MANAGING GIGABYTES WITTEN PDF

Grorn In this fully updated second edition of the highly acclaimed Managing Gigabytesauthors Witten, Moffat, and Bell continue to provide unparalleled coverage of wittten techniques for compressing and indexing data. Whatever your field, if you work with large quantities of information, this book is essential reading—an authoritative theoretical resource and a practical guide to meeting the toughest storage and access challenges. It discusses all the algorithms and tradeoffs, and comes with free downloadable source code to experiment with. It covers the latest developments in compression and indexing and their application on the Web and in digital libraries. RAM and disk are cheap, but not that cheap, and for now terabytes and sometimes petabytes are managed only by NASA, Google, and a few others.

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Main Managing gigabytes: compressing and indexing documents and images Managing gigabytes: compressing and indexing documents and images Ian H. Witten , Alistair Moffat , Timothy C.

Bell In this fully updated second edition of the highly acclaimed Managing Gigabytes , authors Witten, Moffat, and Bell continue to provide unparalleled coverage of state-of-the-art techniques for compressing and indexing data. Whatever your field, if you work with large quantities of information, this book is essential reading--an authoritative theoretical resource and a practical guide to meeting the toughest storage and access challenges.

It covers the latest developments in compression and indexing and their application on the Web and in digital libraries. 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. 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.

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