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Introduction Distributed Data Processing (6 results)
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Hardcover. Condition: Fair. Ex-Library hardcover no dj (black boards reinforced with black library tape) with all the usual markings, attachments, and library wear. Text block clean and unmarked. Tight binding.
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Hardcover. Condition: Very Good. Dust Jacket Condition: Very Good. Hardback in very good condition with very good dust jacket.
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An Introduction to Distributed Data Processing
Language: English
Published by Petrocelli Books, Inc., Princeton, New Jersey, 1978
ISBN 10: 0894330616 ISBN 13: 9780894330612
Seller: Xochi's Bookstore & Gallery, Truth or consequences, NM, U.S.A.
Seller rating 2 out of 5 stars
Hardcover. Condition: Near Fine. Dust Jacket Condition: Very Good. 242pp.incl.index; HB indigo w/gilt; slight rub w/clean,tight pgs. DJ blue w/yellow; rubbed w/chips&tears. Management overview; Data communications concepts; & Distributed systems concepts.
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An Introduction to Distributed Data Processing
Language: English
Published by NY: Petrocelli (PBI), 1978
ISBN 10: 0894330616 ISBN 13: 9780894330612
Hardcover. Condition: Near Fine. Dust Jacket Included. 1978. 1st ptg. Near fine hardback in near fine dust jacket. Previous owner's name and price. 242 pp. Sm 4to. ISBN: 0894330616. [CO].
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An Introduction to Distributed Data Processing
Language: English
Published by Petrocelli, New York, 1978
ISBN 10: 0894330616 ISBN 13: 9780894330612
First Edition
Cloth. Condition: Very Good. Dust Jacket Condition: Very Good. First Edition. xii, 242 pp. Previous owner name on front free endpaper. Jacket has minor shelfwear on lower edge. ". [E]ndeavors to summarize the key concepts of distributed data processing from an introductory point of view.".
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paperback. Condition: New. Paperback. Pub Date :2013-4-1 Pages: full two volumes Publisher: People Post Press Big Data: Internet and distributed processing of large-scale data mining. the book from the author for many years a professor at Stanford University. Web mining course materials. focusing on practical algorithm for large data environment data mining. The book analyzes the massive data sets commonly used data mining algorithms. introduces a number of important topics of the current Web applications. The main con.
