Proceedings of International Conference on Computational Intelligence and Data Engineering: ICCIDE 2021

This book covers various topics in computational intelligence and data engineering, including collective intelligence, intelligent transportation systems, fuzzy systems, Bayesian network, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence, and speech processing. It is a collection of research papers from the ICCIDE 2021 conference.

Format: Paperback / softback
Length: 472 pages
Publication date: 01 March 2022
Publisher: Springer Verlag, Singapore

This comprehensive book delves into a wide range of topics, encompassing collective intelligence, intelligent transportation systems, fuzzy systems, Bayesian network, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence, and speech processing. It serves as a valuable resource for researchers, scholars, and professionals seeking to stay updated with the latest advancements in computational intelligence and data engineering.

The book is a compilation of exceptional research papers presented at the International Conference on Computational Intelligence and Data Engineering (ICCIDE 2021), showcasing the latest developments and breakthroughs in these fields. Each chapter is authored by renowned experts and researchers, ensuring the highest quality and relevance of the content.

Collective intelligence explores the concept of group intelligence, where individuals collaborate and share their knowledge to achieve common goals. It discusses various algorithms and models for collective intelligence, such as swarm intelligence, agent-based modeling, and social network analysis. Intelligent transportation systems focus on developing intelligent transportation systems that optimize traffic flow, reduce congestion, and improve safety. The book discusses various technologies and techniques, such as intelligent traffic management systems, autonomous vehicles, and real-time traffic information systems.

Fuzzy systems are a branch of mathematics that deals with the concept of uncertainty and imprecision. They are used in various applications, such as control systems, decision-making, and pattern recognition. The book explores the theory and applications of fuzzy systems, including fuzzy logic, fuzzy sets, and fuzzy control. Bayesian network is a probabilistic graphical model that represents the relationships between variables and their probabilities. It is used in various applications, such as medical diagnosis, weather forecasting, and financial analysis. The book discusses the theory and applications of Bayesian networks, including inference, learning, and optimization.

Ant colony optimization is a metaheuristic algorithm that mimics the behavior of ants to solve optimization problems. It is used in various applications, such as routing, scheduling, and search optimization. The book explores the theory and applications of ant colony optimization, including swarm intelligence, genetic algorithms, and optimization algorithms.

Data privacy and security are critical concerns in today's digital age. The book discusses various techniques and technologies for protecting data, such as encryption, access control, and identity management. It also addresses the legal and ethical implications of data privacy and security.

Data mining is the process of extracting valuable information from large datasets. The book discusses various techniques and algorithms for data mining, such as machine learning, statistical analysis, and data visualization. It also covers the application of data mining in various fields, such as healthcare, finance, and marketing.

Data warehousing is the process of storing and organizing large amounts of data in a centralized database. The book discusses various techniques and technologies for data warehousing, such as data modeling, data integration, and data visualization. It also covers the application of data warehousing in various fields, such as business intelligence, analytics, and decision-making.

Big data analytics is the process of analyzing large datasets using advanced analytical techniques. The book discusses various techniques and algorithms for big data analytics, such as machine learning, data mining, and data visualization. It also covers the application of big data analytics in various fields, such as healthcare, finance, and marketing.

Cloud computing is the delivery of computing services over the internet. The book discusses various technologies and services for cloud computing, such as virtual machines, storage, and networking. It also covers the application of cloud computing in various fields, such as software development, data storage, and analytics.

Natural language processing is the process of analyzing and understanding human language processing. The book discusses various techniques and algorithms for natural language processing, such as machine learning, statistical analysis, and data visualization. It also covers the application of natural language processing in various fields, such as healthcare, finance, and marketing.

Swarm intelligence is the behavior of groups of individuals who interact and cooperate to achieve common goals. The book discusses various techniques and algorithms for swarm intelligence, such as artificial intelligence, genetic algorithms, and optimization algorithms. It also covers the application of swarm intelligence in various fields, such as search and rescue, transportation, and logistics.

Speech processing is the process of converting spoken language into text. The book discusses various techniques and algorithms for speech processing, such as speech recognition, speech synthesis, and speech recognition. It also covers the application of speech processing in various fields, such as healthcare, finance, and marketing.

In conclusion, this comprehensive book is a valuable resource for researchers, scholars, and professionals seeking to stay updated with the latest advancements in computational intelligence and data engineering. It provides a deep understanding of the key technologies and applications in these fields, enabling readers to apply them in their research and practice. The book is a testament to the dedication and expertise of the authors and contributors, and it is sure to become a staple in the libraries of scholars and researchers around the world.

Weight: 735g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811671814
Edition number: 1st ed. 2022