Download Data Algorithms: Recipes for Scaling Up with Hadoop and by Mahmoud Parsian PDF

By Mahmoud Parsian

If you're ready to dive into the MapReduce framework for processing huge datasets, this useful publication takes you step-by-step throughout the algorithms and instruments you want to construct dispensed MapReduce functions with Apache Hadoop or Apache Spark. each one bankruptcy presents a recipe for fixing a tremendous computational challenge, resembling construction a advice approach. You’ll the best way to enforce the ideal MapReduce resolution with code so that you can use on your projects.

Dr. Mahmoud Parsian covers simple layout styles, optimization options, and knowledge mining and desktop studying ideas for difficulties in bioinformatics, genomics, data, and social community research. This publication additionally contains an outline of MapReduce, Hadoop, and Spark.

Topics include:

  • Market basket research for a wide set of transactions
  • Data mining algorithms (K-means, KNN, and Naive Bayes)
  • Using large genomic information to series DNA and RNA
  • Naive Bayes theorem and Markov chains for information and marketplace prediction
  • Recommendation algorithms and pairwise rfile similarity
  • Linear regression, Cox regression, and Pearson correlation
  • Allelic frequency and mining DNA
  • Social community research (recommendation platforms, counting triangles, sentiment analysis)

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