michelle galea (24 risultati)

Paperback. Condizione: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Paperback. Condizione: Very Good. Palazzo Falson - Historic House Museum This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .

Paperback. Condizione: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.

Hardcover. Condizione: Near Fine. Condizione sovraccoperta: No Dust Jacket. Light edgewear. ; Wiley Series on Parallel and Distributed Computing; 9.37 X 6.14 X 1.18 inches; 543 pages.

Condizione: Very good.

In 8° 87 pp., colour illustrations. English language. Ex libris. Softcover, fine. All books are in stock in fine condition or described meticulously. Very safe packaging.

Condizione: New.

Condizione: New.

Hardcover. Condizione: new. Hardcover. Complete guidance for mastering the tools and techniques of the digital revolution With the digital revolution opening up tremendous opportunities in many fields, there is a growing need for skilled professionals who can develop data-intensive systems and extract information and knowledge from them. This book frames for the first time a new systematic approach for tackling the challenges of data-intensive computing, providing decision makers and technical experts alike with practical tools for dealing with our exploding data collections. Emphasizing data-intensive thinking and interdisciplinary collaboration, The Data Bonanza: Improving Knowledge Discovery in Science, Engineering, and Business examines the essential components of knowledge discovery, surveys many of the current research efforts worldwide, and points to new areas for innovation. Complete with a wealth of examples and DISPEL-based methods demonstrating how to gain more from data in real-world systems, the book: Outlines the concepts and rationale for implementing data-intensive computing in organizationsCovers from the ground up problem-solving strategies for data analysis in a data-rich worldIntroduces techniques for data-intensive engineering using the Data-Intensive Systems Process Engineering Language DISPELFeatures in-depth case studies in customer relations, environmental hazards, seismology, and moreShowcases successful applications in areas ranging from astronomy and the humanities to transport engineeringIncludes sample program snippets throughout the text as well as additional materials on a companion website The Data Bonanza is a must-have guide for information strategists, data analysts, and engineers in business, research, and government, and for anyone wishing to be on the cutting edge of data mining, machine learning, databases, distributed systems, or large-scale computing. This book presents the most up-to-date opportunities and challenges emerging in knowledge discovery, helping readers develop the technical skills to design and develop data-intensive methods and processes. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: New.

Hardcover. Condizione: New.

Condizione: New. pp. 576.

Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.

Condizione: New. This book presents the most up-to-date opportunities and challenges emerging in knowledge discovery, helping readers develop the technical skills to design and develop data-intensive methods and processes. Editor(s): Atkinson, Malcolm; Baxter, Rob; Brezany, Peter; Corcho, Oscar; Galea, Michelle; Parsons, Mark; Snelling, David; Van Hemert, Jano. Series: Wiley Series on Parallel and Distributed Computing. Num Pages: 576 pages, black & white illustrations, colour illustrations, black & white line drawings, colour li. BIC Classification: UYQE. Category: (P) Professional & Vocational. Dimension: 242 x 163 x 31. Weight in Grams: 1098. . 2013. 1st Edition. Hardcover. . . . .

Hardcover. Condizione: new. Hardcover. Complete guidance for mastering the tools and techniques of the digital revolution With the digital revolution opening up tremendous opportunities in many fields, there is a growing need for skilled professionals who can develop data-intensive systems and extract information and knowledge from them. This book frames for the first time a new systematic approach for tackling the challenges of data-intensive computing, providing decision makers and technical experts alike with practical tools for dealing with our exploding data collections. Emphasizing data-intensive thinking and interdisciplinary collaboration, The Data Bonanza: Improving Knowledge Discovery in Science, Engineering, and Business examines the essential components of knowledge discovery, surveys many of the current research efforts worldwide, and points to new areas for innovation. Complete with a wealth of examples and DISPEL-based methods demonstrating how to gain more from data in real-world systems, the book: Outlines the concepts and rationale for implementing data-intensive computing in organizationsCovers from the ground up problem-solving strategies for data analysis in a data-rich worldIntroduces techniques for data-intensive engineering using the Data-Intensive Systems Process Engineering Language DISPELFeatures in-depth case studies in customer relations, environmental hazards, seismology, and moreShowcases successful applications in areas ranging from astronomy and the humanities to transport engineeringIncludes sample program snippets throughout the text as well as additional materials on a companion website The Data Bonanza is a must-have guide for information strategists, data analysts, and engineers in business, research, and government, and for anyone wishing to be on the cutting edge of data mining, machine learning, databases, distributed systems, or large-scale computing. This book presents the most up-to-date opportunities and challenges emerging in knowledge discovery, helping readers develop the technical skills to design and develop data-intensive methods and processes. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condizione: As New. Unread book in perfect condition.

Hardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condizione: As New. Unread book in perfect condition.

Condizione: New. MALCOLM ATKINSON, PhD, is Professor of e-Science in the School of Informatics at the University of Edinburgh in Scotland. He is also Data-Intensive Research Group leader, Director of the e-Science Institute, IT architect for the ADMIRE and VERCE EU projects.

Hardcover. Condizione: Brand New. 1st edition. 576 pages. 9.60x6.40x1.20 inches. In Stock.

Condizione: New. This book presents the most up-to-date opportunities and challenges emerging in knowledge discovery, helping readers develop the technical skills to design and develop data-intensive methods and processes. Editor(s): Atkinson, Malcolm; Baxter, Rob; Brezany, Peter; Corcho, Oscar; Galea, Michelle; Parsons, Mark; Snelling, David; Van Hemert, Jano. Series: Wiley Series on Parallel and Distributed Computing. Num Pages: 576 pages, black & white illustrations, colour illustrations, black & white line drawings, colour li. BIC Classification: UYQE. Category: (P) Professional & Vocational. Dimension: 242 x 163 x 31. Weight in Grams: 1098. . 2013. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Hardcover. Condizione: new. Hardcover. Complete guidance for mastering the tools and techniques of the digital revolution With the digital revolution opening up tremendous opportunities in many fields, there is a growing need for skilled professionals who can develop data-intensive systems and extract information and knowledge from them. This book frames for the first time a new systematic approach for tackling the challenges of data-intensive computing, providing decision makers and technical experts alike with practical tools for dealing with our exploding data collections. Emphasizing data-intensive thinking and interdisciplinary collaboration, The Data Bonanza: Improving Knowledge Discovery in Science, Engineering, and Business examines the essential components of knowledge discovery, surveys many of the current research efforts worldwide, and points to new areas for innovation. Complete with a wealth of examples and DISPEL-based methods demonstrating how to gain more from data in real-world systems, the book: Outlines the concepts and rationale for implementing data-intensive computing in organizationsCovers from the ground up problem-solving strategies for data analysis in a data-rich worldIntroduces techniques for data-intensive engineering using the Data-Intensive Systems Process Engineering Language DISPELFeatures in-depth case studies in customer relations, environmental hazards, seismology, and moreShowcases successful applications in areas ranging from astronomy and the humanities to transport engineeringIncludes sample program snippets throughout the text as well as additional materials on a companion website The Data Bonanza is a must-have guide for information strategists, data analysts, and engineers in business, research, and government, and for anyone wishing to be on the cutting edge of data mining, machine learning, databases, distributed systems, or large-scale computing. This book presents the most up-to-date opportunities and challenges emerging in knowledge discovery, helping readers develop the technical skills to design and develop data-intensive methods and processes. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Buch. Condizione: Neu. Neuware - Complete guidance for mastering the tools and techniques of the digital revolutionWith the digital revolution opening up tremendous opportunities in many fields, there is a growing need for skilled professionals who can develop data-intensive systems and extract information and knowledge from them. This book frames for the first time a new systematic approach for tackling the challenges of data-intensive computing, providing decision makers and technical experts alike with practical tools for dealing with our exploding data collections.Emphasizing data-intensive thinking and interdisciplinary collaboration, The Data Bonanza: Improving Knowledge Discovery in Science, Engineering, and Business examines the essential components of knowledge discovery, surveys many of the current research efforts worldwide, and points to new areas for innovation. Complete with a wealth of examples and DISPEL-based methods demonstrating how to gain more from data in real-world systems, the book:\* Outlines the concepts and rationale for implementing data-intensive computing in organizations\* Covers from the ground up problem-solving strategies for data analysis in a data-rich world\* Introduces techniques for data-intensive engineering using the Data-Intensive Systems Process Engineering Language DISPEL\* Features in-depth case studies in customer relations, environmental hazards, seismology, and more\* Showcases successful applications in areas ranging from astronomy and the humanities to transport engineering\* Includes sample program snippets throughout the text as well as additional materials on a companion websiteThe Data Bonanza is a must-have guide for information strategists, data analysts, and engineers in business, research, and government, and for anyone wishing to be on the cutting edge of data mining, machine learning, databases, distributed systems, or large-scale computing.

Soft Cover. Condizione: Good. First published. Wignacourt Museum. Malta. 2016. De 21x21 cm. Com 108 págs. Brochado. Ilustrado no texto a preto e branco e a cores. Language: Inglês / English Location/localizacao: SACO MA613-08.