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I'm looking for books / papers / articles for understanding:

  1. Computational Techniques for Large-Scale Data Analysis. This covers:
    mining, cluster analysis, association analytics, MapReduce, Hadoop; out-of-core, online, sampling-based, and approximate learning algorithms, etc
  2. Applications of Data analytics:
    Financial Analytics, Risk Analytics, Fraud Detection
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The "Mining by Massive Datasets" book by Jeff Ullman and Venkat Rajaraman (founder of Junglee, Kosmix which is now Walmart Labs) should cover some of the areas you are looking for.

for table of contents;

http://infolab.stanford.edu/~ullman/mmds.html

free pdf is available online (same link)

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Here's a couple:

Let us know if you find others that are good.

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