Logo

Data-Intensive Text Processing with MapReduce

Large book cover: Data-Intensive Text Processing with MapReduce

Data-Intensive Text Processing with MapReduce
by

Publisher: Morgan & Claypool Publishers
ISBN/ASIN: 1608453421
ISBN-13: 9781608453429
Number of pages: 175

Description:
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.

Home page url

Download or read it online for free here:
Download link
(1.7MB, PDF)

Similar books

Book cover: Data Mining Algorithms In RData Mining Algorithms In R
- Wikibooks
Data mining comprises techniques and algorithms, for determining interesting patterns from large datasets. There are currently hundreds algorithms that perform tasks such as frequent pattern mining, clustering, and classification, among others.
(14307 views)
Book cover: Introduction to MetadataIntroduction to Metadata
by - Getty Publications
This book provides an overview of metadata, its types, roles, and characteristics; a discussion of metadata as it relates to resources on the Web; a description of methods, tools, standards, and protocols used to publish digital collections; etc.
(12150 views)
Book cover: Database ExplorationsDatabase Explorations
by
The database field is full of important problems still to be solved and interesting issues still to be examined -- and some of those problems and issues are explored in this book. It reports on some of our most recent investigations in this field.
(2598 views)
Book cover: Multi-Relational Data MiningMulti-Relational Data Mining
by - IOS Press
This thesis is concerned with Data Mining: extracting useful insights from large collections of data. With the increased possibilities in modern society for companies and institutions to gather data, this subject has become of increasing importance.
(11447 views)