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Business intelligence and data analytics = proceedings of BIDA 2024 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Business intelligence and data analytics/ edited by Abhishek Verma, Justin Zhang, Avinash Chandra Pandey.
其他題名:	proceedings of BIDA 2024 /
其他題名:	BIDA 2024
其他作者:	Pandey, Avinash Chandra.
團體作者:	Workshop on the Preservation of Stability under Discretization
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	xviii, 769 p. :ill. (chiefly color), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Data Analysis and Big Data. -
電子資源:	https://doi.org/10.1007/978-981-97-7717-4
ISBN:	9789819777174

Business intelligence and data analytics = proceedings of BIDA 2024 /
Business intelligence and data analyticsproceedings of BIDA 2024 /[electronic resource] :BIDA 2024edited by Abhishek Verma, Justin Zhang, Avinash Chandra Pandey. - Singapore :Springer Nature Singapore :2025. - xviii, 769 p. :ill. (chiefly color), digital ;24 cm. - Smart innovation, systems and technologies,v. 4132190-3026 ;. - Smart innovation, systems and technologies ;16..

Impact of Artificial Intelligence on Healthcare Analytics Research: Emerging Themes and Research Trends -- Prospects for Predicting Coordinated Actions by Large Groups of Users Based on the Hierarchy of Activity in Social Networks -- The Role of Business Intelligence in Digital Transformation: A Review of Implementation Strategies -- Quantifying Non-Traditional Security Threats in Vietnam's Supply Chain Finance: A Z-Number Fuzzy MCDM Approach -- Prioritisation of Challenges in OTT Video Platforms: A Multi Criteria Decision Making Approach.

This book is a collection of the high-quality research articles presented at the International Conference on Business Intelligence and Data Analytics (BIDA 2024), organized by RV Institute of Management (RVIM), Bengaluru, India, during April 2024. The book covers state-of-the-art research articles from the researchers and practitioners working in the field of business intelligence, data analytics, decision support systems, data warehousing and data mining, big data analytics, predictive and prescriptive analytics, and machine learning for business applications and their real-world applications.

ISBN: 9789819777174

Standard No.: 10.1007/978-981-97-7717-4doiSubjects--Topical Terms:

1366136
Data Analysis and Big Data.

LC Class. No.: HD38.7

Dewey Class. No.: 658.472

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