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Amazon.com
Of all the tasks programmers are asked to perform, storing, compressing, and retrieving information are some of the most challenging--and critical to many applications. Managing Gigabytes: Compressing and Indexing Documents and Images is a treasure trove of theory, practical illustration, and general discussion in this fascinating technical subject.

Ian Witten, Alistair Moffat, and Timothy Bell have updated their original work with this even more impressive second edition. This version adds recent techniques such as block-sorting, new indexing techniques, new lossless compression strategies, and many other elements to the mix. In short, this work is a comprehensive summary of text and image compression, indexing, and querying techniques. The history of relevant algorithm development is woven well with a practical discussion of challenges, pitfalls, and specific solutions.

This title is a textbook-style exposition on the topic, with its information organized very clearly into topics such as compression, indexing, and so forth. In addition to diagrams and example text transformations, the authors use "pseudo-code" to present algorithms in a language-independent manner wherever possible. They also supplement the reading with mg--their own implementation of the techniques. The mg C language source code is freely available on the Web.

Alone, this book is an impressive collection of information. Nevertheless, the authors list numerous titles for further reading in selected topics. Whether you're in the midst of application development and need solutions fast or are merely curious about how top-notch information management is done, this hardcover is an excellent investment. --Stephen W. Plain

Topics covered: Text compression models, including Huffman, LZW, and their variants; trends in information management; index creation and compression; image compression; performance issues; and overall system implementation.

Steve Kirsch, Cofounder, Infoseek Corporation
"This book is the Bible for anyone who needs to manage large data collections. It's required reading for our search gurus at Infoseek. The authors have done an outstanding job of incorporating and describing the most significant new research in information retrieval over the past five years into this second edition."

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First Sentence:
"In 1911, Professor Lane Cooper published a concordance of William Wordsworth's poetry so that scholars could readily locate words in which they were interested." Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
signature file index, symbolwise models, priming text, permuted text, inverted file entry, compressed inverted files, specified query terms, permuted string, inverted list, unary code, compression effectiveness, signature width, front coding, pyramid coding, ranked queries, minimal perfect hash function, compression subsystem, bilevel images, minimal perfect hashing, cosine method, inverted file index, ranked query, using arithmetic coding, adaptive pixel, query results page Key Phrases - Capitalized Phrases (CAPs): (learn more)
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