Data-Intensive Text Processing with MapReduce
by Jimmy Lin, Chris Dyer
Publisher: Morgan & Claypool Publishers 2010
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.
Download or read it online for free here:
Download link
(1.7MB, PDF)
Similar books
Database Explorationsby C.J. Date, Hugh Darwen
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.
(6955 views)
Readings in Database Systemsby J. M. Hellerstein, M. Stonebraker - UC Berkeley
These lecture notes provide students and professionals with a grounding in database research and a technical context for understanding recent innovations in the field. The readings included treat the most important issues in the database area.
(18604 views)
Theory and Applications for Advanced Text Miningby Shigeaki Sakurai (ed.) - InTech
Text mining techniques are studied aggressively in order to extract the knowledge from the data. This book introduces advanced text mining techniques. They are various techniques from relation extraction to under or less resourced language.
(15944 views)
Database Systems and Structuresby Osmar R. Zaiane - Simon Fraser University
An introduction to data models, database systems, the structure and use of relational database systems and relational languages, indexing and storage management, query processing in relational databases, and the theory of relational database design.
(16492 views)