Introduction distributed data processing (6 Ergebnisse)

- Hardcover
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Zustand: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

- Hardcover
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Hardcover. Zustand: Very Good. Zustand des Schutzumschlags: Very Good. Hardback in very good condition with very good dust jacket.

- Hardcover
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Hardcover. Zustand: 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].

- Hardcover
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Hardcover. Zustand: Fair. Sorry, No international shipping on this item.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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Zustand: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.…

Big data mining suite - big data: Internet scale data mining and distributed processing + Introduction to Data Mining (full version) (Set of 2) (Bonus Pack code farming Disc 1)(Chinese Edition)
[ MEI ] Anand Rajaraman . Jeffrey D. Ullman [ MEI ] PangNing Tan . Michael Steinbach . Vipin Kumar
- Softcover
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EUR 138,52
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In den Warenkorbpaperback. Zustand: 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.…