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1. |
Record Nr. |
UNINA9910481805803321 |
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Autore |
Lindeberg Peter <1562-1596.> |
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Titolo |
Hypotyposis arcium, palatiorum, librorum, pyramidum, obeliscorum, cipporum, molarum, fontium, monumentorum & epitaphiorum ab ... Henrico Ranzovio ... conditorum ... conscripta et edita à Petro Lindebergio, Rost [[electronic resource]] |
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Pubbl/distr/stampa |
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Frankfurt am Main, : Joannem Wechelum, 1592 |
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Descrizione fisica |
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Online resource (271 s. ill.) |
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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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Note generali |
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Reproduction of original in Det Kongelige Bibliotek / The Royal Library (Copenhagen). |
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2. |
Record Nr. |
UNINA9910983302503321 |
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Autore |
Verma Abhishek |
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Titolo |
Business Intelligence and Data Analytics : Proceedings of BIDA 2024 / / edited by Abhishek Verma, Justin Zhang, Avinash Chandra Pandey |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (1004 pages) |
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Collana |
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Smart Innovation, Systems and Technologies, , 2190-3026 ; ; 413 |
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Altri autori (Persone) |
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ZhangJustin |
Chandra PandeyAvinash |
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Disciplina |
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Soggetti |
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Computational intelligence |
Business - Data processing |
Quantitative research |
Computational Intelligence |
Business Informatics |
Data Analysis and Big Data |
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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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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. |
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Sommario/riassunto |
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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. |
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