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Record Nr. |
UNINA9910616207903321 |
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Titolo |
Digital Economy, Business Analytics, and Big Data Analytics Applications / / edited by Saad G. Yaseen |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
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ISBN |
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9783031052583 |
9783031052576 |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (723 pages) |
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Collana |
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Studies in Computational Intelligence, , 1860-9503 ; ; 1010 |
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Disciplina |
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Soggetti |
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Engineering - Data processing |
Computational intelligence |
Business information services |
Data Engineering |
Computational Intelligence |
IT in Business |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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 |
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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. |
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