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Data algorithms / Mahmoud Parsian.

By: Material type: TextPublication details: Beijing : O'Reily ; c. 2015.Edition: 1st edDescription: xxxvii, 737 p. : ill. ; 23 cmOther title:
  • Data algorithms : recipes for scaling up with Hadoop and Spark [Cover title]
Subject(s): DDC classification:
  • 004 22 PAR
Contents:
Secondary sort : introduction -- Secondary sort : a detailed example -- Top 10 list -- Left outer join -- Order inversion -- Moving average -- Market basket analysis -- Common friends -- Recommendation engines using MapReduce -- Content-based recommendation : movies -- Smarter email marketing with the Markov Model -- K-means clustering -- k-nearest neighbors -- Naive bayes -- Sentiment analysis -- Finding, counting, and listing all triangles in large graphs -- K-mer counting -- DNA sequencing -- Cox regression -- Cochran-Armitage test for trend -- Allelic frequency -- The T-test -- Pearson correlation -- DNA base count -- RNA sequencing -- Gene aggregation -- Linear regression -- MapReduce and monoids -- The small files problem -- Huge cache for MapReduce -- The bloom filter.
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Holdings
Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Book - Borrowing Central Library Lower Floor Academic Bookshop 004 PAR (Browse shelf(Opens below)) 9128 Available 000034460
Total holds: 0

Includes bibliographic references (page 721-723) and index.

Secondary sort : introduction -- Secondary sort : a detailed example -- Top 10 list -- Left outer join -- Order inversion -- Moving average -- Market basket analysis -- Common friends -- Recommendation engines using MapReduce -- Content-based recommendation : movies -- Smarter email marketing with the Markov Model -- K-means clustering -- k-nearest neighbors -- Naive bayes -- Sentiment analysis -- Finding, counting, and listing all triangles in large graphs -- K-mer counting -- DNA sequencing -- Cox regression -- Cochran-Armitage test for trend -- Allelic frequency -- The T-test -- Pearson correlation -- DNA base count -- RNA sequencing -- Gene aggregation -- Linear regression -- MapReduce and monoids -- The small files problem -- Huge cache for MapReduce -- The bloom filter.

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