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Identifying Online Fraudsters with Anomaly Detection Using Network Effects

  • Jun 18, 2013 · 6:00 PM
  • IBM

CMU Professor Christos Faloutsos will review some of the techniques of anomaly detection and show how applying 'network effects'
to eBay transactions can be used to unearth hidden networks of eBay fraudsters.
Detecting anomalies and fraud has important applications in finance, online commerce, healthcare, law enforcement etc. Using network effects ('guilt by association') with large data sets is becoming increasingly effective in a range of analyses from identifying fraudulent transactions to uncovering social media players engaged in artificially boosting networks. Attend this session to see real world examples of graphical mining in action.

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  • Nidhi G.

    Great presentation! Informative, sparked ideas, and very well presented.

    June 19, 2013

  • Steve T.

    'Looking forward to Dr. Faloutsos' presentation!

    June 5, 2013

    • Steve T.

      Great lecture last night, thanks to those who organized and to the professor.

      1 · June 19, 2013

  • jeff z.

    Is food served at this meetup?

    June 18, 2013

    • Saman H.

      Coffee, Tea and some snacks will be available

      June 18, 2013

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