Intelligent Data Analysis for E Learning

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  • Publisher : Academic Press
  • Release : 09 August 2016
  • ISBN : 0128045353
  • Page : 220 pages
  • Rating : 4.5/5 from 103 voters

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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. 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-Learning context

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Intelligent Data Analysis for E-Learning

Intelligent Data Analysis for E-Learning
  • Author : Jorge Miguel,Fatos Xhafa,Santi Caballé
  • Publisher : Academic Press
  • Release Date : 2016-08-09
  • ISBN : 0128045353
GET THIS BOOKIntelligent Data Analysis for E-Learning

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

Intelligent Data Analysis for e-Learning

Intelligent Data Analysis for e-Learning
  • Author : Jorge Miguel,Santi Caballé,Fatos Xhafa
  • Publisher : Morgan Kaufmann
  • Release Date : 2016-09-06
  • ISBN : 9780128045459
GET THIS BOOKIntelligent Data Analysis for e-Learning

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

Intelligent Systems and Learning Data Analytics in Online Education

Intelligent Systems and Learning Data Analytics in Online Education
  • Author : Santi Caballé,Stavros N. Demetriadis,Eduardo Gómez-Sánchez,Pantelis M. Papadopoulos,Armin Weinberger
  • Publisher : Academic Press
  • Release Date : 2021-06-15
  • ISBN : 9780128231272
GET THIS BOOKIntelligent Systems and Learning Data Analytics in Online Education

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

Intelligent Data Analysis

Intelligent Data Analysis
  • Author : Michael R. Berthold,David J Hand
  • Publisher : Springer
  • Release Date : 2007-06-07
  • ISBN : 9783540486251
GET THIS BOOKIntelligent Data Analysis

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

Data Analytics in E-Learning

Data Analytics in E-Learning
  • Author : Marian Cristian Mihăescu
  • Publisher : Springer Nature
  • Release Date : 2022
  • ISBN : 9783030966447
GET THIS BOOKData Analytics in E-Learning

This book focuses on research and development aspects of building data analytics workflows that address various challenges of e-learning applications. This book represents a guideline for building a data analysis workflow from scratch. Each chapter presents a step of the entire workflow, starting from an available dataset and continuing with building interpretable models, enhancing models, and tackling aspects of evaluating engagement and usability. The related work shows that many papers have focused on machine learning usage and advancement within e-learning

Intelligent Data Analysis

Intelligent Data Analysis
  • Author : Deepak Gupta,Siddhartha Bhattacharyya,Ashish Khanna,Kalpna Sagar
  • Publisher : John Wiley & Sons
  • Release Date : 2020-07-13
  • ISBN : 9781119544456
GET THIS BOOKIntelligent Data Analysis

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

Intelligent Systems and Learning Data Analytics in Online Education

Intelligent Systems and Learning Data Analytics in Online Education
  • Author : Santi Caballé,Stavros N. Demetriadis,Eduardo Gómez-Sánchez,Pantelis M. Papadopoulos,Armin Weinberger
  • Publisher : Elsevier
  • Release Date : 2021-06-18
  • ISBN : 9780128234105
GET THIS BOOKIntelligent Systems and Learning Data Analytics in Online Education

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

Intelligent Data analysis and its Applications, Volume I

Intelligent Data analysis and its Applications, Volume I
  • Author : Jeng-Shyang Pan,Vaclav Snasel,Emilio S. Corchado,Ajith Abraham,Shyue-Liang Wang
  • Publisher : Springer
  • Release Date : 2014-05-26
  • ISBN : 9783319077765
GET THIS BOOKIntelligent Data analysis and its Applications, Volume I

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

Computational Intelligent Data Analysis for Sustainable Development

Computational Intelligent Data Analysis for Sustainable Development
  • Author : Ting Yu,Nitesh Chawla,Simeon Simoff
  • Publisher : CRC Press
  • Release Date : 2016-04-19
  • ISBN : 9781439895955
GET THIS BOOKComputational Intelligent Data Analysis for Sustainable Development

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 for Real-life Applications

Intelligent Data Analysis for Real-life Applications
  • Author : Rafael Magdalena Benedito
  • Publisher : Unknown
  • Release Date : 2012
  • ISBN : 1466618086
GET THIS BOOKIntelligent Data Analysis for Real-life Applications

"This book investigates the application of Intelligent Data Analysis (IDA) in real-life applications through the design and development of algorithms and techniques to extract knowledge from databases"--

Intelligent Data Analysis and Applications

Intelligent Data Analysis and Applications
  • Author : Jeng-Shyang Pan,Václav Snášel,Tien-Wen Sung,Xiao Dong Wang
  • Publisher : Springer
  • Release Date : 2016-10-19
  • ISBN : 9783319484990
GET THIS BOOKIntelligent Data Analysis and Applications

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

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

Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches
  • Author : K. Gayathri Devi,Mamata Rath,Nguyen Thi Dieu Linh
  • Publisher : CRC Press
  • Release Date : 2020-10-08
  • ISBN : 9781000179538
GET THIS BOOKArtificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches

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

Intelligent Data Analysis for COVID-19 Pandemic

Intelligent Data Analysis for COVID-19 Pandemic
  • Author : M. Niranjanamurthy,Siddhartha Bhattacharyya,Neeraj Kumar
  • Publisher : Springer
  • Release Date : 2021-06-23
  • ISBN : 981161573X
GET THIS BOOKIntelligent Data Analysis for COVID-19 Pandemic

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;

Advances in Intelligent Data Analysis XIX

Advances in Intelligent Data Analysis XIX
  • Author : Pedro Henriques Abreu,Pedro Pereira Rodrigues,Alberto Fernández,João Gama
  • Publisher : Springer Nature
  • Release Date : 2021-04-12
  • ISBN : 9783030742515
GET THIS BOOKAdvances in Intelligent Data Analysis XIX

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.

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

Proceedings of the Fifth Euro-China Conference on Intelligent Data Analysis and Applications
  • Author : Pavel Krömer,Hong Zhang,Yongquan Liang,Jeng-Shyang Pan
  • Publisher : Springer
  • Release Date : 2018-12-24
  • ISBN : 9783030037666
GET THIS BOOKProceedings of the Fifth Euro-China Conference on Intelligent Data Analysis and Applications

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