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International Conference on Big Data Analytics

BDA 2014: Big Data Analytics pp 145–160Cite as

Detecting Frauds and Money Laundering: A Tutorial

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8883))

Abstract

The purpose of this tutorial is to provide an introduction to the general area of frauds to analytics scientists and professionals and discuss some analytics techniques used in their detection. We focus on frauds in insurance, stock markets and on money laundering. There are survey papers [1], [2], [3] and books [4], [5], [6], [7], [8] that discuss various analytics techniques for fraud detection in general. However, they do not survey analytics for stock market frauds and money laundering. Another important contribution is that we also discuss some open areas and research problems in the field.

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Author information

Authors and Affiliations

  1. Tata Consultancy Service Limited, 54B Hadapsar Industrial Estate, Pune, 411013, India

    Girish Keshav Palshikar

Authors
  1. Girish Keshav Palshikar
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Editor information

Editors and Affiliations

  1. International Institute of Information Technology - Bangalore, 26/C, Electronics City, Hosur Road, 560100, Bangalore, India

    Srinath Srinivasa

  2. IBM Research - India, 4 Block C, Institutional Area, Vasant Kunj, 110070, New Delhi, India

    Sameep Mehta

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© 2014 Springer International Publishing Switzerland

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Palshikar, G.K. (2014). Detecting Frauds and Money Laundering: A Tutorial. In: Srinivasa, S., Mehta, S. (eds) Big Data Analytics. BDA 2014. Lecture Notes in Computer Science, vol 8883. Springer, Cham. https://doi.org/10.1007/978-3-319-13820-6_12

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  • DOI: https://doi.org/10.1007/978-3-319-13820-6_12

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13819-0

  • Online ISBN: 978-3-319-13820-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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