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Proceedings of the 2016 SIAM International Conference on Data Mining - LODES: Local Density Meets Spectral Outlier Detection by Sathe, Saket; Aggarwal, Charu is a scholarly article available to read on EtoBox.

What is Proceedings of the 2016 SIAM International Conference on Data Mining - LODES: Local Density Meets Spectral Outlier Detection about?

It is our great pleasure to welcome you to the 2016 SIAM International Conference on Data Mining. This year's research track continues its tradition of providing a forum for researchers, students, practitioners and developers to exchange cutting-edge ideas, techniques and experience in the area of Data Mining and other related areas of interest. This year we received 370 submissions authored by 991 researchers from all over the world. We recruited 166 Program Committee (PC) members along with 35 Senior Program Committee (SPC) members to help us with the review process. Each Program Committee member was assigned to at most seven papers while each Senior Program Committee member oversaw the review progress of up to eleven papers. A paper bidding phase was initiated among the reviewers once the submission deadline passed. Each submitted paper was then assigned based on their bids and subject areas to three Program Committee members to review. We then had an interesting discussion phase, when discrepancies among reviews were minimized. There were also three tele-conferences among the senior PC members to reach a consensus on accepting or not papers. At the end, we accepted 96 excellent

Author

Sathe, Saket; Aggarwal, Charu

Publisher

Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104)

Published

2016

Language

EN

ISBN

9781611974348