Computational Intelligence Data Analytics and Applications

This book PDF is perfect for those who love Technology & Engineering genre, written by Fausto Pedro García Márquez and published by Springer Nature which was released on 14 March 2023 with total hardcover pages 610. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Computational Intelligence Data Analytics and Applications books below.

Computational Intelligence Data Analytics and Applications

Author	: Fausto Pedro García Márquez
File Size	: 49,5 Mb
Publisher	: Springer Nature
Language	: English
Release Date	: 14 March 2023
ISBN	: 9783031270994
Pages	: 610 pages

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Computational Intelligence Data Analytics and Applications by Fausto Pedro García Márquez Book PDF Summary

This book is a compilation of accepted papers presented at the International Conference on Computing, Intelligence and Data Analytics (ICCIDA) in 2022 organized by Information Systems Engineering of the Kocaeli University, Turkey on September 16-17, 2022. The book highlights some of the latest research advances and cutting-edge analyses of real-world problems related to Computing, Intelligence and Data Analytics and their applications in various domains. This includes state of the art models and methods used on benchmark datasets.

Computational Intelligence Data Analytics and Applications by Fausto Pedro García Márquez,Akhtar Jamil,Süleyman Eken,Alaa Ali Hameed

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Data Analytics and Computational Intelligence Novel Models Algorithms and Applications by Gilberto Rivera,Laura Cruz-Reyes,Bernabé Dorronsoro,Alejandro Rosete

In the age of transformative artificial intelligence (AI), which has the potential to revolutionize our lives, this book provides a comprehensive exploration of successful research and applications in AI and data analytics. Covering innovative approaches, advanced algorithms, and data analysis methodologies, this book addresses complex problems across topics such as

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Computational Intelligence Applications in Business Intelligence and Big Data Analytics by Vijayan Sugumaran,Arun Kumar Sangaiah,Arunkumar Thangavelu

There are a number of books on computational intelligence (CI), but they tend to cover a broad range of CI paradigms and algorithms rather than provide an in-depth exploration in learning and adaptive mechanisms. This book sets its focus on CI based architectures, modeling, case studies and applications in big

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Computational Intelligence Systems and Applications by Marian B. Gorzalczany

Traditional Artificial Intelligence (AI) systems adopted symbolic processing as their main paradigm. Symbolic AI systems have proved effective in handling problems characterized by exact and complete knowledge representation. Unfortunately, these systems have very little power in dealing with imprecise, uncertain and incomplete data and information which significantly contribute to the

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Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications by Arun Kumar Sangaiah,Zhiyong Zhang,Michael Sheng

Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications covers timely topics, including the neural network (NN), particle swarm optimization (PSO), evolutionary algorithm (GA), fuzzy sets (FS) and rough sets (RS), etc. Furthermore, the book highlights recent research on representative techniques to elaborate how a data-centric system

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Computational Intelligence and Big Data Analytics by Ch Satyanarayana,Kunjam Nageswara Rao,Richard G. Bush

This book highlights major issues related to big data analysis using computational intelligence techniques, mostly interdisciplinary in nature. It comprises chapters on computational intelligence technologies, such as neural networks and learning algorithms, evolutionary computation, fuzzy systems and other emerging techniques in data science and big data, ranging from methodologies, theory

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Computational Intelligence Applications in Business Intelligence and Big Data Analytics by Vijayan Sugumaran

"There are a number of books on computational intelligence (CI), but they tend to cover a broad range of CI paradigms and algorithms rather than provide an in-depth exploration in learning and adaptive mechanisms. This book sets its focus on CI based architectures, modeling, case studies and applications in big

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Computational Intelligence for Big Data Analysis by D.P. Acharjya,Satchidananda Dehuri,Sugata Sanyal

The work presented in this book is a combination of theoretical advancements of big data analysis, cloud computing, and their potential applications in scientific computing. The theoretical advancements are supported with illustrative examples and its applications in handling real life problems. The applications are mostly undertaken from real life situations.

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