Tutorials are an effective way to educate and/or provide the necessary background to the intended audience enabling them to understand technical advances.

For SDM13, we are seeking proposals for tutorials on all topics related to data mining. A tutorial may be a theme-oriented comprehensive survey, discuss novel data mining techniques or may center around successful and timely application of data mining in important application areas (e.g. medicine, national security, scientific data analysis). For examples of typical SIAM tutorials, see the set of accepted tutorials at previous SIAM conferences SDM11 and SDM12.

Tutorials are open to all conference attendees without any extra fees. The typical tutorial will be 2 hrs long (longer tutorials will be considered). Previous SDM conferences attracted up to 100 attendees in a tutorial.

Proposals should be submitted electronically by September 30, 2012 11:59 PM PST to:

Jieping Ye
Computer Science and Engineering
Arizona State University
jieping.ye@asu.edu  

Proposals should be submitted in PDF format (for other formats please contact the tutorial chair first). Proposals should include the following:

Timeline

 

Renew SIAM · Contact Us · Site Map · Join SIAM · My Account
Facebook Twitter Youtube