Published by Auerbach Publications, 2014
ISBN 10: 1466568704 ISBN 13: 9781466568709
Language: English
Seller: Basi6 International, Irving, TX, U.S.A.
Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Published by Auerbach Publications, 2014
ISBN 10: 1466568704 ISBN 13: 9781466568709
Language: English
Seller: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condition: 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.
Published by Taylor & Francis Ltd, London, 2019
ISBN 10: 0367378817 ISBN 13: 9780367378813
Language: English
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: new. Paperback. There is an ongoing data explosion transpiring that will make previous creations, collections, and storage of data look trivial. Big Data, Mining, and Analytics: Components of Strategic Decision Making ties together big data, data mining, and analytics to explain how readers can leverage them to extract valuable insights from their data. Facilitating a clear understanding of big data, it supplies authoritative insights from expert contributors into leveraging data resources, including big data, to improve decision making. Illustrating basic approaches of business intelligence to the more complex methods of data and text mining, the book guides readers through the process of extracting valuable knowledge from the varieties of data currently being generated in the brick and mortar and internet environments. It considers the broad spectrum of analytics approaches for decision making, including dashboards, OLAP cubes, data mining, and text mining.Includes a foreword by Thomas H. Davenport, Distinguished Professor, Babson College; Fellow, MIT Center for Digital Business; and Co-Founder, International Institute for AnalyticsIntroduces text mining and the transforming of unstructured data into useful informationExamines real time wireless medical data acquisition for todays healthcare and data mining challengesPresents the contributions of big data experts from academia and industry, including SASHighlights the most exciting emerging technologies for big dataFilled with examples that illustrate the value of analytics throughout, the book outlines a conceptual framework for data modeling that can help you immediately improve your own analytics and decision-making processes. It also provides in-depth coverage of analyzing unstructured data with text mining methods. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Auerbach Publications, 2014
ISBN 10: 1466568704 ISBN 13: 9781466568709
Language: English
Seller: ALLBOOKS1, Direk, SA, Australia
Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
Published by Auerbach Publications, 2019
ISBN 10: 0367378817 ISBN 13: 9780367378813
Language: English
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New.
Published by Auerbach Publications, 2014
ISBN 10: 1466568704 ISBN 13: 9781466568709
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Published by Auerbach Publications, 2019
ISBN 10: 0367378817 ISBN 13: 9780367378813
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Published by Auerbach Publications, 2019
ISBN 10: 0367378817 ISBN 13: 9780367378813
Language: English
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. 1st edition NO-PA16APR2015-KAP.
Published by Taylor & Francis Ltd, 2019
ISBN 10: 0367378817 ISBN 13: 9780367378813
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 185.
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 288 pages. 9.49x6.26x0.94 inches. In Stock.
Published by Auerbach Publications, 2019
ISBN 10: 0367378817 ISBN 13: 9780367378813
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Published by Auerbach Publications, 2014
ISBN 10: 1466568704 ISBN 13: 9781466568709
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Published by Taylor & Francis Ltd, 2014
ISBN 10: 1466568704 ISBN 13: 9781466568709
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Hardback. Condition: New. New copy - Usually dispatched within 4 working days.
Published by Auerbach Publications, 2019
ISBN 10: 0367378817 ISBN 13: 9780367378813
Language: English
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New.
Published by Taylor & Francis Ltd, London, 2019
ISBN 10: 0367378817 ISBN 13: 9780367378813
Language: English
Seller: AussieBookSeller, Truganina, VIC, Australia
Paperback. Condition: new. Paperback. There is an ongoing data explosion transpiring that will make previous creations, collections, and storage of data look trivial. Big Data, Mining, and Analytics: Components of Strategic Decision Making ties together big data, data mining, and analytics to explain how readers can leverage them to extract valuable insights from their data. Facilitating a clear understanding of big data, it supplies authoritative insights from expert contributors into leveraging data resources, including big data, to improve decision making. Illustrating basic approaches of business intelligence to the more complex methods of data and text mining, the book guides readers through the process of extracting valuable knowledge from the varieties of data currently being generated in the brick and mortar and internet environments. It considers the broad spectrum of analytics approaches for decision making, including dashboards, OLAP cubes, data mining, and text mining.Includes a foreword by Thomas H. Davenport, Distinguished Professor, Babson College; Fellow, MIT Center for Digital Business; and Co-Founder, International Institute for AnalyticsIntroduces text mining and the transforming of unstructured data into useful informationExamines real time wireless medical data acquisition for todays healthcare and data mining challengesPresents the contributions of big data experts from academia and industry, including SASHighlights the most exciting emerging technologies for big dataFilled with examples that illustrate the value of analytics throughout, the book outlines a conceptual framework for data modeling that can help you immediately improve your own analytics and decision-making processes. It also provides in-depth coverage of analyzing unstructured data with text mining methods. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Condition: New. Stephan Kudyba has developed computerized models for trading financial markets in the investment banking industry and has provided Business Intelligence based solutions involving data mining applications for organizations across industry.
Seller: moluna, Greven, Germany
Condition: New. Stephan Kudyba has developed computerized models for trading financial markets in the investment banking industry and has provided Business Intelligence based solutions involving data mining applications for organizations across industry.
Published by Taylor & Francis Ltd, 2019
ISBN 10: 0367378817 ISBN 13: 9780367378813
Language: English
Seller: Buchpark, Trebbin, Germany
Condition: Hervorragend. Zustand: Hervorragend | Seiten: 325 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Neuware - This book ties together big data, data mining, and analytics to explain how readers can leverage them to transform their business strategy. Illustrating basic approaches of business intelligence to data and text mining, the book guides readers through the process of extracting valuable knowledge from the varieties of data currently being generated in the brick and mortar and Internet environments. It considers the broad spectrum of analytics approaches for decision making, including dashboards, OLAP cubes, data mining, and text mining.