Accession Number:

AD1028506

Title:

SIAM Data Mining "Brings It' to Annual Meeting

Descriptive Note:

Conference Paper

Corporate Author:

MIT Lincoln Laboratory Lexington United States

Report Date:

2017-02-24

Pagination or Media Count:

7.0

Abstract:

The Data Mining Activity Group is one of SIAMs most vibrant and dynamic activity groups. To better share our enthusiasm for data mining with the broader SIAM community, our activity group organized six mini-symposia at the 2016Annual Meeting. These mini-symposia included 48 talks organized by 11 SIAM members on GraphBLAS Aydn Bulu, Algorithms and statistical methods for noisy network analysis Sanjukta Bhowmick and Ben Miller, Inferring networks from non-network data Rajmonda Caceres, Ivan Brugere and Tanya Y. Berger-Wolf, Visual analytics Jordan Crouser, Mining in graph data Jennifer Webster, Mahantesh Halappanavar and Emilie Hogan, Scientific computing and big data Vijay Gadepally. These mini-symposia were well received by the broader SIAM community, and below are some of the key highlights.

Subject Categories:

  • Information Science

Distribution Statement:

APPROVED FOR PUBLIC RELEASE