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CODS-COMAD '18: Proceedings of the ACM India Joint International Conference on Data Science and Management of Data
ACM2018 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
CoDS-COMAD '18: The ACM India Joint International Conference on Data Science & Management of Data Goa India January 11 - 13, 2018
ISBN:
978-1-4503-6341-9
Published:
11 January 2018

Reflects downloads up to 31 Dec 2024Bibliometrics
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Abstract

This volume contains the papers presented at the ACM India Joint International Conference on Data Science and Management of Data (CoDS-COMAD) 2018 (5th ACM IKDD CoDS and 23rd COMAD), Goa, India on January 11 - 13, 2018.

For over two decades, the International Conference on Management of Data (COMAD), modeled along the lines of ACM SIGMOD, has been the premier international database conference hosted in India by Division II of Computer Society of India (CSI). The first COMAD was held in 1989, and it has been held on a nearly annual basis since then. COMAD has always had a significant international participation, with about 30% of the papers being from outside India, including Europe, USA and East/South-East Asia.

Conference on Data Sciences (CoDS) encompasses the areas of data analytics, machine learning and managing big data hosted by the India Chapter of ACM KDD (IKDD). Since its inception in 2013, CoDS has been successful in putting together a very exciting program in the growing field of Data Science. The series of CoDS conferences have also hosted numerous esteemed speakers from various parts of the world.

The CoDS-COMAD 2018 conference builds on the long history of both COMAD and CoDS towards bringing together the two related communities closer under a common umbrella.

Contributors
  • Indian Institute of Technology Delhi
  • Indian Institute of Technology Kharagpur
  • Microsoft Corporation
  • Indian Institute of Technology Bombay
  • Xerox Research Center India
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Acceptance Rates

CODS-COMAD '18 Paper Acceptance Rate 50 of 150 submissions, 33%;
Overall Acceptance Rate 197 of 680 submissions, 29%
YearSubmittedAcceptedRate
CoDS COMAD 20202757828%
CODS-COMAD '191986231%
CODS-COMAD '181505033%
CODS '1457712%
Overall68019729%