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Big Data: New Paradigm or "Sound and Fury, Signifying Nothing"?

Published: 02 February 2015 Publication History

Abstract

The Gartner's 2014 Hype Cycle released last August moves Big Data technology from the Peak of Inflated Expectations to the beginning of the Trough of Disillusionment when interest starts to wane as reality does not live up to previous promises. As the hype is starting to dissipate it is worth asking what Big Data (however defined) means from a scientific perspective: Did the emergence of gigantic corpora exposed the limits of classical information retrieval and data mining and led to new concepts and challenges, the way say, the study of electromagnetism showed the limits of Newtonian mechanics and led to Relativity Theory, or is it all just "sound and fury, signifying nothing", simply a matter of scaling up well understood technologies? To answer this question, we have assembled a distinguished panel of eminent scientists, from both Industry and Academia: Lada Adamic (Facebook), Michael Franklin (University of California at Berkeley), Maarten de Rijke (University of Amsterdam), Eric Xing (Carnegie Mellon University), and Kai Yu (Baidu) will share their point of view and take questions from the moderator and the audience.

Cited By

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  • (2017)Biologically motivated quantum neural networks2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)10.1109/SMC.2017.8122746(1030-1034)Online publication date: 5-Oct-2017
  • (2017)Ethics and Epistemology in Big Data ResearchJournal of Bioethical Inquiry10.1007/s11673-017-9771-314:4(489-500)Online publication date: 20-Mar-2017

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Published In

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 February 2015

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  1. big data

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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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Cited By

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  • (2017)Biologically motivated quantum neural networks2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)10.1109/SMC.2017.8122746(1030-1034)Online publication date: 5-Oct-2017
  • (2017)Ethics and Epistemology in Big Data ResearchJournal of Bioethical Inquiry10.1007/s11673-017-9771-314:4(489-500)Online publication date: 20-Mar-2017

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