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WSDM'15 Workshop Summary / Scalable Data Analytics: Theory and Applications

Published: 02 February 2015 Publication History

Abstract

The SDA workshop at WSDM 2015 is the fifth International Workshop on Scalable Data Analytics, following the previous four workshops of SDA respectively held at IEEE Big Data 2013, PAKDD 2014, IEEE Big Data 2014, and IEEE ICDM 2014. This series of workshops aims to provide professionals, researchers, and technologists with a single forum where they can discuss and share the state-of-the-art theories and applications of scalable data analytics technologies. In particular, in the era of information explosion, the scientific, biomedical, and engineering research communities are undergoing a profound transformation where discoveries and innovations increasingly rely on massive amounts of data. The characteristics of volume, velocity, variety and veracity originated in the massive big data then bring challenges to current data analytics techniques. The focus of the fifth SDA is to discuss how we can scale up data analytics techniques for modeling and analyzing big data from various domains.

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  1. WSDM'15 Workshop Summary / Scalable Data Analytics: Theory and Applications

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      cover image ACM Conferences
      WSDM '15: Proceedings of the Eighth ACM International Conference on Web Search and Data Mining
      February 2015
      482 pages
      ISBN:9781450333177
      DOI:10.1145/2684822
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Published: 02 February 2015

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      1. big data
      2. data analytics
      3. scalable

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      WSDM 2015

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      WSDM '15 Paper Acceptance Rate 39 of 238 submissions, 16%;
      Overall Acceptance Rate 498 of 2,863 submissions, 17%

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