By Mahmoud Parsian
If you're ready to dive into the MapReduce framework for processing huge datasets, this functional booklet takes you step-by-step during the algorithms and instruments you want to construct disbursed MapReduce purposes with Apache Hadoop or Apache Spark. each one bankruptcy presents a recipe for fixing an incredible computational challenge, corresponding to construction a advice approach. You’ll the way to enforce the correct MapReduce answer with code that you should use on your projects.
Dr. Mahmoud Parsian covers uncomplicated layout styles, optimization recommendations, and knowledge mining and computer studying suggestions for difficulties in bioinformatics, genomics, statistics, and social community research. This e-book additionally comprises an outline of MapReduce, Hadoop, and Spark.
- Market basket research for a wide set of transactions
- Data mining algorithms (K-means, KNN, and Naive Bayes)
- Using large genomic info to series DNA and RNA
- Naive Bayes theorem and Markov chains for facts and marketplace prediction
- Recommendation algorithms and pairwise record 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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