Business Intelligence (eBook, PDF)

8th International Conference, CBI 2023, Istanbul, Turkey, July 19-21, 2023, Proceedings
Redaktion: El Ayachi, Rachid; Baslam, Mohamed; Fakir, Mohamed

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the 8th International Conference on Business Intelligence, CBI 2023, which held in Istanbul, Turkey, during July 19-21, 2023.

The 15 full papers included in this book were carefully reviewed and selected from 50 submissions. They were organized in topical sections as follows: artificial intelligence and business intelligence; and optimization and decision support.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 221
• Erscheinungstermin: 11. Juli 2023
• Englisch
• ISBN-13: 9783031378720
• Artikelnr.: 68402986

Inhaltsangabe

Artificial Intelligence and Business Intelligence.- A business intelligence system for governing risks in SMEs.- A Systematic Analysis for Machine Learning Based Cow Price Prediction.- Deep learning models for cybersecurity in IoT networks.- Diabetes prediction by machine learning algorithms and risks factors.- Machine learning prediction of weather-induced road crash events for experienced and novice drivers: Insights from a driving simulator study.- Ontology-based Mediation with Quality Criteria.- Predicting driving license applicant's performance for Car Reverse Test System.- Optimization and Decision Support.- A Comparative Study on the implementation of Blockchain in Supply Chain Models.- A Hybrid Approach of Dijkstra's algorithm and A* search, with an optional adaptive threshold heuristic.- Causal Discovery and features importance analysis: What can be inferred about at-risk students?.- Computational features and applications of an inhomogeneous Gompertz diffusion process?.- Localization and Navigation of ROS-based Autonomous Robot in Hospital Environment.- Three-Phase Hybrid Evolutionary Algorithm for the Bi-Objective Travelling Salesman Problem.- Understanding Data Journalism Acceptance among Social TV Users: A Case Study of Twitter in the United Arab Emirates.- Unveiling the Performance Insights: Benchmarking Anomaly-Based Intrusion Detection Systems using Decision Tree Family Algorithms on the CICIDS2017 Dataset.