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Exam Prep for: Intelligent Data Analysis for e-Learning

Exam Prep for: Intelligent Data Analysis for e-Learning
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2021
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Intelligent Data Analysis for e-Learning

Intelligent Data Analysis for e-Learning
Enhancing Security and Trustworthiness in Online Learning Systems

by Jorge Miguel,Santi Caballé,Fatos Xhafa

  • Publisher : Morgan Kaufmann
  • Release : 2016-09-06
  • Pages : 192
  • ISBN : 0128045450
  • Language : En, Es, Fr & De
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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. 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 and its Applications, Volume I

Intelligent Data analysis and its Applications, Volume I
Proceeding of the First Euro-China Conference on Intelligent Data Analysis and Applications, June 13-15, 2014, Shenzhen, China

by Jeng-Shyang Pan,Vaclav Snasel,Emilio S. Corchado,Ajith Abraham,Shyue-Liang Wang

  • Publisher : Springer
  • Release : 2014-05-26
  • Pages : 534
  • ISBN : 3319077767
  • Language : En, Es, Fr & De
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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

Intelligent Data Analysis
From Data Gathering to Data Comprehension

by Deepak Gupta,Siddhartha Bhattacharyya,Ashish Khanna,Kalpna Sagar

  • Publisher : John Wiley & Sons
  • Release : 2020-07-07
  • Pages : 400
  • ISBN : 1119544459
  • Language : En, Es, Fr & De
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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 and Applications

Intelligent Data Analysis and Applications
Proceedings of the Third Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2016

by Jeng-Shyang Pan,Václav Snášel,Tien-Wen Sung,Xiao Dong Wang

  • Publisher : Springer
  • Release : 2016-10-19
  • Pages : 288
  • ISBN : 3319484990
  • Language : En, Es, Fr & De
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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.

Advances in Intelligent Data Analysis

Advances in Intelligent Data Analysis
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2003
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Medical Applications of Intelligent Data Analysis: Research Advancements

Medical Applications of Intelligent Data Analysis: Research Advancements
Research Advancements

by Magdalena-Benedito, Rafael

  • Publisher : IGI Global
  • Release : 2012-06-30
  • Pages : 372
  • ISBN : 1466618043
  • Language : En, Es, Fr & De
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"This book explores the potential of utilizing medical data through the implementation of developed models in practical applications"--Provided by publisher.

Intelligent Data Analysis

Intelligent Data Analysis
An Introduction

by Michael Berthold,David J Hand

  • Publisher : Springer Science & Business Media
  • Release : 2013-04-17
  • Pages : 401
  • ISBN : 3662039699
  • Language : En, Es, Fr & De
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This is a detailed introductory presentation of the key classes of intelligent data analysis (IDA) methods. The first part of the book discusses classical statistical issues. The following chapters concentrate on machine learning and artificial intelligence and provide introductions to the topics of rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a higher level overview of the IDA process and illustrations of its application.

Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities

Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities
Emerging Research and Opportunities

by Bhatt, Chintan,Sajja, Priti Srinivas,Liyanage, Sidath

  • Publisher : IGI Global
  • Release : 2019-08-02
  • Pages : 166
  • ISBN : 1799800121
  • Language : En, Es, Fr & De
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Modern education has increased its reach through ICT tools and techniques. To manage educational data with the help of modern artificial intelligence, data and web mining techniques on dedicated cloud or grid platforms for educational institutes can be used. By utilizing data science techniques to manage educational data, the safekeeping, delivery, and use of knowledge can be increased for better quality education. Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities is a critical scholarly resource that explores data mining and management techniques that promote the improvement and optimization of educational data systems. The book intends to provide new models, platforms, tools, and protocols in data science for educational data analysis and introduces innovative hybrid system models dedicated to data science. Including topics such as automatic assessment, educational analytics, and machine learning, this book is essential for IT specialists, data analysts, computer engineers, education professionals, administrators, policymakers, researchers, academicians, and technology experts.

Data Analytics Approaches in Educational Games and Gamification Systems

Data Analytics Approaches in Educational Games and Gamification Systems
A Book

by Ahmed Tlili,Maiga Chang

  • Publisher : Springer Nature
  • Release : 2019-09-10
  • Pages : 255
  • ISBN : 9813293357
  • Language : En, Es, Fr & De
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Game-based learning environments and learning analytics are attracting increasing attention from researchers and educators, since they both can enhance learning outcomes. This book focuses on the application of data analytics approaches and research on human behaviour analysis in game-based learning environments, namely educational games and gamification systems, to provide smart learning. Specifically, it discusses the purposes, advantages and limitations of applying such approaches in these environments. Additionally, the various smart game-based learning environments presented help readers integrate learning analytics in their educational games and gamification systems to, for instance, assess and model students (e.g. their computational thinking) or enhance the learning process for better outcomes. Moreover, the book presents general guidelines on various aspects, such as collecting data for analysis, game-based learning environment design, system architecture and applied algorithms, which facilitate incorporating learning analytics into educational games and gamification systems. After a general introduction to help readers become familiar with the subject area, the individual chapters each discuss a different aim of applying data analytics approaches in educational games and gamification systems. Lastly, the conclusion provides a summary and presents general guidelines and frameworks to consider when designing smart game-based learning environments with learning analytics.

Intelligent Data Analysis in Medicine and Pharmacology

Intelligent Data Analysis in Medicine and Pharmacology
A Book

by Nada Lavrač,E. T. Keravnou,Blaz Zupan

  • Publisher : Springer
  • Release : 1997-09-30
  • Pages : 310
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Intelligent data analysis, data mining and knowledge discovery in databases have recently gained the attention of a large number of researchers and practitioners. This is witnessed by the rapidly increasing number of submissions and participants at related conferences and workshops, by the emergence of new journals in this area (e.g., Data Mining and Knowledge Discovery, Intelligent Data Analysis, etc.), and by the increasing number of new applications in this field. In our view, the awareness of these challenging research fields and emerging technologies has been much larger in industry than in medicine and pharmacology. The main purpose of this book is to present the various techniques and methods that are available for intelligent data analysis in medicine and pharmacology, and to present case studies of their application. Intelligent Data Analysis in Medicine and Pharmacology consists of selected (and thoroughly revised) papers presented at the First International Workshop on Intelligent Data Analysis in Medicine and Pharmacology (IDAMAP-96) held in Budapest in August 1996 as part of the 12th European Conference on Artificial Intelligence (ECAI-96), IDAMAP-96 was organized with the motivation to gather scientists and practitioners interested in computational data analysis methods applied to medicine and pharmacology, aimed at narrowing the increasing gap between excessive amounts of data stored in medical and pharmacological databases on the one hand, and the interpretation, understanding and effective use of stored data on the other hand. Besides the revised Workshop papers, the book contains a selection of contributions by invited authors. The expected readership of the book is researchers and practitioners interested in intelligent data analysis, data mining, and knowledge discovery in databases, particularly those who are interested in using these technologies in medicine and pharmacology. Researchers and students in artificial intelligence and statistics should find this book of interest as well. Finally, much of the presented material will be interesting to physicians and pharmacologists challenged by new computational technologies, or simply in need of effectively utilizing the overwhelming volumes of data collected as a result of improved computer support in their daily professional practice.

Intelligent Data Analysis for Biomedical Applications

Intelligent Data Analysis for Biomedical Applications
Challenges and Solutions

by Hemanth D. Jude,Deepak Gupta,Valentina Emilia Balas

  • Publisher : Academic Press
  • Release : 2019-03-15
  • Pages : 294
  • ISBN : 0128156430
  • Language : En, Es, Fr & De
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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

Intelligent Data Communication Technologies and Internet of Things

Intelligent Data Communication Technologies and Internet of Things
Proceedings of ICICI 2020

by Jude Hemanth

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 329
  • ISBN : 9811595097
  • Language : En, Es, Fr & De
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Computational Intelligence for Technology Enhanced Learning

Computational Intelligence for Technology Enhanced Learning
A Book

by Fatos Xhafa,Santi Caballé,Ajith Abraham,Thanasis Daradoumis,Angel Alejandro Juan Perez

  • Publisher : Springer Science & Business Media
  • Release : 2010-02-18
  • Pages : 250
  • ISBN : 3642112234
  • Language : En, Es, Fr & De
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E-Learning has become one of the most wide spread ways of distance teaching and learning. Technologies such as Web, Grid, and Mobile and Wireless networks are pushing teaching and learning communities to find new and intelligent ways of using these technologies to enhance teaching and learning activities. Indeed, these new technologies can play an important role in increasing the support to teachers and learners, to shorten the time to learning and teaching; yet, it is necessary to use intelligent techniques to take advantage of these new technologies to achieve the desired support to teachers and learners and enhance learners’ performance in distributed learning environments. The chapters of this volume bring advances in using intelligent techniques for technology enhanced learning as well as development of e-Learning applications based on such techniques and supported by technology. Such intelligent techniques include clustering and classification for personalization of learning, intelligent context-aware techniques, adaptive learning, data mining techniques and ontologies in e-Learning systems, among others. Academics, scientists, software developers, teachers and tutors and students interested in e-Learning will find this book useful for their academic, research and practice activity.

Software Data Engineering for Network eLearning Environments

Software Data Engineering for Network eLearning Environments
Analytics and Awareness Learning Services

by Santi Caballé,Jordi Conesa

  • Publisher : Springer
  • Release : 2018-02-09
  • Pages : 228
  • ISBN : 3319683187
  • Language : En, Es, Fr & De
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This book presents original research on analytics and context awareness with regard to providing sophisticated learning services for all stakeholders in the eLearning context. It offers essential information on the definition, modeling, development and deployment of services for these stakeholders. Data analysis has long-since been a cornerstone of eLearning, supplying learners, teachers, researchers, managers and policymakers with valuable information on learning activities and design. With the rapid development of Internet technologies and sophisticated online learning environments, increasing volumes and varieties of data are being generated, and data analysis has moved on to more complex analysis techniques, such as educational data mining and learning analytics. Now powered by cloud technologies, online learning environments are capable of gathering and storing massive amounts of data in various formats, of tracking user-system and user-user interactions, and of delivering rich contextual information.

Intelligent Data Analysis and Applications

Intelligent Data Analysis and Applications
Proceedings of the Second Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2015

by Ajith Abraham,Xin Hua Jiang,Václav Snášel,Jeng-Shyang Pan

  • Publisher : Springer
  • Release : 2015-07-14
  • Pages : 560
  • ISBN : 3319212060
  • Language : En, Es, Fr & De
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This volume of Advances in Intelligent Systems and Computing contains accepted papers presented in the main track of ECC 2015, the Second Euro-China Conference on Intelligent Data Analysis and Applications. The aim of ECC is to provide an internationally respected forum for scientific research in the broad area of intelligent data analysis, computational intelligence, signal processing, and all associated applications of AIs. The second edition of ECC was organized jointly by VSB - Technical University of Ostrava, Czech Republic, and Fujian University of Technology, Fuzhou, China. The conference, organized under the patronage of Mr. Miroslav Novak, President of the Moravian-Silesian Region, took place in late June and early July 2015 in the Campus of the VSB - Technical University of Ostrava, Czech Republic.

Intelligent Data Engineering and Automated Learning

Intelligent Data Engineering and Automated Learning
IDEAL ...

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2004
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Advances in Artificial Intelligence

Advances in Artificial Intelligence
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2004
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Biological and Medical Data Analysis

Biological and Medical Data Analysis
... International Symposium, ISBMDA ... : Proceedings

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2004
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Intelligent Information and Database Systems

Intelligent Information and Database Systems
9th Asian Conference, ACIIDS 2017, Kanazawa, Japan, April 3–5, 2017, Proceedings

by Ngoc Thanh Nguyen,Satoshi Tojo,Le Minh Nguyen,Bogdan Trawiński

  • Publisher : Springer
  • Release : 2017-04-03
  • Pages : 329
  • ISBN : 3319544306
  • Language : En, Es, Fr & De
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The two-volume set LNAI 10191 and 10192 constitutes the refereed proceedings of the 9th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2017, held in Kanazawa, Japan, in April 2017. The total of 152 full papers accepted for publication in these proceedings was carefully reviewed and selected from 420 submissions. They were organized in topical sections named: Knowledge Engineering and Semantic Web; Social Networks and Recommender Systems; Text Processing and Information Retrieval; Intelligent Database Systems; Intelligent Information Systems; Decision Support and Control Systems; Machine Learning and Data Mining; Computer Vision Techniques; Advanced Data Mining Techniques and Applications; Intelligent and Context Systems; Multiple Model Approach to Machine Learning; Applications of Data Science; Artificial Intelligence Applications for E-services; Automated Reasoning and Proving Techniques with Applications in Intelligent Systems; Collective Intelligence for Service Innovation, Technology Opportunity, E-Learning and Fuzzy Intelligent Systems; Intelligent Computer Vision Systems and Applications; Intelligent Data Analysis, Applications and Technologies for Internet of Things; Intelligent Algorithms and Brain Functions; Intelligent Systems and Algorithms in Information Sciences; IT in Biomedicine; Intelligent Technologies in the Smart Cities in the 21st Century; Analysis of Image, Video and Motion Data in Life Sciences; Modern Applications of Machine Learning for Actionable Knowledge Extraction; Mathematics of Decision Sciences and Information Science; Scalable Data Analysis in Bioinformatics and Biomedical Informatics; and Technological Perspective of Agile Transformation in IT organizations.