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Toward a Decision Support System for Regulation in an Urban Transport Network 城市交通网络调控决策支持系统研究
Int. J. Strateg. Inf. Technol. Appl. Pub Date : 2018-04-01 DOI: 10.4018/IJSITA.2018040101
Khadidja Yachba, Zakaria Bendaoud, K. Bouamrane
{"title":"Toward a Decision Support System for Regulation in an Urban Transport Network","authors":"Khadidja Yachba, Zakaria Bendaoud, K. Bouamrane","doi":"10.4018/IJSITA.2018040101","DOIUrl":"https://doi.org/10.4018/IJSITA.2018040101","url":null,"abstract":"Inthisarticle,asolutiontotheproblemofperturbationintheurbantransportnetwork hasbeenproposed.Thissolutionisbasedonthemulticriteriadecisionsupportmethod, whichisanefficientwayofidentifyingappropriatesolutionstodifferentperturbations situations.Theproposedmodelshouldprovidesynthesis,evaluationandupdatingof availableinformationinordertofacilitatethetaskofthenetworkmonitoringoperator.To achievethisobjective,theauthorsproposeformalmodelingoftheperturbationconcept throughaneffectiveandaboveallsignificantdecisionsupportsystemexploitingthe diversityofthecriteriaaswellasthedecisionmaker’ssubjectivity.Thismodelingmakes itpossible tocapitalize theknowledgeavailablewithinacheckpointand tomonitor theprocess.Theauthorsshowhow,fromtheinformationavailableonthenetwork,the modelingoftheprocessrepresentedbyaperturbationmakesitpossibletoenrichthe possibilitiesofevaluationofthestateofthenetwork. KeywoRDS Bus, Decision Support System, Line, Multi-Criteria Method, Perturbation, Shifting, Transport, Urban Transport Network","PeriodicalId":201145,"journal":{"name":"Int. J. Strateg. Inf. Technol. Appl.","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122098299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Ontology Authoring and Linked Data Generation from Web Applications 本体创作和Web应用程序的关联数据生成
Int. J. Strateg. Inf. Technol. Appl. Pub Date : 2017-10-01 DOI: 10.4018/IJSITA.2017100105
Benamar Bouougada, D. Bouchiha, Abdelghani Bouziane, M. Malki
{"title":"Ontology Authoring and Linked Data Generation from Web Applications","authors":"Benamar Bouougada, D. Bouchiha, Abdelghani Bouziane, M. Malki","doi":"10.4018/IJSITA.2017100105","DOIUrl":"https://doi.org/10.4018/IJSITA.2017100105","url":null,"abstract":"","PeriodicalId":201145,"journal":{"name":"Int. J. Strateg. Inf. Technol. Appl.","volume":" 41","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132094192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Personalized Online Analytical Processing in Big Data Context Using User Profile and Search Context 基于用户配置文件和搜索上下文的大数据环境下的个性化在线分析处理
Int. J. Strateg. Inf. Technol. Appl. Pub Date : 2017-10-01 DOI: 10.4018/IJSITA.2017100106
Menaceur Sadek, M. Derdour, Abdelkrim Bouramoul
{"title":"Personalized Online Analytical Processing in Big Data Context Using User Profile and Search Context","authors":"Menaceur Sadek, M. Derdour, Abdelkrim Bouramoul","doi":"10.4018/IJSITA.2017100106","DOIUrl":"https://doi.org/10.4018/IJSITA.2017100106","url":null,"abstract":"Thisarticleispartofthefieldofanalysisandpersonalizationoflargedatasets(BigData).This aspectofanalysisandcustomizationhasbecomeamajorissuethathasgeneratedalotofquestions inrecentyears.Indeed,itisdifficultforinexperiencedorcasualuserstoextractrelevantinformation inaBigDatacontext,forvolume,thevelocityandthevariabilityofdatamakeitdifficultforthe usertocapture,manageandprocessdatabymethodsandtraditionaltools.Inthisarticle,theauthors proposeanewapproachforpersonalizingOLAPanalysisinaBigDatacontextbyusingcontextand userprofile.Theproposedapproachisbasedonfivecomplementarylayersnamely:Externlayer,layer fortheformulationofthecontextsdefinedinthesystem,profilingandqueryinglayerandlayerfor theconstructionofpersonalizedOLAPcubesandafinaloneformultidimensionalanalysiscubes. Theconductedexperimenthasshownthattakingcontextanduserprofileintoaccountimprovesthe resultsofonlineanalyticalprocessinginthecontextofBigData. KeywORDS Big Data, OLAP, Personalization, User Profile, User Query","PeriodicalId":201145,"journal":{"name":"Int. J. Strateg. Inf. Technol. Appl.","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126645877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
An Unsupervised Entity Resolution Framework for English and Arabic Datasets 英文和阿拉伯文数据集的无监督实体解析框架
Int. J. Strateg. Inf. Technol. Appl. Pub Date : 2017-10-01 DOI: 10.4018/IJSITA.2017100102
Abdelkrim Ouhab, M. Malki, Djamel Berrabah, F. Boufarès
{"title":"An Unsupervised Entity Resolution Framework for English and Arabic Datasets","authors":"Abdelkrim Ouhab, M. Malki, Djamel Berrabah, F. Boufarès","doi":"10.4018/IJSITA.2017100102","DOIUrl":"https://doi.org/10.4018/IJSITA.2017100102","url":null,"abstract":"Entity resolution ER is an important step in data integration and in many data mining projects; its goal is to identify records that refer to the same real-world entity. Most existing ER frameworks have focused on datasets in Latin-based languages and do not support Arabic language. In this article, the authors present an unsupervised ER framework that supports English and Arabic datasets. Rather than using matching rules developed by an expert or manually labeled training examples, the proposed framework automatically generates its own training set. The generated training set is then used to train a classifier and learn a classification model. Finally, the learned classification model is used to perform ER. The proposed framework was implemented and tested on three Arabic datasets and four English datasets. Experimental results show that the proposed framework is competitive with supervised approaches and outperform recently proposed unsupervised approaches in terms of F-measure.","PeriodicalId":201145,"journal":{"name":"Int. J. Strateg. Inf. Technol. Appl.","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128733134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Plagiarism Detection in Marathi Language Using Semantic Analysis 基于语义分析的马拉地语剽窃检测
Int. J. Strateg. Inf. Technol. Appl. Pub Date : 2017-10-01 DOI: 10.4018/IJSITA.2017100103
R. Naik, Maheshkumar B. Landge, C. Mahender
{"title":"Plagiarism Detection in Marathi Language Using Semantic Analysis","authors":"R. Naik, Maheshkumar B. Landge, C. Mahender","doi":"10.4018/IJSITA.2017100103","DOIUrl":"https://doi.org/10.4018/IJSITA.2017100103","url":null,"abstract":"In this article, the authors have proposed a method to detect plagiarism in the Marathi language by using semantic analysis. Nowadays, plagiarism is a challenging task in educational and research fields. Currently, there are some tools available to detect the plagiarism on the basis of similarity of words. But there is no tool available to detect the plagiarism semantically. In this article, the authors have applied preprocessing to a database i.e. tokenization, removed stop words and punctuations, for the goal of calculating the frequency of words. Then searching the same word or synonyms of words in wordnet to detect the semantic plagiarism. It is useful for many researchers who are working in this domain.","PeriodicalId":201145,"journal":{"name":"Int. J. Strateg. Inf. Technol. Appl.","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125025710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Dynamic Data Replication Based on Tasks scheduling for Cloud Computing Environment 云计算环境下基于任务调度的动态数据复制
Int. J. Strateg. Inf. Technol. Appl. Pub Date : 2017-10-01 DOI: 10.4018/IJSITA.2017100104
Siham Kouidri, Belabbes Yagoubi
{"title":"Dynamic Data Replication Based on Tasks scheduling for Cloud Computing Environment","authors":"Siham Kouidri, Belabbes Yagoubi","doi":"10.4018/IJSITA.2017100104","DOIUrl":"https://doi.org/10.4018/IJSITA.2017100104","url":null,"abstract":"Cloud computing provides IT resources (e.g., CPU, memory, network, storage, etc.) based on virtualizationconceptsandapay-as-you-goprinciple.Itcomprisesanaccumulationofinter-related plusvirtualizedcalculatingresourceswhicharemanagedbyoneormoreamalgamatedcalculating resources. With the development of a computerized scientific workflow, the amount of data is increasingexponentially.Workflowschedulinganddatareplicationhavebeenconsideredthemajor challengesincloudcomputing.Nevertheless,manyresearchersfocusonschedulingordatareplication separately.Inthisarticle,acombinationofworkflowschedulingbasedontheclusteringofdataand dynamicdatareplicationstrategies,hasbeenintroducedtogetherandevaluatesseveralperformance metricsusingaCloudsimsimulator.Theaimofthisproposedalgorithmistominimizethecompletion timeandtransfertime.Theperformanceofthisproposedalgorithmhasbeenevaluatedusingthe CloudSimtoolkit. KEywoRDS Cloud Computing, Clustering, Dynamic Replication, Scheduling, Scientific Workflow, Virtual Machines","PeriodicalId":201145,"journal":{"name":"Int. J. Strateg. Inf. Technol. Appl.","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127669431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Privacy Preserving Data Mining Using Time Series Data Aggregation 基于时间序列数据聚合的隐私保护数据挖掘
Int. J. Strateg. Inf. Technol. Appl. Pub Date : 2017-10-01 DOI: 10.4018/IJSITA.2017100101
Sivaranjani Reddi
{"title":"Privacy Preserving Data Mining Using Time Series Data Aggregation","authors":"Sivaranjani Reddi","doi":"10.4018/IJSITA.2017100101","DOIUrl":"https://doi.org/10.4018/IJSITA.2017100101","url":null,"abstract":"This article proposes a mechanism to provide privacy to mined results by assuming that the data is distributed across many nodes. The first objective includes mining the query results by the node in a cluster, communicating it to the cluster head, aggregating the data collected from all the cluster nodes and then communicating it to the group controller. The second objective is to incorporate privacy at each level of the clusters node: cluster head and the group controller level. The final objective is to provide a dynamic network feature, where the nodes can join or leave the distributed network without disturbing the network functionality. The proposed algorithm was implemented and validated in Java for its performance in terms of communication costs computational complexity.","PeriodicalId":201145,"journal":{"name":"Int. J. Strateg. Inf. Technol. Appl.","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123357189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Survey on Bio-Inspired Method for Detection of Spamming 基于生物启发的垃圾邮件检测方法研究进展
Int. J. Strateg. Inf. Technol. Appl. Pub Date : 2017-07-01 DOI: 10.4018/IJSITA.2017070101
Mebarka Yahlali
{"title":"A Survey on Bio-Inspired Method for Detection of Spamming","authors":"Mebarka Yahlali","doi":"10.4018/IJSITA.2017070101","DOIUrl":"https://doi.org/10.4018/IJSITA.2017070101","url":null,"abstract":"Theobjectiveofthisworkistoshowtheimportanceofbi-inspirationSPAMfiltering.Toachieve thisgoal,theauthorcomparedtwomethods:SocialbeesvsinspirationfromtheHumanRenal.The inspirationistakenfromabiologicalmodel.Messagesareindexedandrepresentedbythen-gram wordsandcharactersindependentoflanguages(becausemessagecanbereceivedinanylanguage). Theresultsarepromisingandprovideanimportantwayfortheuseofthismodelforsolvingother problemsindatamining.Theauthorstartsthisarticlewithashortintroductionwherethereaders willseetheimportanceofITsecurity—especiallytoday.Theauthorthenexplainsandexperiments onatwooriginalmeta-heuristicsandexplainsthenaturalmodelandthentheartificialmodel. KeywoRDS Bio-Inspiration, Comparative, Meta-Heuristic, Renal System, Social Bees, Spamming","PeriodicalId":201145,"journal":{"name":"Int. J. Strateg. Inf. Technol. Appl.","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124230877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Towards A Decision Support System for Optimization of Container Placement in a Container Terminal 集装箱码头集装箱布局优化决策支持系统研究
Int. J. Strateg. Inf. Technol. Appl. Pub Date : 2017-07-01 DOI: 10.4018/IJSITA.2017070104
Zakaria Bendaoud, Khadidja Yachba
{"title":"Towards A Decision Support System for Optimization of Container Placement in a Container Terminal","authors":"Zakaria Bendaoud, Khadidja Yachba","doi":"10.4018/IJSITA.2017070104","DOIUrl":"https://doi.org/10.4018/IJSITA.2017070104","url":null,"abstract":"","PeriodicalId":201145,"journal":{"name":"Int. J. Strateg. Inf. Technol. Appl.","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124053363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Yet Another Multidimensional Model for XML Documents XML文档的另一个多维模型
Int. J. Strateg. Inf. Technol. Appl. Pub Date : 2017-07-01 DOI: 10.4018/IJSITA.2017070105
M. Azabou, Kaïs Khrouf, J. Feki, C. Soulé-Dupuy, N. Vallès-Parlangeau
{"title":"Yet Another Multidimensional Model for XML Documents","authors":"M. Azabou, Kaïs Khrouf, J. Feki, C. Soulé-Dupuy, N. Vallès-Parlangeau","doi":"10.4018/IJSITA.2017070105","DOIUrl":"https://doi.org/10.4018/IJSITA.2017070105","url":null,"abstract":"The Diamond model is a multidimensional model dedicated to XML document warehouses. It considers structured and unstructured data simultaneously. Furthermore, it orders the semantics of documents via a specific semantic dimension linked to conventional dimensions, thus breaking the classical orthogonality rule of dimensions. After giving an overview of their three-phase quasi-automatic approach for the generation of the diamond model, the authors focus on the Diamond-Gen software tool that supports the proposed approach. The authors illustrate the Diamond-Gen functionalities and assess it through an experimental study using a set of 1500 XML documents issued from the PubMed collection.","PeriodicalId":201145,"journal":{"name":"Int. J. Strateg. Inf. Technol. Appl.","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134265640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
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