Proceedings of World Conference on Information Systems for Business Management [electronic resource] : ISBM 2023, Volume 2 / edited by Andres Iglesias, Jungpil Shin, Bharat Patel, Amit Joshi.

Colaborador(es): Iglesias, Andres [editor.] | Shin, Jungpil [editor.] | Patel, Bharat [editor.] | Joshi, Amit [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Lecture Notes in Networks and Systems ; 834Editor: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edición: 1st ed. 2024Descripción: XVIII, 523 p. 152 illus., 112 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789819983490Tema(s): Computational intelligence | Artificial intelligence -- Data processing | Business information services | Computational Intelligence | Data Science | Business Information SystemsFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q342Recursos en línea: Libro electrónicoTexto
Contenidos:
Chapter 1: Information Systems Field: An Analysis Through a Bibliometric Methodology -- Chapter 2: Feature Extraction and Fusion Method for Detection and Classification of Gastrointestinal Diseases using Deep Learning Algorithms -- Chapter 3: Type-2 Diabetes Mellitus Prediction with Gut Microbes Using Machine Learning Through Shotgun Metagenomic Sequencing -- Chapter 4 PREDICTION OF DIABETICS USING HYBRID FEATURE SELECTION WITH KNN & ANN -- Chapter 5: A Systematic Review of the Relationship Between Supply Chain Risk Management and Sustainability -- Chapter 6: Development of Digital Heritage for Archaeovisit Tourism Resilience: Evidences from E-Lenggong Web Portal -- Chapter 7: Managing Information Leadership for Learning Performance: An Empirical Study among Public School Educators -- Chapter 8: Next Generation Technical Interview Process Automation with Multi-Level Interactive Chatbot based on Intelligent Techniques -- Chapter 9: FEATURE SELECTION USING ARTIFICIAL BEE COLONY AND DISCERNIBILITY MATRIX IN ROUGH SET THEORY- A HYBRID APPROACH -- Chapter 10: Advancing Fish Species Identification in Bangladesh: Deep Learning Approaches for Accurate Freshwater Fish Recognition. etc.
En: Springer Nature eBookResumen: This book includes selected papers presented at World Conference on Information Systems for Business Management (ISBM 2023), held in Bangkok, Thailand, during September 7-8, 2023. It covers up-to-date cutting-edge research on data science, information systems, infrastructure and computational systems, engineering systems, business information systems, and smart secure systems.
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Chapter 1: Information Systems Field: An Analysis Through a Bibliometric Methodology -- Chapter 2: Feature Extraction and Fusion Method for Detection and Classification of Gastrointestinal Diseases using Deep Learning Algorithms -- Chapter 3: Type-2 Diabetes Mellitus Prediction with Gut Microbes Using Machine Learning Through Shotgun Metagenomic Sequencing -- Chapter 4 PREDICTION OF DIABETICS USING HYBRID FEATURE SELECTION WITH KNN & ANN -- Chapter 5: A Systematic Review of the Relationship Between Supply Chain Risk Management and Sustainability -- Chapter 6: Development of Digital Heritage for Archaeovisit Tourism Resilience: Evidences from E-Lenggong Web Portal -- Chapter 7: Managing Information Leadership for Learning Performance: An Empirical Study among Public School Educators -- Chapter 8: Next Generation Technical Interview Process Automation with Multi-Level Interactive Chatbot based on Intelligent Techniques -- Chapter 9: FEATURE SELECTION USING ARTIFICIAL BEE COLONY AND DISCERNIBILITY MATRIX IN ROUGH SET THEORY- A HYBRID APPROACH -- Chapter 10: Advancing Fish Species Identification in Bangladesh: Deep Learning Approaches for Accurate Freshwater Fish Recognition. etc.

This book includes selected papers presented at World Conference on Information Systems for Business Management (ISBM 2023), held in Bangkok, Thailand, during September 7-8, 2023. It covers up-to-date cutting-edge research on data science, information systems, infrastructure and computational systems, engineering systems, business information systems, and smart secure systems.

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