Work

SIAM Data Mining Brings It' to Annual Meeting

Year: 2017

Type: article

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.

Source: Smith ScholarWorks (Smith College)

Authors: Jeremy Kepner, Vijay Gadepally, Benjamin A. Miller, Rajmonda S. Caceres, Sanjukta Bhowmich, Aydın Buluç, R. Jordan Crouser, Jennifer Webster

Language: English

Topic: Complex Network Analysis Techniques

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

Funders: National Science Foundation, U.S. Department of Energy, Advanced Scientific Computing Research

Awards: G1286236842, G1799333409, G1863003419, G2365043160, G3083819904, G42916606, G565026106, Applied Free Probability Theory, G969889393

OpenAlex ID: W2736818178

FWCI:

Cites: 23

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Related to: 10