Advances In Intelligent Data Analysis Xix
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| Author | : Pedro Henriques Abreu |
| Publisher | : Springer Nature |
| Total Pages | : 454 |
| Release | : 2021-04-12 |
| Genre | : Computers |
| ISBN | : 3030742512 |
This book constitutes the proceedings of the 19th International Symposium on Intelligent Data Analysis, IDA 2021, which was planned to take place in Porto, Portugal. Due to the COVID-19 pandemic the conference was held online during April 26-28, 2021. The 35 papers included in this book were carefully reviewed and selected from 113 submissions. The papers were organized in topical sections named: modeling with neural networks; modeling with statistical learning; modeling language and graphs; and modeling special data formats.
| Author | : Aboul-Ella Hassanien |
| Publisher | : Springer Nature |
| Total Pages | : 311 |
| Release | : 2021-07-23 |
| Genre | : Computers |
| ISBN | : 3030773027 |
This book presents the emerging developments in intelligent computing, machine learning, and data mining. It also provides insights on communications, network technologies, and the Internet of things. It offers various insights on the role of the Internet of things against COVID-19 and its potential applications. It provides the latest cloud computing improvements and advanced computing and addresses data security and privacy to secure COVID-19 data.
| 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.
| Author | : Oleg Chertov |
| Publisher | : Springer |
| Total Pages | : 391 |
| Release | : 2018-08-04 |
| Genre | : Technology & Engineering |
| ISBN | : 3319978853 |
This book constitutes the proceedings of the XVIII International Conference on Data Science and Intelligent Analysis of Information (ICDSIAI'2018), held in Kiev, Ukraine on June 4-7, 2018. The conference series, which dates back to 2001 when it was known as the Workshop on Intelligent Analysis of Information, was renamed in 2008 to reflect the broadening of its scope and the composition of its organizers and participants. ICDSIAI'2018 brought together a large number of participants from numerous countries in Europe, Asia and the USA. The papers presented addressed novel theoretical developments in methods, algorithms and implementations for the broadly perceived areas of big data mining and intelligent analysis of data and information, representation and processing of uncertainty and fuzziness, including contributions on a range of applications in the fields of decision-making and decision support, economics, education, ecology, law, and various areas of technology. The book is dedicated to the memory of the conference founder, the late Professor Tetiana Taran, an outstanding scientist in the field of artificial intelligence whose research record, vision and personality have greatly contributed to the development of Ukrainian artificial intelligence and computer science.
| Author | : Rafael Magdalena Benedito |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2012 |
| Genre | : Artificial intelligence |
| ISBN | : 9781466618039 |
"This book explores the potential of utilizing medical data through the implementation of developed models in practical applications"--
| Author | : M. Niranjanamurthy |
| Publisher | : Springer Nature |
| Total Pages | : 370 |
| Release | : 2021-06-22 |
| Genre | : Technology & Engineering |
| ISBN | : 9811615748 |
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.
| Author | : Jeng-Shyang Pan |
| Publisher | : Springer Nature |
| Total Pages | : 379 |
| Release | : 2021-11-25 |
| Genre | : Technology & Engineering |
| ISBN | : 9811650365 |
This book constitutes the Proceeding of the Sixth International Conference on Intelligent Data Analysis and Applications, October 15–18, 2019, Arad, Romania. This edition is technically co-sponsored by “Aurel Vlaicu” University of Arad, Romania, Southwest Jiaotong University, Fujian University of Technology, Chang’an University, Shandong University of Science and Technology, Fujian Provincial Key Lab of Big Data Mining and Applications, and National Demonstration Center for Experimental Electronic Information and Electrical Technology Education (Fujian University of Technology), China, Romanian Academy, and General Association of Engineers in Romania - Arad Section. The book covers a range of topics: Machine Learning, Intelligent Control, Pattern Recognition, Computational Intelligence, Signal Analysis, Modeling and Visualization, Multimedia Sensing and Sensory Systems, Signal control, Imaging and Processing, Information System Security, Cryptography and Cryptanalysis, Databases and Data Mining, Information Hiding, Cloud Computing, Information Retrieval and Integration, Robotics, Control, Agents, Command, Control, Communication and Computers (C4), Swarming Technology, Sensor Technology, Smart cities. The book offers a timely, board snapshot of new development including trends and challenges that are yielding recent research directions in different areas of intelligent data analysis and applications. The book provides useful information to professors, researchers, and graduated students in area of intelligent data analysis and applications.
| Author | : Uttam Ghosh |
| Publisher | : Springer Nature |
| Total Pages | : 411 |
| Release | : 2021-05-31 |
| Genre | : Technology & Engineering |
| ISBN | : 3030720659 |
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 | : Siddhartha Bhattacharyya |
| Publisher | : Springer Nature |
| Total Pages | : 301 |
| Release | : 2021-03-12 |
| Genre | : Technology & Engineering |
| ISBN | : 981336176X |
This book is a collection of best selected research papers presented at International Conference on Intelligent and Smart Computing in Data Analytics (ISCDA 2020), held at K L University, Guntur, Andhra Pradesh, India. The primary focus is to address issues and developments in advanced computing, intelligent models and applications, smart technologies and applications. It includes topics such as artificial intelligence and machine learning, pattern recognition and analysis, computational intelligence, signal and image processing, bioinformatics, ubiquitous computing, genetic fuzzy systems, hybrid evolutionary algorithms, nature-inspired smart hybrid systems, Internet of things, industrial IoT, health informatics, human–computer interaction and social network analysis. The book presents innovative work by leading academics, researchers and experts from industry.
| 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.
