[PDF.82yg] Data-Intensive Text Processing with MapReduce (Synthesis Lectures on Human Language Technologies)

Data-Intensive Text Processing with MapReduce (Synthesis Lectures on Human Language Technologies)

[PDF.zx21] Data-Intensive Text Processing with MapReduce (Synthesis Lectures on Human Language Technologies)

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 | #1344184 in Books |  Morgan and Claypool Publishers |  2010-04-30 | Original language:English | PDF # 1 |  9.25 x.41 x7.50l,.70 | File type: PDF | 178 pages

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||3 of 3 people found the following review helpful.| Educating book|By Dimitri K|The book is educating and, hopefully, will be helpful for writing map-reduce programs. It concentrates not on API, but on algorithms, which is rare and should be appreciated. Text-processing is a good example of data-intensive processing, but the book may be useful in many other fields.|4 of 5 people found the following review helpful.|

Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications. Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradigms more crucial than ever. MapReduce is a programming model for expressing distributed computations on massive datasets and an execution ...

You can specify the type of files you want, for your device.Data-Intensive Text Processing with MapReduce (Synthesis Lectures on Human Language Technologies)   |  Jimmy Lin, Chris Dyer. A good, fresh read, highly recommended.

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