Intelligent Data Engineering and Analytics
Title | Intelligent Data Engineering and Analytics PDF eBook |
Author | Suresh Chandra Satapathy |
Publisher | Springer Nature |
Total Pages | 758 |
Release | 2020-08-29 |
Genre | Technology & Engineering |
ISBN | 9811556792 |
This book gathers the proceedings of the 8th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2020), held at NIT Surathkal, Karnataka, India, on 4–5 January 2020. In these proceedings, researchers, scientists, engineers and practitioners share new ideas and lessons learned in the field of intelligent computing theories with prospective applications in various engineering disciplines. The respective papers cover broad areas of the information and decision sciences, and explore both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols and architectures. Given its scope, the book offers a valuable resource for graduate students in various engineering disciplines.
Intelligent Data Analysis
Title | Intelligent Data Analysis PDF eBook |
Author | Deepak Gupta |
Publisher | John Wiley & Sons |
Total Pages | 428 |
Release | 2020-07-13 |
Genre | Technology & Engineering |
ISBN | 1119544459 |
This book focuses on methods and tools for intelligent data analysis, aimed at narrowing the increasing gap between data gathering and data comprehension, and emphasis will also be given to solving of problems which result from automated data collection, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and so on. This book aims to describe the different approaches of Intelligent Data Analysis from a practical point of view: solving common life problems with data analysis tools.
Intelligent Data Analysis
Title | Intelligent Data Analysis PDF eBook |
Author | Michael R. Berthold |
Publisher | Springer |
Total Pages | 515 |
Release | 2007-06-07 |
Genre | Computers |
ISBN | 3540486259 |
This second and revised edition contains a detailed introduction to the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete coverage of the core issues. The first half of the book is devoted to the discussion of classical statistical issues. The following chapters concentrate on machine learning and artificial intelligence, rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a chapter on visualization and an advanced overview of IDA processes.
Intelligent Data Engineering and Automated Learning – IDEAL 2017
Title | Intelligent Data Engineering and Automated Learning – IDEAL 2017 PDF eBook |
Author | Hujun Yin |
Publisher | Springer |
Total Pages | 0 |
Release | 2017-10-06 |
Genre | Computers |
ISBN | 9783319689340 |
This book constitutes the refereed proceedings of the 18th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2017, held in Guilin, China, in October/November 2017. The 65 full papers presented were carefully reviewed and selected from 110 submissions. These papers provided a sample of latest research outcomes in data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, deep learning neural networks, probabilistic modelling, particle swarm intelligence, big data analytics, and applications in image recognition, regression, classification, clustering, medical and biological modelling and prediction, text processing and social media analysis.
Intelligent Data Engineering and Automated Learning – IDEAL 2018
Title | Intelligent Data Engineering and Automated Learning – IDEAL 2018 PDF eBook |
Author | Hujun Yin |
Publisher | Springer |
Total Pages | 0 |
Release | 2018-11-09 |
Genre | Computers |
ISBN | 9783030034955 |
This two-volume set LNCS 11314 and 11315 constitutes the thoroughly refereed conference proceedings of the 19th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2018, held in Madrid, Spain, in November 2018. The 125 full papers presented were carefully reviewed and selected from 204 submissions. These papers provided a timely sample of the latest advances in data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, deep learning neural networks, probabilistic modelling, particle swarm intelligence, big data analytics, and applications in image recognition, regression, classification, clustering, medical and biological modelling and prediction, text processing and social media analysis.
Intelligent Data Engineering and Analytics
Title | Intelligent Data Engineering and Analytics PDF eBook |
Author | Vikrant Bhateja |
Publisher | Springer Nature |
Total Pages | 633 |
Release | 2023-11-25 |
Genre | Technology & Engineering |
ISBN | 9819967066 |
The book presents the proceedings of the 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2023), held at Cardiff School of Technologies, Cardiff Metropolitan University, Cardiff, Wales, UK, during April 11–12, 2023. Researchers, scientists, engineers, and practitioners exchange new ideas and experiences in the domain of intelligent computing theories with prospective applications in various engineering disciplines in the book. This book is divided into two volumes. It covers broad areas of information and decision sciences, with papers exploring both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols, and architectures. This book is a valuable resource for postgraduate students in various engineering disciplines.
Intelligent Data-Analytics for Condition Monitoring
Title | Intelligent Data-Analytics for Condition Monitoring PDF eBook |
Author | Hasmat Malik |
Publisher | Academic Press |
Total Pages | 272 |
Release | 2021-02-24 |
Genre | Technology & Engineering |
ISBN | 0323855113 |
Intelligent Data-Analytics for Condition Monitoring: Smart Grid Applications looks at intelligent and meaningful uses of data required for an optimized, efficient engineering processes. In addition, the book provides application perspectives of various deep learning models for the condition monitoring of electrical equipment. With chapters discussing the fundamentals of machine learning and data analytics, the book is divided into two parts, including i) The application of intelligent data analytics in Solar PV fault diagnostics, transformer health monitoring and faults diagnostics, and induction motor faults and ii) Forecasting issues using data analytics which looks at global solar radiation forecasting, wind data forecasting, and more. This reference is useful for all engineers and researchers who need preliminary knowledge on data analytics fundamentals and the working methodologies and architecture of smart grid systems. Features deep learning methodologies in smart grid deployment and maintenance applications Includes coding for intelligent data analytics for each application Covers advanced problems and solutions of smart grids using advance data analytic techniques