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| Author | : Uttam Ghosh |
| Publisher | : Springer Nature |
| Total Pages | : 411 |
| Release | : 2021-05-31 |
| Genre | : Technology & Engineering |
| ISBN | : 3030720659 |
Download Machine Intelligence and Data Analytics for Sustainable Future Smart Cities Book in PDF, ePub and Kindle
This book presents the latest advances in computational intelligence and data analytics for sustainable future smart cities. It focuses on computational intelligence and data analytics to bring together the smart city and sustainable city endeavors. It also discusses new models, practical solutions and technological advances related to the development and the transformation of cities through machine intelligence and big data models and techniques. This book is helpful for students and researchers as well as practitioners.
| Author | : Vijayan Sugumaran |
| Publisher | : CRC Press |
| Total Pages | : 362 |
| Release | : 2017-06-26 |
| Genre | : Computers |
| ISBN | : 1351720252 |
Download Computational Intelligence Applications in Business Intelligence and Big Data Analytics Book in PDF, ePub and Kindle
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 data analytics, and business intelligence. The intended audiences of this book are scientists, professionals, researchers, and academicians who deal with the new challenges and advances in the specific areas mentioned above. Designers and developers of applications in these areas can learn from other experts and colleagues through this book.
| Author | : Vallidevi Krishnamurthy |
| Publisher | : Springer Nature |
| Total Pages | : 229 |
| Release | : 2021-12-11 |
| Genre | : Computers |
| ISBN | : 3030926001 |
Download Computational Intelligence in Data Science Book in PDF, ePub and Kindle
This book constitutes the refereed post-conference proceedings of the Fourth IFIP TC 12 International Conference on Computational Intelligence in Data Science, ICCIDS 2021, held in Chennai, India, in March 2021. The 20 revised full papers presented were carefully reviewed and selected from 75 submissions. The papers cover topics such as computational intelligence for text analysis; computational intelligence for image and video analysis; blockchain and data science.
| Author | : Ting Yu |
| Publisher | : CRC Press |
| Total Pages | : 443 |
| Release | : 2016-04-19 |
| Genre | : Business & Economics |
| ISBN | : 1439895953 |
Download Computational Intelligent Data Analysis for Sustainable Development Book in PDF, ePub and Kindle
Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms that solve increasingly complex data problems in changing environments, including economic, environmental, and social data. Computational Intelligent Data Analysis for Sustainable Development present
| Author | : Ch. Satyanarayana |
| Publisher | : Springer |
| Total Pages | : 137 |
| Release | : 2018-09-08 |
| Genre | : Technology & Engineering |
| ISBN | : 9811305447 |
Download Computational Intelligence and Big Data Analytics Book in PDF, ePub and Kindle
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 and algorithms for handling big data, to their applications in bioinformatics and related disciplines. The book describes the latest solutions, scientific results and methods in solving intriguing problems in the fields of big data analytics, intelligent agents and computational intelligence. It reflects the state of the art research in the field and novel applications of new processing techniques in computer science. This book is useful to both doctoral students and researchers from computer science and engineering fields and bioinformatics related domains.
| Author | : Marian B. Gorzalczany |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 384 |
| Release | : 2001-12-14 |
| Genre | : Computers |
| ISBN | : 9783790814392 |
Download Computational Intelligence Systems and Applications Book in PDF, ePub and Kindle
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 description of many real world problems, both physical systems and processes as well as mechanisms of decision making. Moreover, there are many situations where the expert domain knowledge (the basis for many symbolic AI systems) is not sufficient for the design of intelligent systems, due to incompleteness of the existing knowledge, problems caused by different biases of human experts, difficulties in forming rules, etc. In general, problem knowledge for solving a given problem can consist of an explicit knowledge (e.g., heuristic rules provided by a domain an implicit, hidden knowledge "buried" in past-experience expert) and numerical data. A study of huge amounts of these data (collected in databases) and the synthesizing of the knowledge "encoded" in them (also referred to as knowledge discovery in data or data mining), can significantly improve the performance of the intelligent systems designed.
| Author | : Miltiadis Lytras |
| Publisher | : Academic Press |
| Total Pages | : 292 |
| Release | : 2021-10-22 |
| Genre | : Medical |
| ISBN | : 0128220627 |
Download Artificial Intelligence and Big Data Analytics for Smart Healthcare Book in PDF, ePub and Kindle
Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved in healthcare as they strive to enhance the value added of healthcare and develop more sustainable healthcare systems. It brings together insights from emerging sophisticated information and communication technologies such as big data analytics, artificial intelligence, machine learning, data science, medical intelligence, and, by dwelling on their current and prospective applications, highlights managerial and policymaking challenges they may generate. The book is split into five sections: big data infrastructure, framework and design for smart healthcare; signal processing techniques for smart healthcare applications; business analytics (descriptive, diagnostic, predictive and prescriptive) for smart healthcare; emerging tools and techniques for smart healthcare; and challenges (security, privacy, and policy) in big data for smart healthcare. The content is carefully developed to be understandable to different members of healthcare chain to leverage collaborations with researchers and industry. Presents a holistic discussion on the new landscape of data driven medical technologies including Big Data, Analytics, Artificial Intelligence, Machine Learning, and Precision Medicine Discusses such technologies with case study driven approach with reference to real world application and systems, to make easier the understanding to the reader not familiar with them Encompasses an international collaboration perspective, providing understandable knowledge to professionals involved with healthcare to leverage productive partnerships with technology developers
| Author | : Les Sztandera |
| Publisher | : Pearson Education |
| Total Pages | : 155 |
| Release | : 2014 |
| Genre | : Business & Economics |
| ISBN | : 013355208X |
Download Computational Intelligence in Business Analytics Book in PDF, ePub and Kindle
Using computational intelligence methods, you can drive far more value from business analytics, and account far more effectively for the real-world uncertainties and complexities you face in making key decisions. This text teaches you the computational intelligence concepts and methods you need to fully leverage these powerful techniques. This book illuminates today's key computational intelligence tools, knowledge, and strategies for analysis, exploration, and knowledge generation. This text demystifies artificial neural networks, genetic algorithms, and fuzzy systems, and guides you through using them to model, discover, and interpret new patterns that cannot be found through statistical methods alone. To demonstrate these techniques at work, this book is packed with relevant case studies and examples.
| Author | : Yulei Wu |
| Publisher | : CRC Press |
| Total Pages | : 530 |
| Release | : 2017-12-14 |
| Genre | : Computers |
| ISBN | : 1498784879 |
Download Big Data and Computational Intelligence in Networking Book in PDF, ePub and Kindle
This book presents state-of-the-art solutions to the theoretical and practical challenges stemming from the leverage of big data and its computational intelligence in supporting smart network operation, management, and optimization. In particular, the technical focus covers the comprehensive understanding of network big data, efficient collection and management of network big data, distributed and scalable online analytics for network big data, and emerging applications of network big data for computational intelligence.
| Author | : Fausto Pedro García Márquez |
| Publisher | : Springer Nature |
| Total Pages | : 610 |
| Release | : 2023-03-14 |
| Genre | : Technology & Engineering |
| ISBN | : 3031270991 |
Download Computational Intelligence, Data Analytics and Applications Book in PDF, ePub and Kindle
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.
