Data-Intensive Text Processing with MapReduce
eBook - PDF

Data-Intensive Text Processing with MapReduce

Jimmy Lin,Chris Dyer

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Data-Intensive Text Processing with MapReduce

Jimmy Lin,Chris Dyer

Book details
Table of contents
Citations

About This Book

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 ofMapReduce 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. Table of Contents: Introduction / MapReduce Basics / MapReduce Algorithm Design / Inverted Indexing for Text Retrieval / Graph Algorithms / EM Algorithms for Text Processing / Closing Remarks

Frequently asked questions

How do I cancel my subscription?
Simply head over to the account section in settings and click on “Cancel Subscription” - it’s as simple as that. After you cancel, your membership will stay active for the remainder of the time you’ve paid for. Learn more here.
Can/how do I download books?
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
What is the difference between the pricing plans?
Both plans give you full access to the library and all of Perlego’s features. The only differences are the price and subscription period: With the annual plan you’ll save around 30% compared to 12 months on the monthly plan.
What is Perlego?
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Do you support text-to-speech?
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Is Data-Intensive Text Processing with MapReduce an online PDF/ePUB?
Yes, you can access Data-Intensive Text Processing with MapReduce by Jimmy Lin,Chris Dyer in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Springer
Year
2022
ISBN
9783031021367
Topic
Computer Science
Subtopic
Artificial Intelligence (AI) & Semantics
Index
Computer Science

Table of contents

Citation styles for Data-Intensive Text Processing with MapReduce

APA 6 Citation

Lin, J., & Dyer, C. (2010). Data-Intensive Text Processing with MapReduce ([edition unavailable]). Springer International Publishing. Retrieved from https://www.perlego.com/book/3706884/dataintensive-text-processing-with-mapreduce-pdf (Original work published 2010)

Chicago Citation

Lin, Jimmy, and Chris Dyer. (2010) 2010. Data-Intensive Text Processing with MapReduce. [Edition unavailable]. Springer International Publishing. https://www.perlego.com/book/3706884/dataintensive-text-processing-with-mapreduce-pdf.

Harvard Citation

Lin, J. and Dyer, C. (2010) Data-Intensive Text Processing with MapReduce. [edition unavailable]. Springer International Publishing. Available at: https://www.perlego.com/book/3706884/dataintensive-text-processing-with-mapreduce-pdf (Accessed: 15 October 2022).

MLA 7 Citation

Lin, Jimmy, and Chris Dyer. Data-Intensive Text Processing with MapReduce. [edition unavailable]. Springer International Publishing, 2010. Web. 15 Oct. 2022.