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Managing Gigabytes: Compressing and Indexing Documents and Images, Second Edition

by Ian H. Witten
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Current price ₹6,191.00
Original price ₹10,318.00
Original price ₹10,318.00
Original price ₹10,318.00
(-40%)
₹6,191.00
Current price ₹6,191.00

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Book cover type: Hardcover
  • ISBN13: 9781558605701
  • Binding: Hardcover
  • Subject: N/A
  • Publisher: Morgan Kaufmann Publishers
  • Publisher Imprint: Morgan Kaufmann Publishers
  • Publication Date:
  • Pages: 560
  • Original Price: USD 110.0
  • Language: English
  • Edition: N/A
  • Item Weight: 1130 grams
  • BISAC Subject(s): General, System Administration / Storage & Retrieval, and Software Development & Engineering / General

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. It also details dozens of powerful techniques supported by mg, the authors' own system for compressing, storing, and retrieving text, images, and textual images. mg's source code is freely available on the Web.

Witten, Ian H.: - Ian H. Witten is a professor of computer science at the University of Waikato in New Zealand. He directs the New Zealand Digital Library research project. His research interests include information retrieval, machine learning, text compression, and programming by demonstration. He received an MA in Mathematics from Cambridge University, England; an MSc in Computer Science from the University of Calgary, Canada; and a PhD in Electrical Engineering from Essex University, England. He is a fellow of the ACM and of the Royal Society of New Zealand. He has published widely on digital libraries, machine learning, text compression, hypertext, speech synthesis and signal processing, and computer typography.

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