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International Journal of Data Analysis Techniques and Strategies最新文献

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Is matching in different situations equally applicable for impact evaluation studies when using observational data 当使用观测数据时，不同情况下的匹配是否同样适用于影响评价研究
International Journal of Data Analysis Techniques and Strategies Pub Date : 2022-01-01 DOI: 10.1504/ijdats.2022.10045665
Ghulam-Muhammad Shah, Farid Ahmad, Apsara Karki Nepal
{"title":"Is matching in different situations equally applicable for impact evaluation studies when using observational data","authors":"Ghulam-Muhammad Shah, Farid Ahmad, Apsara Karki Nepal","doi":"10.1504/ijdats.2022.10045665","DOIUrl":"https://doi.org/10.1504/ijdats.2022.10045665","url":null,"abstract":"","PeriodicalId":38582,"journal":{"name":"International Journal of Data Analysis Techniques and Strategies","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66730251","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
Detection of stragglers and optimal rescheduling of slow running tasks in big data environment using LFCSO-LVQ classifier and enhanced PSO algorithm 基于LFCSO-LVQ分类器和增强PSO算法的大数据环境下掉队者检测及慢速任务优化重调度
International Journal of Data Analysis Techniques and Strategies Pub Date : 2022-01-01 DOI: 10.1504/ijdats.2022.10045661
Hetal A. Joshiara, Chirag S. Thaker, Sanjay M. Shah, D. Choksi
{"title":"Detection of stragglers and optimal rescheduling of slow running tasks in big data environment using LFCSO-LVQ classifier and enhanced PSO algorithm","authors":"Hetal A. Joshiara, Chirag S. Thaker, Sanjay M. Shah, D. Choksi","doi":"10.1504/ijdats.2022.10045661","DOIUrl":"https://doi.org/10.1504/ijdats.2022.10045661","url":null,"abstract":"","PeriodicalId":38582,"journal":{"name":"International Journal of Data Analysis Techniques and Strategies","volume":"42 5 1","pages":"1-21"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72646466","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 methodical evaluation of classifiers in predicting academic performance for a multi-class approach 分类器在多类方法中预测学习成绩的系统评价
International Journal of Data Analysis Techniques and Strategies Pub Date : 2021-09-23 DOI: 10.1504/ijdats.2021.118024
A. P. Christy, N. Rama
{"title":"A methodical evaluation of classifiers in predicting academic performance for a multi-class approach","authors":"A. P. Christy, N. Rama","doi":"10.1504/ijdats.2021.118024","DOIUrl":"https://doi.org/10.1504/ijdats.2021.118024","url":null,"abstract":"Predictive analytics has gained importance in recent years as it helps to proactively identify factors that contribute to the success or failure of an event in the relevant field. Academic achievem...","PeriodicalId":38582,"journal":{"name":"International Journal of Data Analysis Techniques and Strategies","volume":"164 1","pages":"207-226"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76026816","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
Improving sentiment analysis using preprocessing techniques and lexical patterns 使用预处理技术和词汇模式改进情感分析
International Journal of Data Analysis Techniques and Strategies Pub Date : 2021-09-23 DOI: 10.1504/ijdats.2021.118022
S. Cagnoni, Laura Ferrari, Paolo Fornacciari, M. Mordonini, Laura Sani, M. Tomaiuolo
{"title":"Improving sentiment analysis using preprocessing techniques and lexical patterns","authors":"S. Cagnoni, Laura Ferrari, Paolo Fornacciari, M. Mordonini, Laura Sani, M. Tomaiuolo","doi":"10.1504/ijdats.2021.118022","DOIUrl":"https://doi.org/10.1504/ijdats.2021.118022","url":null,"abstract":"Sentiment analysis has recently gained considerable attention, since the classification of the emotional content of a text (online reviews, blog messages etc.) may have a relevant impact on market ...","PeriodicalId":38582,"journal":{"name":"International Journal of Data Analysis Techniques and Strategies","volume":"189 1","pages":"171-185"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77767784","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
Microarray cancer classification using feature extraction-based ensemble learning method 基于特征提取的集成学习方法的微阵列癌症分类
International Journal of Data Analysis Techniques and Strategies Pub Date : 2021-09-23 DOI: 10.1504/ijdats.2021.118014
Anita Bai, Swati Hira
{"title":"Microarray cancer classification using feature extraction-based ensemble learning method","authors":"Anita Bai, Swati Hira","doi":"10.1504/ijdats.2021.118014","DOIUrl":"https://doi.org/10.1504/ijdats.2021.118014","url":null,"abstract":"Microarray cancer datasets generally contain many features with a small number of samples, so initially we need to reduce redundant features to allow faster convergence. To address this issue, we p...","PeriodicalId":38582,"journal":{"name":"International Journal of Data Analysis Techniques and Strategies","volume":"112 1","pages":"244-263"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73561877","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 one-class classification approach based on SVDD for imbalanced and overlapping classes 一种基于SVDD的类不平衡和重叠的单类分类方法
International Journal of Data Analysis Techniques and Strategies Pub Date : 2021-01-01 DOI: 10.1504/ijdats.2021.10040029
SeyyedMohammad JavadiMoghaddam, Reyhane Rateghi
{"title":"A one-class classification approach based on SVDD for imbalanced and overlapping classes","authors":"SeyyedMohammad JavadiMoghaddam, Reyhane Rateghi","doi":"10.1504/ijdats.2021.10040029","DOIUrl":"https://doi.org/10.1504/ijdats.2021.10040029","url":null,"abstract":"","PeriodicalId":38582,"journal":{"name":"International Journal of Data Analysis Techniques and Strategies","volume":"43 1","pages":"291-301"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84533782","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 knowledge warehousing: application to smart housing 迈向知识仓库:在智能住宅中的应用
International Journal of Data Analysis Techniques and Strategies Pub Date : 2021-01-01 DOI: 10.1504/ijdats.2021.10025610
Hadjer Moulai, H. Drias
{"title":"Towards knowledge warehousing: application to smart housing","authors":"Hadjer Moulai, H. Drias","doi":"10.1504/ijdats.2021.10025610","DOIUrl":"https://doi.org/10.1504/ijdats.2021.10025610","url":null,"abstract":"","PeriodicalId":38582,"journal":{"name":"International Journal of Data Analysis Techniques and Strategies","volume":"75 1","pages":"107-127"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80656280","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
Evaluating information criteria in latent class analysis: application to identify classes of breast cancer dataset 评估潜在分类分析中的信息标准:用于识别乳腺癌数据集的分类
International Journal of Data Analysis Techniques and Strategies Pub Date : 2021-01-01 DOI: 10.1504/IJDATS.2021.114669
Abdallah Abarda, Mohamed Dakkon, Khawla Asmi, Youssef Bentaleb
{"title":"Evaluating information criteria in latent class analysis: application to identify classes of breast cancer dataset","authors":"Abdallah Abarda, Mohamed Dakkon, Khawla Asmi, Youssef Bentaleb","doi":"10.1504/IJDATS.2021.114669","DOIUrl":"https://doi.org/10.1504/IJDATS.2021.114669","url":null,"abstract":": In recent studies, latent class analysis (LCA) modelling has been proposed as a convenient alternative to standard classification methods. It has become a popular tool for clustering respondents into homogeneous subgroups based on their responses on a set of categorical variables. The absence of a common accepted statistical indicator for deciding the number of classes in the study of population represents one of the major unresolved issues in the application of the LCA. Determining the number of classes constituting the profiles of a given population is often done by using the likelihood ratio test, however the use of such methodology is not correct theoretically. To overcome this problem, we propose an alternative for the classical latent class models selection methods based on the information criteria. This article aims to investigate the performance of information criteria for selecting the latent class analysis models. Nine information criteria are compared under various sample sizes and model dimensionality. We propose also an application of ICs to select the best model of breast cancer dataset.","PeriodicalId":38582,"journal":{"name":"International Journal of Data Analysis Techniques and Strategies","volume":"37 1","pages":"72-87"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83575084","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
Improving social media engagements on paid and non-paid advertisements: a data mining approach 提高付费和非付费广告的社交媒体参与度:一种数据挖掘方法
International Journal of Data Analysis Techniques and Strategies Pub Date : 2021-01-01 DOI: 10.1504/IJDATS.2021.114668
Jen-peng Huang, Genesis Sembiring Depari
{"title":"Improving social media engagements on paid and non-paid advertisements: a data mining approach","authors":"Jen-peng Huang, Genesis Sembiring Depari","doi":"10.1504/IJDATS.2021.114668","DOIUrl":"https://doi.org/10.1504/IJDATS.2021.114668","url":null,"abstract":": The purpose of this research is to develop a strategy to improve the number of social media engagement on Facebook both for paid and non-paid publications through a data mining approach. Several Facebook post characteristics were weighted in order to rank the input variables importance. Three machine learning algorithms performance along with dynamic parameters were compared in order to obtain a robust algorithm in assessing the importance of several input factors. Random forest is found as the most powerful algorithm with 79% accuracy and therefore used to analyse the importance of input factors in order to improve the number of engagements of social media posts. Eventually, total page likes (number of page follower) of a company Facebook page are found as the most important factor in order to have more social media engagements both for paid and non-paid publications. We also propose a managerial implication on how to improve the number of engagements in company social media.","PeriodicalId":38582,"journal":{"name":"International Journal of Data Analysis Techniques and Strategies","volume":"46 1","pages":"88-106"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86220940","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
Ranking enterprise reputation in the digital age: a survey of traditional methods and the need for more agile approaches 数字时代的企业声誉排名:对传统方法的调查和对更敏捷方法的需求
International Journal of Data Analysis Techniques and Strategies Pub Date : 2021-01-01 DOI: 10.1504/ijdats.2021.10043773
C. G. Corlu, Anita Goyal, David López-López, R. D. L. Torre, A. Juan
{"title":"Ranking enterprise reputation in the digital age: a survey of traditional methods and the need for more agile approaches","authors":"C. G. Corlu, Anita Goyal, David López-López, R. D. L. Torre, A. Juan","doi":"10.1504/ijdats.2021.10043773","DOIUrl":"https://doi.org/10.1504/ijdats.2021.10043773","url":null,"abstract":"","PeriodicalId":38582,"journal":{"name":"International Journal of Data Analysis Techniques and Strategies","volume":"14 1","pages":"265-290"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74164304","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
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