Intelligent Data Analysis For E Learning

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Intelligent Data Analysis For E Learning

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Author : Jorge Miguel
language : en
Publisher: Morgan Kaufmann
Release Date : 2016-09-06

Intelligent Data Analysis For E Learning written by Jorge Miguel and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-06 with Education categories.

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-Learning context

Intelligent Data Analysis

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Author : Deepak Gupta
language : en
Publisher: John Wiley & Sons
Release Date : 2020-04-17

Intelligent Data Analysis written by Deepak Gupta and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-17 with Technology & Engineering categories.

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 Systems And Learning Data Analytics In Online Education

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Author : Santi Caballé
language : en
Publisher: Academic Press
Release Date : 2021-06-15

Intelligent Systems And Learning Data Analytics In Online Education written by Santi Caballé and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-15 with Computers categories.

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

Smart Education And E Learning 2018

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Author : Vladimir L. Uskov
language : en
Publisher: Springer
Release Date : 2018-05-28

Smart Education And E Learning 2018 written by Vladimir L. Uskov and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-28 with Technology & Engineering categories.

This book features the contributions presented at the 5th International KES Conference on Smart Education and e-Learning, which took place in Gold Coast, Australia, June 20–22, 2018. The peer-reviewed papers are grouped into several interconnected parts: Part 1 – Smart Education: Systems and Technology, Part 2 – Smart Pedagogy, Part 3 – Smart Education: Case Studies and Research, and Part 4: Sustainable Learning Technologies: Smart Higher Education Futures. Smart education and smart e-learning are emerging and rapidly growing areas with the potential to transform existing teaching strategies, learning environments, and educational activities and technology in the classroom. Smart education and smart e-learning focus on enabling instructors to develop new ways of achieving excellence in teaching in highly technological smart classrooms, and providing students with new opportunities to maximize their success and select the best options for their education, location and learning style, as well as the mode of content delivery. This book serves as a useful source of research data and valuable information on current research projects, best practices and case studies for faculty, scholars, Ph.D. students, administrators, and practitioners – all those who are interested in smart education and smart e-learning.

Computational Intelligence Data Analytics And Applications

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Author : Fausto Pedro García Márquez
language : en
Publisher: Springer Nature
Release Date : 2023-03-14

Computational Intelligence Data Analytics And Applications written by Fausto Pedro García Márquez and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-14 with Technology & Engineering categories.

This book is a compilation of accepted papers presented at the International Conference on Computing, Intelligence and Data Analytics (ICCIDA) in 2022 organized by Information Systems Engineering of the Kocaeli University, Turkey on September 16-17, 2022. The book highlights some of the latest research advances and cutting-edge analyses of real-world problems related to Computing, Intelligence and Data Analytics and their applications in various domains. This includes state of the art models and methods used on benchmark datasets.

Applied Computational Intelligence And Soft Computing In Engineering

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Author : Khalid, Saifullah
language : en
Publisher: IGI Global
Release Date : 2017-09-13

Applied Computational Intelligence And Soft Computing In Engineering written by Khalid, Saifullah and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-13 with Computers categories.

Although computational intelligence and soft computing are both well-known fields, using computational intelligence and soft computing in conjunction is an emerging concept. This combination can effectively be used in practical areas of various fields of research. Applied Computational Intelligence and Soft Computing in Engineering is an essential reference work featuring the latest scholarly research on the concepts, paradigms, and algorithms of computational intelligence and its constituent methodologies such as evolutionary computation, neural networks, and fuzzy logic. Including coverage on a broad range of topics and perspectives such as cloud computing, sampling in optimization, and swarm intelligence, this publication is ideally designed for engineers, academicians, technology developers, researchers, and students seeking current research on the benefits of applying computational intelligence techniques to engineering and technology.

Advances In Intelligent Data Analysis

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Author :
language : en
Publisher:
Release Date : 2003

Advances In Intelligent Data Analysis written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Expert systems (Computer science) categories.

Intelligent Data Engineering And Automated Learning

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Author :
language : en
Publisher:
Release Date : 2004

Intelligent Data Engineering And Automated Learning written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Data mining categories.

Artificial Intelligence Application In Networks And Systems

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Author : Radek Silhavy
language : en
Publisher: Springer Nature
Release Date : 2023-07-08

Artificial Intelligence Application In Networks And Systems written by Radek Silhavy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-08 with Technology & Engineering categories.

The application of artificial intelligence in networks and systems is a rapidly evolving field that has the potential to transform a wide range of industries. The refereed proceedings in this book is from the Artificial Intelligence Application in Networks and Systems session of the Computer Science Online Conference 2023 (CSOC 2023), which was held online in April 2023. The section brings together experts from different fields to present their research and discuss the latest trends and challenges. One of the key themes in this section is the development of intelligent systems that can learn, adapt, and optimize their performance in real time. Researchers are exploring how AI algorithms can be used to create autonomous networks and systems that can make decisions without human intervention. Furthermore, this section highlights the use of AI in improving network performance and efficiency. Researchers are exploring how AI algorithms can be used to optimize network routing, reduce congestion, and improve the quality of service. These efforts can help organizations save costs and improve user experience.

Intelligent Data Analysis In Science

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Author : Hugh M. Cartwright
language : en
Publisher:
Release Date : 2000

Intelligent Data Analysis In Science written by Hugh M. Cartwright and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Computers categories.

Scientists have been enthusiastic advocates of computational methods of data analysis for as long as computers have been widely available. This book introduces the growing range of computational methods which arise from research into Artificial Intelligence (AI), and which are coming to be recognised as tools of great potential in modern scientific analysis. These methods offer tremendous potential in the analysis of scientific data: papers reporting the application of AI methods in chemistry are currently being published at a rate of several hundred a year; similar figures apply to other areas of science, and the numbers are increasing rapidly. This book leads the reader into the relevant research literature, and provides both the principles and applications of the subject at a level accessible to senior undergraduates and beginning postgraduates.