Intelligent Data Analysis for e Learning Book

Intelligent Data Analysis for e Learning


  • Author : Jorge Miguel
  • Publisher : Morgan Kaufmann
  • Release Date : 2016-09-06
  • Genre: Education
  • Pages : 192
  • ISBN 10 : 9780128045459

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Intelligent Data Analysis for e Learning Excerpt :

Intelligent Data Analysis for e-Learning: Enhancing Security and Trustworthiness in Online Learning Systems addresses information security within e-Learning based on trustworthiness assessment and prediction. Over the past decade, many learning management systems have appeared in the education market. Security in these systems is essential for protecting against unfair and dishonest conduct—most notably cheating—however, e-Learning services are often designed and implemented without considering security requirements. This book provides functional approaches of trustworthiness analysis, modeling, assessment, and prediction for stronger security and support in online learning, highlighting the security deficiencies found in most online collaborative learning systems. The book explores trustworthiness methodologies based on collective intelligence than can overcome these deficiencies. It examines trustworthiness analysis that utilizes the large amounts of data-learning activities generate. In addition, as processing this data is costly, the book offers a parallel processing paradigm that can support learning activities in real-time. The book discusses data visualization methods for managing e-Learning, providing the tools needed to analyze the data collected. Using a case-based approach, the book concludes with models and methodologies for evaluating and validating security in e-Learning systems. Indexing: The books of this series are submitted to EI-Compendex and SCOPUS Provides guidelines for anomaly detection, security analysis, and trustworthiness of data processing Incorporates state-of-the-art, multidisciplinary research on online collaborative learning, social networks, information security, learning management systems, and trustworthiness prediction Proposes a parallel processing approach that decreases the cost of expensive data processing Offers strategies for ensuring against unfair and dishonest assessments Demonstrates solutions using a real-life e-Lea

Intelligent Systems and Learning Data Analytics in Online Education Book

Intelligent Systems and Learning Data Analytics in Online Education


  • Author : Santi Caballé
  • Publisher : Academic Press
  • Release Date : 2021-06-15
  • Genre: Computers
  • Pages : 424
  • ISBN 10 : 9780128231272

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Intelligent Systems and Learning Data Analytics in Online Education Excerpt :

Intelligent Systems and Learning Data Analytics in Online Education provides novel artificial intelligence (AI) and analytics-based methods to improve online teaching and learning. This book addresses key problems such as attrition and lack of engagement in MOOCs and online learning in general. This book explores the state of the art of artificial intelligence, software tools and innovative learning strategies to provide better understanding and solutions to the various challenges of current e-learning in general and MOOC education. In particular, Intelligent Systems and Learning Data Analytics in Online Education shares stimulating theoretical and practical research from leading international experts. This publication provides useful references for educational institutions, industry, academic researchers, professionals, developers, and practitioners to evaluate and apply. Presents the application of innovative AI techniques to collaborative learning activities Offers strategies to provide automatic and effective tutoring to students’ activities Offers methods to collect, analyze and correctly visualize learning data in educational environments

Computational Intelligent Data Analysis for Sustainable Development Book

Computational Intelligent Data Analysis for Sustainable Development


  • Author : Ting Yu
  • Publisher : CRC Press
  • Release Date : 2016-04-19
  • Genre: Business & Economics
  • Pages : 440
  • ISBN 10 : 9781439895955

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Computational Intelligent Data Analysis for Sustainable Development Excerpt :

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

Intelligent Data analysis and its Applications  Volume I Book

Intelligent Data analysis and its Applications Volume I


  • Author : Jeng-Shyang Pan
  • Publisher : Springer
  • Release Date : 2014-05-26
  • Genre: Technology & Engineering
  • Pages : 534
  • ISBN 10 : 9783319077765

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Intelligent Data analysis and its Applications Volume I Excerpt :

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 Book

Intelligent Data Analysis


  • Author : Michael R. Berthold
  • Publisher : Springer
  • Release Date : 2007-06-07
  • Genre: Computers
  • Pages : 515
  • ISBN 10 : 9783540486251

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Intelligent Data Analysis Excerpt :

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 Book

Intelligent Data Analysis


  • Author : Deepak Gupta
  • Publisher : John Wiley & Sons
  • Release Date : 2020-07-07
  • Genre: Technology & Engineering
  • Pages : 400
  • ISBN 10 : 9781119544456

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Intelligent Data Analysis Excerpt :

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 and Applications Book

Intelligent Data Analysis and Applications


  • Author : Jeng-Shyang Pan
  • Publisher : Springer
  • Release Date : 2016-10-19
  • Genre: Technology & Engineering
  • Pages : 288
  • ISBN 10 : 9783319484990

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Intelligent Data Analysis and Applications Excerpt :

This book gathers papers presented at the ECC 2016, the Third Euro-China Conference on Intelligent Data Analysis and Applications, which was held in Fuzhou City, China from November 7 to 9, 2016. The aim of the ECC is to provide an internationally respected forum for scientific research in the broad areas of intelligent data analysis, computational intelligence, signal processing, and all associated applications of artificial intelligence (AI). The third installment of the ECC was jointly organized by Fujian University of Technology, China, and VSB-Technical University of Ostrava, Czech Republic. The conference was co-sponsored by Taiwan Association for Web Intelligence Consortium, and Immersion Co., Ltd.

Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics Book

Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics


  • Author : Abhishek Kumar
  • Publisher : CRC Press
  • Release Date : 2022
  • Genre: Technology & Engineering
  • Pages : 224
  • ISBN 10 : 1003132111

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Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics Excerpt :

"In the last two decades, machine learning has been dramatically developed and is still experiencing a fast and ever-lasting change in paradigm, methodology, applications, and other aspects. This book offers a compendium of current and emerging machine learning paradigms in healthcare informatics and reflects on the diversity and complexity. Machine Learning Approaches and Applications Applied Intelligence for Healthcare Data Analytics presents a variety of techniques design to enhance and empower multi-disciplinary and multi-institutional machine learning research. It provides many case studies and a panoramic view of data and machine learning techniques providing the opportunity for novel insights and discoveries. The book explores the theory and practical applications in healthcare and includes a guided tour of machine learning algorithms, architecture design, along with interdisciplinary challenges. This book is useful to research scholars and students involved in critical condition analysis and computation models"--

Proceedings of the Fifth Euro China Conference on Intelligent Data Analysis and Applications Book

Proceedings of the Fifth Euro China Conference on Intelligent Data Analysis and Applications


  • Author : Pavel Krömer
  • Publisher : Springer
  • Release Date : 2018-12-24
  • Genre: Technology & Engineering
  • Pages : 854
  • ISBN 10 : 9783030037666

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Proceedings of the Fifth Euro China Conference on Intelligent Data Analysis and Applications Excerpt :

This volume of Advances in Intelligent Systems and Computing highlights papers presented at the Fifth Euro-China Conference on Intelligent Data Analysis and Applications (ECC2018), held in Xi’an, China from October 12 to 14 2018. The conference was co-sponsored by Springer, Xi’an University of Posts and Telecommunications, VSB Technical University of Ostrava (Czech Republic), Fujian University of Technology, Fujian Provincial Key Laboratory of Digital Equipment, Fujian Provincial Key Lab of Big Data Mining and Applications, and Shandong University of Science and Technology in China. The conference was intended as an international forum for researchers and professionals engaged in all areas of computational intelligence, intelligent control, intelligent data analysis, pattern recognition, intelligent information processing, and applications.

Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches Book

Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches


  • Author : K. Gayathri Devi
  • Publisher : CRC Press
  • Release Date : 2020-10-07
  • Genre: Computers
  • Pages : 250
  • ISBN 10 : 9781000179514

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Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches Excerpt :

Artificial Intelligence (AI), when incorporated with machine learning and deep learning algorithms, has a wide variety of applications today. This book focuses on the implementation of various elementary and advanced approaches in AI that can be used in various domains to solve real-time decision-making problems. The book focuses on concepts and techniques used to run tasks in an automated manner. It discusses computational intelligence in the detection and diagnosis of clinical and biomedical images, covers the automation of a system through machine learning and deep learning approaches, presents data analytics and mining for decision-support applications, and includes case-based reasoning, natural language processing, computer vision, and AI approaches in real-time applications. Academic scientists, researchers, and students in the various domains of computer science engineering, electronics and communication engineering, and information technology, as well as industrial engineers, biomedical engineers, and management, will find this book useful. By the end of this book, you will understand the fundamentals of AI. Various case studies will develop your adaptive thinking to solve real-time AI problems. Features Includes AI-based decision-making approaches Discusses computational intelligence in the detection and diagnosis of clinical and biomedical images Covers automation of systems through machine learning and deep learning approaches and its implications to the real world Presents data analytics and mining for decision-support applications Offers case-based reasoning

Intelligent Data Analysis for COVID 19 Pandemic Book

Intelligent Data Analysis for COVID 19 Pandemic


  • Author : M. Niranjanamurthy
  • Publisher : Springer Nature
  • Release Date : 2021-06-22
  • Genre: Technology & Engineering
  • Pages : 370
  • ISBN 10 : 9789811615740

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Intelligent Data Analysis for COVID 19 Pandemic Excerpt :

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.

Advances in Intelligent Data Analysis XI Book

Advances in Intelligent Data Analysis XI


  • Author : Jaakko Hollmen
  • Publisher : Springer
  • Release Date : 2012-10-20
  • Genre: Computers
  • Pages : 426
  • ISBN 10 : 9783642341564

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Advances in Intelligent Data Analysis XI Excerpt :

This book constitutes the refereed proceedings of the 11th International Conference on Intelligent Data Analysis, IDA 2012, held in Helsinki, Finland, in October 2012. The 32 revised full papers presented together with 3 invited papers were carefully reviewed and selected from 88 submissions. All current aspects of intelligent data analysis are addressed, including intelligent support for modeling and analyzing data from complex, dynamical systems. The papers focus on novel applications of IDA techniques to, e.g., networked digital information systems; novel modes of data acquisition and the associated issues; robustness and scalability issues of intelligent data analysis techniques; and visualization and dissemination results.

Advances in Intelligent Data Analysis V Book

Advances in Intelligent Data Analysis V


  • Author : Michael R. Berthold
  • Publisher : Springer Science & Business Media
  • Release Date : 2003-08-21
  • Genre: Business & Economics
  • Pages : 624
  • ISBN 10 : 9783540408130

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Advances in Intelligent Data Analysis V Excerpt :

This book constitutes the refereed proceedings of the 5th International Conference on Intelligent Data Analysis, IDA 2003, held in Berlin, Germany in August 2003. The 56 revised papers presented were carefully reviewed and selected from 180 submissions. The papers are organized in topical sections on machine learning, probability and topology, classification and pattern recognition, clustering, applications, modeling, and data processing.

AI and Machine Learning Paradigms for Health Monitoring System Book
Score: 5
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AI and Machine Learning Paradigms for Health Monitoring System


  • Author : Hasmat Malik
  • Publisher : Springer Nature
  • Release Date : 2021-02-14
  • Genre: Technology & Engineering
  • Pages : 513
  • ISBN 10 : 9789813344129

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AI and Machine Learning Paradigms for Health Monitoring System Excerpt :

This book embodies principles and applications of advanced soft computing approaches in engineering, healthcare and allied domains directed toward the researchers aspiring to learn and apply intelligent data analytics techniques. The first part covers AI, machine learning and data analytics tools and techniques and their applications to the class of several hospital and health real-life problems. In the later part, the applications of AI, ML and data analytics shall be covered over the wide variety of applications in hospital, health, engineering and/or applied sciences such as the clinical services, medical image analysis, management support, quality analysis, bioinformatics, device analysis and operations. The book presents knowledge of experts in the form of chapters with the objective to introduce the theme of intelligent data analytics and discusses associated theoretical applications. At last, it presents simulation codes for the problems included in the book for better understanding for beginners.