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New Perspectives on Enterprise Decision-Making Applying Artificial Intelligence Techniques de Julian Andres Zapata-Cortes

New Perspectives on Enterprise Decision-Making Applying Artificial Intelligence Techniques: Studies in Computational Intelligence, cartea 966

Editat de Julian Andres Zapata-Cortes, Giner Alor-Hernández, Cuauhtémoc Sánchez-Ramírez, Jorge Luis García-Alcaraz
en Limba Engleză Paperback – 9 iun 2022
This book presents different techniques and methodologies that used to help improve the decision-making process and increase the likelihood of success in sector as follows: agriculture, financial services, logistics, energy services, health and others. 
This book collects and consolidates innovative and high-quality research contributions regarding the implementation techniques and methodologies applied in different industrial sectors. The scope is to disseminate current trends knowledge in the implementation of artificial intelligence techniques and methodologies in different fields as follows: supply chain, business intelligence, e-commerce, social media and others. The book contents are useful for Ph.D., Ph.D. students, master and undergraduate students, and professional and students in industrial engineering, computer science, information systems, data analytics and others.  
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Specificații

ISBN-13: 9783030711177
ISBN-10: 303071117X
Pagini: 508
Ilustrații: XXXVIII, 508 p. 229 illus., 180 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.76 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Cham, Switzerland

Cuprins

Part I: Industrial Applications: Merging event logs for inter-organizational process mining.- Towards Association Rule-based Item Selection Strategy in Computerized Adaptive Testing.- Uncertainty linguistic summarizer to evaluate the performance of investment funds.- Map-Bot: mapping model of indoor work environments in mobile robotics.- Production Analysis of the Beekeeping Chain in Vichada, Colombia. A System Dynamics Approach.- Effect of TPM and OEE on the Social performance of companies.- ENERMONGRID: Intelligent Energy Monitoring, Visualization and Fraud Detection for Smart Grids.- Part II: Decision-Making Systems for Industry.- Measuring violence levels in Mexico through tweets.- Technology transfer from a tacit knowledge conservation model into explicit knowledge in the field of data envelopment analysis.- Performance Analysis of Decision Aid Mechanisms for Hardware Bots based on ELECTRE III and Compensatory Fuzzy Logic.- A brief review of performance and interpretability in fuzzy inference systems.- Quality and Human Resources, Two JIT Critical Success Factors.- Operational Risks Management in the Reverse Logistics of Lead-acid Batteries.- Dynamic evaluation of livestock feed supply chain from the use of ethanol vinasses.- Part III: Artificial Intelligence Techniques.- Comparative Analysis of Decision Tree Algorithms for Data Warehouse Fragmentation.- Data Analytics in Financial Portfolio Recovery Management.- Task thesaurus as a tool for modeling of user information needs.- NHC_MDynamics: High-troughput tools for simulations of complex fluids using Nosé-Hoover chains and Big Data Analytics.- Determination of competitive management perception in family business leaders using data mining.- A genetic algorithm for solving the inventory routing problem with time windows.- Emotion Detection from Text in Learning Environments: A Review.

Textul de pe ultima copertă

This book presents different techniques and methodologies that used to help improve the decision-making process and increase the likelihood of success in sector as follows: agriculture, financial services, logistics, energy services, health and others. 
This book collects and consolidates innovative and high-quality research contributions regarding the implementation techniques and methodologies applied in different industrial sectors. The scope is to disseminate current trends knowledge in the implementation of artificial intelligence techniques and methodologies in different fields as follows: supply chain, business intelligence, e-commerce, social media and others. The book contents are useful for Ph.D., Ph.D. students, master and undergraduate students, and professional and students in industrial engineering, computer science, information systems, data analytics and others.  

Caracteristici

Collects and consolidates innovative and high-quality research contributions regarding Enterprise Decision-Making applying Artificial Intelligence Techniques Provides insights on the recent advances in Enterprise Decision-Making Applying Artificial Intelligence Techniques Includes theoretical foundations, models, experimental research, and case studies for developing Intelligent Systems for Enterprise Decision-Making