Intelligent Data Analysis And Its Applications Volume Ii
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Intelligent Data analysis and its Applications Volume II
Author | : Jeng-Shyang Pan,Vaclav Snasel,Emilio S. Corchado,Ajith Abraham,Shyue-Liang Wang |
Publsiher | : Springer |
Total Pages | : 583 |
Release | : 2014-06-05 |
Genre | : Technology & Engineering |
ISBN | : 9783319077734 |
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This volume presents the proceedings of the First Euro-China Conference on Intelligent Data Analysis and Applications (ECC 2014), which was hosted by Shenzhen Graduate School of Harbin Institute of Technology and was held in Shenzhen City on June 13-15, 2014. ECC 2014 was technically co-sponsored by Shenzhen Municipal People’s Government, IEEE Signal Processing Society, Machine Intelligence Research Labs, VSB-Technical University of Ostrava (Czech Republic), National Kaohsiung University of Applied Sciences (Taiwan), and Secure E-commerce Transactions (Shenzhen) Engineering Laboratory of Shenzhen Institute of Standards and Technology.
Intelligent Data Analysis
Author | : Michael R. Berthold,David J Hand |
Publsiher | : Springer |
Total Pages | : 515 |
Release | : 2007-06-07 |
Genre | : Computers |
ISBN | : 9783540486251 |
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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 Analysis
Author | : Deepak Gupta,Siddhartha Bhattacharyya,Ashish Khanna,Kalpna Sagar |
Publsiher | : John Wiley & Sons |
Total Pages | : 428 |
Release | : 2020-07-13 |
Genre | : Technology & Engineering |
ISBN | : 9781119544456 |
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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
Author | : Michael R. Berthold,David J Hand |
Publsiher | : Springer |
Total Pages | : 515 |
Release | : 2007-06-07 |
Genre | : Computers |
ISBN | : 9783540486251 |
Download Intelligent Data Analysis Book in PDF, Epub and Kindle
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 Analysis for Real Life Applications Theory and Practice
Author | : Magdalena-Benedito, Rafael |
Publsiher | : IGI Global |
Total Pages | : 444 |
Release | : 2012-06-30 |
Genre | : Computers |
ISBN | : 9781466618077 |
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With the recent and enormous increase in the amount of available data sets of all kinds, applying effective and efficient techniques for analyzing and extracting information from that data has become a crucial task. Intelligent Data Analysis for Real-Life Applications: Theory and Practice investigates the application of Intelligent Data Analysis (IDA) to these data sets through the design and development of algorithms and techniques to extract knowledge from databases. This pivotal reference explores practical applications of IDA, and it is essential for academic and research libraries as well as students, researchers, and educators in data analysis, application development, and database management.
Intelligent Data Analysis for COVID 19 Pandemic
Author | : M. Niranjanamurthy,Siddhartha Bhattacharyya,Neeraj Kumar |
Publsiher | : Springer Nature |
Total Pages | : 370 |
Release | : 2021-06-22 |
Genre | : Technology & Engineering |
ISBN | : 9789811615740 |
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This book presents intelligent data analysis as a tool to fight against COVID-19 pandemic. The intelligent data analysis includes machine learning, natural language processing, and computer vision applications to teach computers to use big data-based models for pattern recognition, explanation, and prediction. These functions are discussed in detail in the book to recognize (diagnose), predict, and explain (treat) COVID-19 infections, and help manage socio-economic impacts. It also discusses primary warnings and alerts; tracking and prediction; data dashboards; diagnosis and prognosis; treatments and cures; and social control by the use of intelligent data analysis. It provides analysis reports, solutions using real-time data, and solution through web applications details.
Intelligent Data Analysis for Biomedical Applications
Author | : Hemanth D. Jude,Deepak Gupta,Valentina Emilia Balas |
Publsiher | : Academic Press |
Total Pages | : 294 |
Release | : 2019-03-15 |
Genre | : Computers |
ISBN | : 9780128156438 |
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Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition, machine learning, data abstraction and visualization tools for the analysis of data and discovery of mechanisms that create data. It provides computational methods and tools for intelligent data analysis, with an emphasis on problem-solving relating to automated data collection, such as computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and more. This book provides useful references for educational institutions, industry professionals, researchers, scientists, engineers and practitioners interested in intelligent data analysis, knowledge discovery, and decision support in databases. Provides the methods and tools necessary for intelligent data analysis and gives solutions to problems resulting from automated data collection Contains an analysis of medical databases to provide diagnostic expert systems Addresses the integration of intelligent data analysis techniques within biomedical information systems
Innovative Computing Optimization and Its Applications
Author | : Ivan Zelinka,Pandian Vasant,Vo Hoang Duy,Tran Trong Dao |
Publsiher | : Springer |
Total Pages | : 336 |
Release | : 2017-11-20 |
Genre | : Technology & Engineering |
ISBN | : 9783319669847 |
Download Innovative Computing Optimization and Its Applications Book in PDF, Epub and Kindle
This book presents the latest research of the field of optimization, modeling and algorithms, discussing the real-world application problems associated with new innovative methodologies. The requirements and demands of problem solving have been increasing exponentially and new computer science and engineering technologies have reduced the scope of data coverage worldwide. The recent advances in information communication technology (ICT) have contributed to reducing the gaps in the coverage of domains around the globe. The book is a valuable reference work for researchers in the fields of computer science and engineering with a particular focus on modeling, simulation and optimization as well as for postgraduates, managers, economists and decision makers