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Exam Prep for: Intelligent Data Analysis for e-Learning

Exam Prep for: Intelligent Data Analysis for e-Learning
  • Author : Anonim
  • Publisher :Unknown
  • Release Date :2021
  • Total pages :229
  • ISBN : 1230987654XX
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Summary :

Intelligent Data Analysis for e-Learning

Intelligent Data Analysis for e-Learning
  • Author : Jorge Miguel,Santi Caballé,Fatos Xhafa
  • Publisher :Unknown
  • Release Date :2016-09-06
  • Total pages :192
  • ISBN : 9780128045459
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Summary : 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
  • Author : Jeng-Shyang Pan,Vaclav Snasel,Emilio S. Corchado,Ajith Abraham,Shyue-Liang Wang
  • Publisher :Unknown
  • Release Date :2014-05-26
  • Total pages :534
  • ISBN : 9783319077765
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Summary : 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
  • Author : Deepak Gupta,Siddhartha Bhattacharyya,Ashish Khanna,Kalpna Sagar
  • Publisher :Unknown
  • Release Date :2020-07-07
  • Total pages :400
  • ISBN : 9781119544456
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Summary : 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
  • Author : Jeng-Shyang Pan,Václav Snášel,Tien-Wen Sung,Xiao Dong Wang
  • Publisher :Unknown
  • Release Date :2016-10-19
  • Total pages :288
  • ISBN : 9783319484990
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Summary : 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.

Intelligent Data Analysis for Real-Life Applications: Theory and Practice

Intelligent Data Analysis for Real-Life Applications: Theory and Practice
  • Author : Magdalena-Benedito, Rafael
  • Publisher :Unknown
  • Release Date :2012-06-30
  • Total pages :444
  • ISBN : 9781466618077
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Summary : With the recent and enormous increase in the amount of available data sets of all kinds, applying effective and efficient techniques for analyzing and extracting information from that data has become a crucial task. Intelligent Data Analysis for Real-Life Applications: Theory and Practice investigates the application of Intelligent Data Analysis (IDA) to these data sets through the design and development of algorithms and techniques to extract knowledge from databases. This pivotal reference explores practical applications of IDA, and it is essential for academic and research libraries as well as students, researchers, and educators in data analysis, application development, and database management.

Medical Applications of Intelligent Data Analysis: Research Advancements

Medical Applications of Intelligent Data Analysis: Research Advancements
  • Author : Magdalena-Benedito, Rafael
  • Publisher :Unknown
  • Release Date :2012-06-30
  • Total pages :372
  • ISBN : 9781466618046
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Summary : "This book explores the potential of utilizing medical data through the implementation of developed models in practical applications"--Provided by publisher.

Computational Intelligence for Technology Enhanced Learning

Computational Intelligence for Technology Enhanced Learning
  • Author : Fatos Xhafa,Santi Caballé,Ajith Abraham,Thanasis Daradoumis,Angel Alejandro Juan Perez
  • Publisher :Unknown
  • Release Date :2010-02-18
  • Total pages :250
  • ISBN : 9783642112232
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Summary : 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.

Computational Intelligent Data Analysis for Sustainable Development

Computational Intelligent Data Analysis for Sustainable Development
  • Author : Ting Yu,Nitesh Chawla,Simeon Simoff
  • Publisher :Unknown
  • Release Date :2016-04-19
  • Total pages :440
  • ISBN : 9781439895955
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Summary : 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

Intelligent Data Analysis
  • Author : Michael R. Berthold,David J Hand
  • Publisher :Unknown
  • Release Date :2007-06-07
  • Total pages :515
  • ISBN : 9783540486251
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Summary : 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.

Advances in Intelligent Data Analysis

Advances in Intelligent Data Analysis
  • Author : Anonim
  • Publisher :Unknown
  • Release Date :2003
  • Total pages :229
  • ISBN : UOM:39015047962322
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Summary :

Formative Assessment, Learning Data Analytics and Gamification

Formative Assessment, Learning Data Analytics and Gamification
  • Author : Santi Caballé,Robert Clarisó
  • Publisher :Unknown
  • Release Date :2016-05-10
  • Total pages :382
  • ISBN : 9780128036679
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Summary : Formative Assessment, Learning Data Analytics and Gamification: An ICT Education discusses the challenges associated with assessing student progress given the explosion of e-learning environments, such as MOOCs and online courses that incorporate activities such as design and modeling. This book shows educators how to effectively garner intelligent data from online educational environments that combine assessment and gamification. This data, when used effectively, can have a positive impact on learning environments and be used for building learner profiles, community building, and as a tactic to create a collaborative team. Using numerous illustrative examples and theoretical and practical results, leading international experts discuss application of automatic techniques for e-assessment of learning activities, methods to collect, analyze, and correctly visualize learning data in educational environments, applications, benefits and challenges of using gamification techniques in academic contexts, and solutions and strategies for increasing student participation and performance. Indexing: The books of this series are submitted to EI-Compendex and SCOPUS Discusses application of automatic techniques for e-assessment of learning activities Presents strategies to provide immediate and useful feedback on students’ activities Provides methods to collect, analyze, and correctly visualize learning data in educational environments Explains the applications, benefits, and challenges of using gamification techniques in academic contexts Offers solutions to increase students’ participation and performance while lowering drop-out rates and retention levels

Advances in Intelligent Data Analysis V

Advances in Intelligent Data Analysis V
  • Author : Frank Pfenning,ge International Conference on Intelligent Data Analysis 2003 Berlin
  • Publisher :Unknown
  • Release Date :2003-08-21
  • Total pages :624
  • ISBN : 3540408134
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Summary : 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.

Advances in Intelligent Data Analysis

Advances in Intelligent Data Analysis
  • Author : International Data Analysis (IDA). International conference (
  • Publisher :Unknown
  • Release Date :2001-09-05
  • Total pages :384
  • ISBN : 9783540425816
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Summary : Wewouldalsoliketoexpressourgratitudetothesponsors:Fundac˜ ¸ao paraaCiˆenciaeaTecnologia,Minist´eriodaCiˆenciaedaTecnologia,Faculdade deCiˆenciaseTecnologia,UniversidadeNovadeLisboa,Funda¸c˜aoCalousteG- benkianandIPEInvestimentoseParticipac˜ ¸oesEmpresariais,S. A. September2001 FrankHo?mann DavidJ. Hand NiallAdams GabrielaGuimaraes DougFisher Organization IDA2001wasorganizedbythedepartmentofComputerScience,NewUniversity ofLisbon. ConferenceCommittee GeneralChair: DouglasFisher(VanderbiltUniversity,USA) ProgramChairs: DavidJ. Hand(ImperialCollege,UK) NiallAdams(ImperialCollege,UK) ConferenceChair: GabrielaGuimaraes(NewUniversityofLisbon,Portugal) PublicityChair: FrankH¨oppner(Univ. ofAppl. SciencesEmden,Germany) PublicationChair: FrankHo?mann(RoyalInstituteofTechnology,Sweden) LocalChair: FernandoMoura-Pires(UniversityofEvora,Portugal) AreaChairs: RobertaSiciliano(UniversityofNaples,Italy) ArnoSiebes(CWI,TheNetherlands) PavelBrazdil(UniversityofPorto,Portugal) ProgramCommittee NiallAdams(ImperialCollege,UK) PieterAdriaans(Syllogic,TheNetherlands) RussellAlmond(EducationalTestingService,USA) ThomasB¨ack(InformatikCentrumDortmund,Germany) RiccardoBellazzi(UniversityofPavia,Italy) MichaelBerthold(Tripos,USA) LiuBing(NationalUniversityofSingapore) PaulCohen(UniversityofMassachusetts,USA) PaulDarius(LeuvenUniversity,Belgium) FazelFamili(NationalResearchCouncil,Canada) DouglasFisher(VanderbiltUniversity,USA) KarlFroeschl(UniversityofVienna,Austria) AlexGammerman(RoyalHolloway,UK) AdolfGrauel(UniversityofPaderborn,Germany) GabrielaGuimaraes(NewUniversityofLisbon,Portugal) LawrenceO. Hall(UniversityofSouthFlorida,USA) FrankHo?mann(RoyalInstituteofTechnology,Sweden) AdeleHowe(ColoradoStateUniversity,USA) Klaus-PeterHuber(SASInstitute,Germany) DavidJensen(UniversityofMassachusetts,USA) JoostKok(LeidenUniversity,TheNetherlands) RudolfKruse(UniversityofMagdeburg,Germany) FrankKlawonn(UniversityofAppliedSciencesEmden,Germany) VIII Organization HansLenz(FreeUniversityofBerlin,Germany) DavidMadigan(Soliloquy,USA) RainerMalaka(EuropeanMediaLaboratory,Germany) HeikkiMannila(Nokia,Finland) FernandoMouraPires(UniversityofEvora,Portugal) SusanaNascimento(UniversityofLisbon,Portugal) WayneOldford(UniversityofWaterloo,Canada) AlbertPrat(TechnicalUniversityofCatalunya,Spain) PeterProtzel(TechnicalUniversityChemnitz,Germany) GiacomodellaRiccia(UniversityofUdine,Italy) RosannaSchiavo(UniversityofVenice,Italy) KaisaSere(AboAkademiUniversity,Finland) RobertaSiciliano(UniversityofNaples,Italy) RosariaSilipo(Nuance,USA) FloorVerdenius(ATO-DLO,TheNetherlands) StefanWrobel(UniversityofMagdeburg,Germany) HuiXiaoLiu(BrunelUniversity,UK) NevinZhang(HongKongUniversityofScienceandTechnology,HongKong) SponsoringInstitutions Fundac˜ ¸aoparaaCiˆenciaeaTecnologia,Minist´eriodaCiˆenciaedaTecnologia FaculdadedeCiˆenciaseTecnologia,UniversidadeNovadeLisboa Fundac˜ ¸aoCalousteGulbenkian IPEInvestimentoseParticipac˜ ¸oesEmpresariais,S. A. TableofContents TheFourthInternationalSymposiumonIntelligentData Analysis FeatureCharacterizationinScienti?cDatasets. . . . . . . . . . . . . . . . . . . . . . . . . 1 ElizabethBradley(UniversityofColorado),NancyCollins(University ofColorado),W. PhilipKegelmeyer(SandiaNationalLaboratories) RelevanceFeedbackintheBayesianNetworkRetrievalModel: AnApproachBasedonTermInstantiation. . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 LuisM. deCampos(UniversityofGranada),JuanM. Fernan ´ dez–Luna (UniversityofJa´en),JuanF. Huete(UniversityofGranada) GeneratingFuzzySummariesfromFuzzyMultidimensionalDatabases. . . . 24 AnneLaurent(Universit´ePierreetMarieCurie) AMixture-of-ExpertsFrameworkforLearningfromImbalancedData Sets. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 AndrewEstabrooks(IBM),NathalieJapkowicz(UniversityofOttawa) PredictingTime-VaryingFunctionswithLocalModels. . . . . . . . . . . . . . . . . . 44 AchimLewandowski(ChemnitzUniversity),PeterProtzel(Chemn

Advances in Intelligent Data Analysis. Reasoning about Data

Advances in Intelligent Data Analysis. Reasoning about Data
  • Author : Xiaohui Liu,England) IDA-97 (2nd : 1997 : London,Paul Cohen,Michael R. Berthold
  • Publisher :Unknown
  • Release Date :1997-07-23
  • Total pages :620
  • ISBN : 3540633464
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Summary : This book constitutes the refereed proceedings of the Second International Symposium on Intelligent Data Analysis, IDA-97, held in London, UK, in August 1997. The volume presents 50 revised full papers selected from a total of 107 submissions. Also included is a keynote, Intelligent Data Analysis: Issues and Opportunities, by David J. Hand. The papers are organized in sections on exploratory data analysis, preprocessing and tools; classification and feature selection; medical applications; soft computing; knowledge discovery and data mining; estimation and clustering; data quality; qualitative models.

Advances in Intelligent Data Analysis VI

Advances in Intelligent Data Analysis VI
  • Author : A. Fazel Famili,Joost N. Kok,José M. Pena,Ad Feelders,Arno Siebes
  • Publisher :Unknown
  • Release Date :2005-08-30
  • Total pages :522
  • ISBN : 9783540287957
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Summary : This book constitutes the refereed proceedings of the 6th International Conference on Intelligent Data Analysis, IDA 2005, held in Madrid, Spain in September 2005. The 46 revised papers presented together with two tutorials and two invited talks were carefully reviewed and selected from 184 submissions. All current aspects of this interdisciplinary field are addressed; the areas covered include statistics, machine learning, data mining, classification and pattern recognition, clustering, applications, modeling, and interactive dynamic data visualization.

Intelligent Data Engineering and Automated Learning -- IDEAL 2011

Intelligent Data Engineering and Automated Learning -- IDEAL 2011
  • Author : Hujun Yin,Wenjia Wang,Victor J. Rayward-Smith
  • Publisher :Unknown
  • Release Date :2011-08-30
  • Total pages :513
  • ISBN : 9783642238772
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Summary : This book constitutes the refereed proceedings of the 12th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2011, held in Norwich, UK, in September 2011. The 59 revised full papers presented were carefully reviewed and selected from numerous submissions for inclusion in the book and present the latest theoretical advances and real-world applications in computational intelligence.

Intelligent Data Engineering and Automated Learning -- IDEAL 2012

Intelligent Data Engineering and Automated Learning -- IDEAL 2012
  • Author : Hujun Yin,Jose A.F. Costa,Guilherme Barreto
  • Publisher :Unknown
  • Release Date :2012-08-01
  • Total pages :862
  • ISBN : 9783642326394
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Summary : This book constitutes the refereed proceedings of the 13th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2012, held in Natal, Brazil, in August 2012. The 100 revised full papers presented were carefully reviewed and selected from more than 200 submissions for inclusion in the book and present the latest theoretical advances and real-world applications in computational intelligence.

Computational Modeling and Simulation of Intellect: Current State and Future Perspectives

Computational Modeling and Simulation of Intellect: Current State and Future Perspectives
  • Author : Igelnik, Boris
  • Publisher :Unknown
  • Release Date :2011-05-31
  • Total pages :686
  • ISBN : 9781609605520
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Summary : "This book confronts the problem of meaning by fusing together methods specific to different fields and exploring the computational efficiency and scalability of these methods"--Provided by publisher.

Intelligent Data Engineering and Automated Learning -- IDEAL 2014

Intelligent Data Engineering and Automated Learning -- IDEAL 2014
  • Author : Emilio Corchado,José A. Lozano,Héctor Quintián,Hujun Yin
  • Publisher :Unknown
  • Release Date :2014-08-13
  • Total pages :508
  • ISBN : 9783319108407
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Summary : This book constitutes the refereed proceedings of the 15th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2014, held in Salamanca, Spain, in September 2014. The 60 revised full papers presented were carefully reviewed and selected from about 120 submissions. These papers provided a valuable collection of recent research outcomes in data engineering and automated learning, from methodologies, frameworks, and techniques to applications. In addition the conference provided a good sample of current topics from methodologies, frameworks, and techniques to applications and case studies. The techniques include computational intelligence, big data analytics, social media techniques, multi-objective optimization, regression, classification, clustering, biological data processing, text processing, and image/video analysis.

Intelligent Data Engineering and Automated Learning – IDEAL 2008

Intelligent Data Engineering and Automated Learning – IDEAL 2008
  • Author : Colin Fyfe,Dongsup Kim,Soo-Young Lee,Hujun Yin
  • Publisher :Unknown
  • Release Date :2008-10-08
  • Total pages :534
  • ISBN : 9783540889052
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Summary : This book constitutes the refereed proceedings of the 9th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2008, held in Daejeon, Korea, in November 2008. The 56 revised full papers presented together with 10 invited papers were carefully reviewed and selected from numerous submissions for inclusion in the book. The papers are organized in topical sections on learning and information processing, data mining and information management, bioinformatics and neuroinformatics, agents and distributed systems, as well as financial engineering and modeling.