Data-intensive Text Processing With Mapreduce : Synthesis Lectures on Human Language Technologies

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Data-intensive Text Processing With Mapreduce
: Synthesis Lectures on Human Language Technologies

作者:JimmyLin/ChrisDyer

出版社:MorganandClaypoolPublishers

副标题:SynthesisLecturesonHumanLanguageTechnologies

出版年:2010-4-30

页数:178

定价:USD40.00

装帧:Paperback

丛书:SynthesisLecturesonHumanLanguageTechnology

ISBN:9781608453429

内容简介
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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 framework for large-scale data processing on clusters of commodity servers. The programming model provides an easy-to-understand abstraction for designing scalable algorithms, while the execution framework transparently handles many system-level details, ranging from scheduling to synchronization to fault tolerance. This book focuses on MapReduce algorithm design, with an emphasis on text processing algorithms common in natural language processing, information retrieval, and machine learning. We introduce the notion of MapReduce design patterns, which represent general reusable solutions to commonly occurring problems across a variety of problem domains. This book not only intends to help the reader "think in MapReduce", but also discusses limitations of the programming model as well.

目录
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1.Introduction

2.MapReduce Basics

3.MapReduce Algorithm Design

4. Inverted Indexing for Text Retrieval

5.Graph Algorithms

6.EM Algorithms for Text Processing

7.Closing Remarks

评论 ······

对于MapReduce的初学者很有帮助,帮助读者建立MapReduce的思维方式

对MapReduce的概念介绍得还比较充分,例子一般

作者的风格很严谨,颇有做研究的那一套范儿,不过内容也有点太小儿科了吧,汗……

明白晓畅

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