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Digital economy, business analytics, and big data analytics applications

Record Type:	Electronic resources : Monograph/item
Title/Author:	Digital economy, business analytics, and big data analytics applicationsedited by Saad G. Yaseen.
other author:	Yaseen, Saad G.
Published:	Cham :Springer International Publishing :2022.
Description:	xii, 739 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Information technologyEconomic aspects.
Online resource:	https://doi.org/10.1007/978-3-031-05258-3
ISBN:	9783031052583$q(electronic bk.)

Digital economy, business analytics, and big data analytics applications
Digital economy, business analytics, and big data analytics applications[electronic resource] /edited by Saad G. Yaseen. - Cham :Springer International Publishing :2022. - xii, 739 p. :ill., digital ;24 cm. - Studies in computational intelligence,v. 10101860-9503 ;. - Studies in computational intelligence ;v. 216..

Digital Image Processing for Remote Sensing of the Earth's Surface -- Predictive analysis of energy use based on some forecasting models -- Digital Image Processing for Remote Sensing of the Earth's Surface -- Factors Affecting Student Satisfaction Towards Online Teaching: A Machine Learning Approach -- Firm's Sharia-compliant Status, Cross-sectional Returns, and Malaysian Cross-border Acquisition -- On the Boundary Between Rest Time and Working Hours in a Digital Environment.

This book is about turning data into smart decisions, knowledge into wisdom and business into business intelligence and insight. It explores diverse paradigms, methodologies, models, tools and techniques of the emerging knowledge domain of digitalized business analytics applications. The book covers almost every crucial aspect of applied artificial intelligence in business, smart mobile and digital services in business administration, marketing, accounting, logistics, finance and IT management. This book aids researchers, practitioners and decisions makers to gain enough knowledge and insight on how to effectively leverage data into competitive intelligence.

ISBN: 9783031052583$q(electronic bk.)

Standard No.: 10.1007/978-3-031-05258-3doiSubjects--Topical Terms:

201206
Information technology
--Economic aspects.

LC Class. No.: HC79.I55 / D54 2022

Dewey Class. No.: 658.4

Digital economy, business analytics, and big data analytics applications
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505 0 $a Digital Image Processing for Remote Sensing of the Earth's Surface -- Predictive analysis of energy use based on some forecasting models -- Digital Image Processing for Remote Sensing of the Earth's Surface -- Factors Affecting Student Satisfaction Towards Online Teaching: A Machine Learning Approach -- Firm's Sharia-compliant Status, Cross-sectional Returns, and Malaysian Cross-border Acquisition -- On the Boundary Between Rest Time and Working Hours in a Digital Environment.
520 $a This book is about turning data into smart decisions, knowledge into wisdom and business into business intelligence and insight. It explores diverse paradigms, methodologies, models, tools and techniques of the emerging knowledge domain of digitalized business analytics applications. The book covers almost every crucial aspect of applied artificial intelligence in business, smart mobile and digital services in business administration, marketing, accounting, logistics, finance and IT management. This book aids researchers, practitioners and decisions makers to gain enough knowledge and insight on how to effectively leverage data into competitive intelligence.
650 0 $a Information technology $x Economic aspects. $3 201206
650 0 $a Business intelligence. $3 202057
650 0 $a Business enterprises $x Data processing. $3 246238
650 0 $a Big data. $3 609582
650 1 4 $a Data Engineering. $3 839346
650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a IT in Business. $3 703717
700 1 $a Yaseen, Saad G. $3 935873
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950 $a Intelligent Technologies and Robotics (SpringerNature-42732)