Document Type
Article
Publication Date
2017
Publication Title
MIT Lincoln Laboratory Lexington United States
Abstract
The Data Mining Activity Group is one of SIAM's most vibrant and dynamic activity groups. To better share our enthusiasm for data mining with the broader SIAM community, our activity group organized six minisymposia at the 2016 Annual Meeting. These minisymposia included 48 talks organized by 11 SIAM members on - GraphBLAS (Aydın Buluç) - Algorithms and statistical methods for noisy network analysis (Sanjukta Bhowmick & Ben Miller) - Inferring networks from non-network data (Rajmonda Caceres, Ivan Brugere & Tanya Y. Berger-Wolf) - Visual analytics (Jordan Crouser) - Mining in graph data (Jennifer Webster, Mahantesh Halappanavar & Emilie Hogan) - Scientific computing and big data (Vijay Gadepally) These minisymposia were well received by the broader SIAM community, and below are some of the key highlights.
Keywords
data mining, graphs, algorithms, statistics, network analysis, computer programming, data management
Recommended Citation
Kepner, Jeremy; Bhowmick, Sanjukta; Buluç, Aydın; Caceres, Rajmonda; Crouser, R. Jordan; Gadepally, Vijay; Miller, Ben; and Webster, Jennifer, "SIAM Data Mining "Brings It" to Annual Meeting" (2017). Computer Science: Faculty Publications, Smith College, Northampton, MA.
https://scholarworks.smith.edu/csc_facpubs/99
Comments
Archived as published.
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