Holdings: Data Analytics for Management, Banking and Finance

Data Analytics for Management, Banking and Finance: Theories and Application

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Bibliographic Details
Other Authors:	Saâdaoui, Foued (Editor), Zhao, Yichuan (Editor), Rabbouch, Hana (Editor)
Format:	Electronic eBook
Language:	English
Published:	Cham Springer Nature Switzerland 2023 Cham Springer
Edition:	1st ed. 2023
Subjects:	Statistics in Business, Management, Economics, Finance, Insurance Data Mining and Knowledge Discovery Big Data Statistics Data mining Big data
Online Access:	BTU01 FHD01 FHN01 FHR01 FRO01 FWS01 FWS02 HTW01 TUM01 UBM01 UBT01 UBW01 UBY01 UEI01 UPA01 Volltext
Physical Description:	1 Online-Ressource (XIV, 334 p. 52 illus., 45 illus. in color)
ISBN:	9783031365706
DOI:	10.1007/978-3-031-36570-6

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indexdate	2025-02-20T06:40:27Z
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isbn	9783031365706
language	English
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spellingShingle	Data Analytics for Management, Banking and Finance Theories and Application Statistics in Business, Management, Economics, Finance, Insurance Data Mining and Knowledge Discovery Big Data Statistics Data mining Big data
title	Data Analytics for Management, Banking and Finance Theories and Application
title_auth	Data Analytics for Management, Banking and Finance Theories and Application
title_exact_search	Data Analytics for Management, Banking and Finance Theories and Application
title_exact_search_txtP	Data Analytics for Management, Banking and Finance Theories and Application
title_full	Data Analytics for Management, Banking and Finance Theories and Application edited by Foued Saâdaoui, Yichuan Zhao, Hana Rabbouch
title_fullStr	Data Analytics for Management, Banking and Finance Theories and Application edited by Foued Saâdaoui, Yichuan Zhao, Hana Rabbouch
title_full_unstemmed	Data Analytics for Management, Banking and Finance Theories and Application edited by Foued Saâdaoui, Yichuan Zhao, Hana Rabbouch
title_short	Data Analytics for Management, Banking and Finance
title_sort	data analytics for management banking and finance theories and application
title_sub	Theories and Application
topic	Statistics in Business, Management, Economics, Finance, Insurance Data Mining and Knowledge Discovery Big Data Statistics Data mining Big data
topic_facet	Statistics in Business, Management, Economics, Finance, Insurance Data Mining and Knowledge Discovery Big Data Statistics Data mining Big data
url	https://doi.org/10.1007/978-3-031-36570-6
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