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Research anthology on big data analytics, architectures, and applications

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Research anthology on big data analytics, architectures, and applications/ Information Resources Management Association.
出版者:	Hershey, PA :IGI Global, : 2022,
面頁冊數:	1 online resource (xli, 1988 p.)
標題:	Quantitative research. -
電子資源:	https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-3662-2
ISBN:	9781668436639 (set :ebk.)

Research anthology on big data analytics, architectures, and applications
Research anthology on big data analytics, architectures, and applications[electronic resource] /Information Resources Management Association. - Hershey, PA :IGI Global,2022 - 1 online resource (xli, 1988 p.) - Critical explorations.

Includes bibliographical references and index.

Overview of big data and its visualization / Richard S. Segall, Arkansas State University, USA, Gao Niu, Bryant University, USA -- Big data analytics and visualization of performance of stock exchange companies based on balanced scorecard indicators / Iman Raeesi Vanani, Allameh Tabataba'i University, Iran, Maziar Shiraj Kheiri, Allameh Tabataba'i University, Iran.

"This complete reference source on big data analytics that offers the latest, innovative architectures and frameworks, as well as explores a variety of applications within various industries offering an international perspective on a variety of topics such as advertising curricula, driven supply chain, and smart cities"--

ISBN: 9781668436639 (set :ebk.)

LCCN: 2021039213Subjects--Topical Terms:

635913
Quantitative research.

LC Class. No.: QA76.9.B45 / .R437 2022

Dewey Class. No.: 005.7

Research anthology on big data analytics, architectures, and applications
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300 $a 1 online resource (xli, 1988 p.)
490 0 $a Critical explorations
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505 2 $a Overview of big data and its visualization / Richard S. Segall, Arkansas State University, USA, Gao Niu, Bryant University, USA -- Big data analytics and visualization of performance of stock exchange companies based on balanced scorecard indicators / Iman Raeesi Vanani, Allameh Tabataba'i University, Iran, Maziar Shiraj Kheiri, Allameh Tabataba'i University, Iran.
520 $a "This complete reference source on big data analytics that offers the latest, innovative architectures and frameworks, as well as explores a variety of applications within various industries offering an international perspective on a variety of topics such as advertising curricula, driven supply chain, and smart cities"-- $c Provided by publisher.
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