Sprache: Englisch
Verlag: Morgan Kaufmann Publishers, 2015
ISBN 10: 0128005378 ISBN 13: 9780128005378
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Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
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In den WarenkorbZustand: New. pp. xviii + 235 Illus.
Zustand: Very good.
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In den WarenkorbPaperback. Zustand: Brand New. 1st edition. 256 pages. 9.00x7.25x0.50 inches. In Stock.
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In den WarenkorbZustand: New. 336.
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Sprache: Englisch
Verlag: Business Science Reference, 2013
ISBN 10: 1466648929 ISBN 13: 9781466648920
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Entity Information Life Cycle for Big Data | Master Data Management and Information Integration | John R. Talburt (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2015 | Morgan Kaufmann | EAN 9780128005378 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 128,33
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In den WarenkorbZustand: New. pp. 480 13:B&W 8.5 x 11 in or 280 x 216 mm Case Laminate on White w/Gloss Lam.
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hardcover. Zustand: Sehr gut. 464 Seiten; 9781441901750.2 Gewicht in Gramm: 4.
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Taschenbuch. Zustand: Neu. Data Engineering | Mining, Information and Intelligence | Yupo Chan (u. a.) | Taschenbuch | International Series in Operations Research & Management Science | xvii | Englisch | 2012 | Springer | EAN 9781461424765 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - DATA ENGINEERING: Mining, Information, and Intelligence describes applied research aimed at the task of collecting data and distilling useful information from that data. Most of the work presented emanates from research completed through collaborations between Acxiom Corporation and its academic research partners under the aegis of the Acxiom Laboratory for Applied Research (ALAR). Chapters are roughly ordered to follow the logical sequence of the transformation of data from raw input data streams to refined information. Four discrete sections cover Data Integration and Information Quality; Grid Computing; Data Mining; and Visualization. Additionally, there are exercises at the end of each chapter.The primary audience for this book is the broad base of anyone interested in data engineering, whether from academia, market research firms, or business-intelligence companies. The volume is ideally suited for researchers, practitioners, and postgraduate students alike. With its focus on problems arising from industry rather than a basic research perspective, combined with its intelligent organization, extensive references, and subject and author indices, it can serve the academic, research, and industrial audiences.
Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 447 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
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EUR 181,08
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In den WarenkorbZustand: New. In.
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - DATA ENGINEERING: Mining, Information, and Intelligence describes applied research aimed at the task of collecting data and distilling useful information from that data. Most of the work presented emanates from research completed through collaborations between Acxiom Corporation and its academic research partners under the aegis of the Acxiom Laboratory for Applied Research (ALAR). Chapters are roughly ordered to follow the logical sequence of the transformation of data from raw input data streams to refined information. Four discrete sections cover Data Integration and Information Quality; Grid Computing; Data Mining; and Visualization. Additionally, there are exercises at the end of each chapter.The primary audience for this book is the broad base of anyone interested in data engineering, whether from academia, market research firms, or business-intelligence companies. The volume is ideally suited for researchers, practitioners, and postgraduate students alike. With its focus on problems arising from industry rather than a basic research perspective, combined with its intelligent organization, extensive references, and subject and author indices, it can serve the academic, research, and industrial audiences.
Sprache: Englisch
Verlag: Business Science Reference, 2013
ISBN 10: 1466648929 ISBN 13: 9781466648920
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 233,11
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In den WarenkorbZustand: New. In.