Information Retrieval: Data Structures and Algorithms
by William B. Frakes, Ricardo Baeza-Yates

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Book Reviews of Information Retrieval: Data Structures and Algorithms

Book Review: Useful reference book
Summary: 5 Stars

However, the book turned out yet more useful to me as, during my M.A. studies (in CS) I had to write a work on "Suffix Trees" and "Suffix Arrays" and I found that Gonnet, Baeza-Yates and Snider describe equivalent ideas they call "PAT trees" and "PAT arrays".

I found this book useful too for working on computational linguistics related projects as well.

In short - I like keeping this book always in reach, as a reference, though, I found this book not so friendly as an introduction book to the subject ("Managing Gigabytes", might turn out to be a more welcomming).

Summary of Information Retrieval: Data Structures and Algorithms

Information retrieval is a sub-field of computer science that deals with the automated storage and retrieval of documents. Providing the latest information retrieval techniques, this guide discusses Information Retrieval data structures and algorithms, including implementations in C. Aimed at software engineers building systems with book processing components, it provides a descriptive and evaluative explanation of storage and retrieval systems, file structures, term and query operations, document operations and hardware. Contains techniques for handling inverted files, signature files, and file organizations for optical disks. Discusses such operations as lexical analysis and stoplists, stemming algorithms, thesaurus construction, and relevance feedback and other query modification techniques. Provides information on Boolean operations, hashing algorithms, ranking algorithms and clustering algorithms. In addition to being of interest to software engineering professionals, this book will be useful to information science and library science professionals who are interested in text retrieval technology.

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