Big data mining analytics de kudyba stephan (28 resultados)

Hardcover. Condición: Good. Book in Good condition.

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Paperback. Condición: 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.…

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Paperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.

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Condición: New. 1st edition NO-PA16APR2015-KAP.

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Condición: New. 2019. 1st Edition. paperback. . . . . .

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Paperback. Condición: 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.…

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Hardcover. Condición: Brand New. 288 pages. 9.49x6.26x0.94 inches. In Stock.

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Paperback. Condición: Brand New. reprint edition. 305 pages. 9.00x6.00x0.50 inches. In Stock.

Condición: New. 2019. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.

Condición: 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.

Gebunden. Condición: 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.

Condición: Hervorragend. Zustand: Hervorragend | Seiten: 326 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Buch. Condición: Neu. Neuware - 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 Analytics - Introduces text mining and the transforming of unstructured data into useful information - Examines real time wireless medical data acquisition for today's healthcare and data mining challenges - Presents the contributions of big data experts from academia and industry, including SAS - Highlights the most exciting emerging technologies for big data Filled 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.…

Hardcover. Condición: gut. 2014. Big Data, Mining, and Analytics In englischer Sprache. pages.