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Encyclopedia of Database Systems pp 1–4Cite as

Crowd Mining and Analysis

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FormalPara Synonyms

Crowd data mining, Crowd mining

Definition

Crowd mining is the process of identifying data patterns in human knowledge, with the assistance of a crowd of web users. The focus is on domain areas in which data is partially or entirely undocumented and where humans are the main source of knowledge, such as data that involves people’s habits, experiences, and opinions. A key challenge in mining such data is that the human knowledge forms an open world and it is thus difficult to know what kind of information one should be looking for.

In classic databases, a similar problem is addressed by data mining techniques that identify interesting patterns in recorded data such as relational databases or textual documents. These techniques, however, are not suitable for the crowd. This is mainly due to properties of the human memory, such as the tendency to remember simple trends and summaries rather than exact details, which should be taken into consideration when gathering and...

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Recommended Reading

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Author information

Authors and Affiliations

  1. Department of Computer Science, Bar Ilan University, Ramat Gan, Israel

    Yael Amsterdamer

  2. School of Computer Science, Tel Aviv University, Tel Aviv, Israel

    Tova Milo

Authors
  1. Yael Amsterdamer
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  2. Tova Milo
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Corresponding author

Correspondence to Yael Amsterdamer .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, Georgia, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, Ontario, Canada

    M. Tamer Özsu

Section Editor information

  1. Computer Science, The University of Hong Kong, Pokfulam Road, Hong Kong, China

    Reynold Cheng PhD, Associate Professor

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Amsterdamer, Y., Milo, T. (2017). Crowd Mining and Analysis. In: Liu, L., Özsu, M. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4899-7993-3_80657-2

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  • DOI: https://doi.org/10.1007/978-1-4899-7993-3_80657-2

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4899-7993-3

  • Online ISBN: 978-1-4899-7993-3

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

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