Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108476341 ISBN 13: 9781108476348
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Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108476341 ISBN 13: 9781108476348
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Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108476341 ISBN 13: 9781108476348
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Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108476341 ISBN 13: 9781108476348
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Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108476341 ISBN 13: 9781108476348
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Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108476341 ISBN 13: 9781108476348
Da: Textbooks_Source, Columbia, MO, U.S.A.
hardcover. Condizione: New. 3rd Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108476341 ISBN 13: 9781108476348
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Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108476341 ISBN 13: 9781108476348
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108476341 ISBN 13: 9781108476348
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108476341 ISBN 13: 9781108476348
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Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2020
ISBN 10: 1108476341 ISBN 13: 9781108476348
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Hardcover. Condizione: new. Hardcover. Written by leading authorities in database and Web technologies, this book is essential reading for students and practitioners alike. The popularity of the Web and Internet commerce provides many extremely large datasets from which information can be gleaned by data mining. This book focuses on practical algorithms that have been used to solve key problems in data mining and can be applied successfully to even the largest datasets. It begins with a discussion of the MapReduce framework, an important tool for parallelizing algorithms automatically. The authors explain the tricks of locality-sensitive hashing and stream-processing algorithms for mining data that arrives too fast for exhaustive processing. Other chapters cover the PageRank idea and related tricks for organizing the Web, the problems of finding frequent itemsets, and clustering. This third edition includes new and extended coverage on decision trees, deep learning, and mining social-network graphs. Essential reading for students and practitioners, this book focuses on practical algorithms used to solve key problems in data mining, with exercises suitable for students from the advanced undergraduate level and beyond. This third edition includes new and extended coverage on decision trees, deep learning, and mining social-network graphs. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108476341 ISBN 13: 9781108476348
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Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108476341 ISBN 13: 9781108476348
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EUR 91,19
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Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108476341 ISBN 13: 9781108476348
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Aggiungi al carrelloCondizione: New. 2020. 3rd Edition. Hardcover. . . . . .
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108476341 ISBN 13: 9781108476348
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Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108476341 ISBN 13: 9781108476348
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Editore: Cambridge University Press, 2020
ISBN 10: 1108476341 ISBN 13: 9781108476348
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Lingua: Inglese
Editore: Cambridge University Press CUP, 2020
ISBN 10: 1108476341 ISBN 13: 9781108476348
Da: Books Puddle, New York, NY, U.S.A.
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EUR 132,46
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Aggiungi al carrelloHardcover. Condizione: Brand New. 3rd edition. 553 pages. 9.75x7.00x1.00 inches. In Stock.
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108476341 ISBN 13: 9781108476348
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 163,53
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Aggiungi al carrelloHardcover. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108476341 ISBN 13: 9781108476348
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Written by leading authorities in database and Web technologies, this book is essential reading for students and practitioners alike. The popularity of the Web and Internet commerce provides many extremely large datasets from which information can be gleaned by data mining. This book focuses on practical algorithms that have been used to solve key problems in data mining and can be applied successfully to even the largest datasets. It begins with a discussion of the MapReduce framework, an important tool for parallelizing algorithms automatically. The authors explain the tricks of locality-sensitive hashing and stream-processing algorithms for mining data that arrives too fast for exhaustive processing. Other chapters cover the PageRank idea and related tricks for organizing the Web, the problems of finding frequent itemsets, and clustering. This third edition includes new and extended coverage on decision trees, deep learning, and mining social-network graphs.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2020
ISBN 10: 1108476341 ISBN 13: 9781108476348
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 169,81
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Written by leading authorities in database and Web technologies, this book is essential reading for students and practitioners alike. The popularity of the Web and Internet commerce provides many extremely large datasets from which information can be gleaned by data mining. This book focuses on practical algorithms that have been used to solve key problems in data mining and can be applied successfully to even the largest datasets. It begins with a discussion of the MapReduce framework, an important tool for parallelizing algorithms automatically. The authors explain the tricks of locality-sensitive hashing and stream-processing algorithms for mining data that arrives too fast for exhaustive processing. Other chapters cover the PageRank idea and related tricks for organizing the Web, the problems of finding frequent itemsets, and clustering. This third edition includes new and extended coverage on decision trees, deep learning, and mining social-network graphs. Essential reading for students and practitioners, this book focuses on practical algorithms used to solve key problems in data mining, with exercises suitable for students from the advanced undergraduate level and beyond. This third edition includes new and extended coverage on decision trees, deep learning, and mining social-network graphs. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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EUR 87,86
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Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108476341 ISBN 13: 9781108476348
Da: Majestic Books, Hounslow, Regno Unito
EUR 134,95
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Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2020
ISBN 10: 1108476341 ISBN 13: 9781108476348
Da: CitiRetail, Stevenage, Regno Unito
EUR 98,46
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Written by leading authorities in database and Web technologies, this book is essential reading for students and practitioners alike. The popularity of the Web and Internet commerce provides many extremely large datasets from which information can be gleaned by data mining. This book focuses on practical algorithms that have been used to solve key problems in data mining and can be applied successfully to even the largest datasets. It begins with a discussion of the MapReduce framework, an important tool for parallelizing algorithms automatically. The authors explain the tricks of locality-sensitive hashing and stream-processing algorithms for mining data that arrives too fast for exhaustive processing. Other chapters cover the PageRank idea and related tricks for organizing the Web, the problems of finding frequent itemsets, and clustering. This third edition includes new and extended coverage on decision trees, deep learning, and mining social-network graphs. Essential reading for students and practitioners, this book focuses on practical algorithms used to solve key problems in data mining, with exercises suitable for students from the advanced undergraduate level and beyond. This third edition includes new and extended coverage on decision trees, deep learning, and mining social-network graphs. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108476341 ISBN 13: 9781108476348
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 137,36
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Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108476341 ISBN 13: 9781108476348
Da: moluna, Greven, Germania
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Essential reading for students and practitioners, this book focuses on practical algorithms used to solve key problems in data mining, with exercises suitable for students from the advanced undergraduate level and beyond. This third edition includes new and.
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108476341 ISBN 13: 9781108476348
Da: preigu, Osnabrück, Germania
EUR 102,95
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Aggiungi al carrelloBuch. Condizione: Neu. Mining of Massive Datasets | Jure Leskovec (u. a.) | Buch | Gebunden | Englisch | 2020 | Cambridge University Press | EAN 9781108476348 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.