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International Journal of Data Science and Analytics最新文献

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Lost in data: recognizing type of time series sensor data using signal pattern classification 丢失在数据:识别类型的时间序列传感器数据使用信号模式分类
IF 2.4
International Journal of Data Science and Analytics Pub Date : 2023-07-03 DOI: 10.1007/s41060-023-00413-9
Jelena Čulić Gambiroža, Toni Mastelić, Ivana Nižetić Kosović, Mario Cagalj
{"title":"Lost in data: recognizing type of time series sensor data using signal pattern classification","authors":"Jelena Čulić Gambiroža, Toni Mastelić, Ivana Nižetić Kosović, Mario Cagalj","doi":"10.1007/s41060-023-00413-9","DOIUrl":"https://doi.org/10.1007/s41060-023-00413-9","url":null,"abstract":"","PeriodicalId":45667,"journal":{"name":"International Journal of Data Science and Analytics","volume":"7 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76220072","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
Regression model and method settings for air pollution status analysis based on air quality data in Beijing (2017–2021) 基于北京市2017-2021年空气质量数据的大气污染状况回归模型及方法设置
IF 2.4
International Journal of Data Science and Analytics Pub Date : 2023-07-03 DOI: 10.1007/s41060-023-00415-7
Shiyun Wa, Xinai Lu, Minjuan Wang
{"title":"Regression model and method settings for air pollution status analysis based on air quality data in Beijing (2017–2021)","authors":"Shiyun Wa, Xinai Lu, Minjuan Wang","doi":"10.1007/s41060-023-00415-7","DOIUrl":"https://doi.org/10.1007/s41060-023-00415-7","url":null,"abstract":"","PeriodicalId":45667,"journal":{"name":"International Journal of Data Science and Analytics","volume":"4 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78818765","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
Granger causality-based cluster sequence mining for spatio-temporal causal relation mining 基于Granger因果关系的聚类序列挖掘用于时空因果关系挖掘
IF 2.4
International Journal of Data Science and Analytics Pub Date : 2023-07-03 DOI: 10.1007/s41060-023-00411-x
Nat Pavasant, Takashi Morita, M. Numao, Ken-ichi Fukui
{"title":"Granger causality-based cluster sequence mining for spatio-temporal causal relation mining","authors":"Nat Pavasant, Takashi Morita, M. Numao, Ken-ichi Fukui","doi":"10.1007/s41060-023-00411-x","DOIUrl":"https://doi.org/10.1007/s41060-023-00411-x","url":null,"abstract":"","PeriodicalId":45667,"journal":{"name":"International Journal of Data Science and Analytics","volume":"40 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88899936","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
Cluster weighted model based on TSNE algorithm for high-dimensional data 基于TSNE算法的高维数据聚类加权模型
International Journal of Data Science and Analytics Pub Date : 2023-07-01 DOI: 10.1007/s41060-023-00422-8
Kehinde Olobatuyi, Matthew R. P. Parker, Oludare Ariyo
{"title":"Cluster weighted model based on TSNE algorithm for high-dimensional data","authors":"Kehinde Olobatuyi, Matthew R. P. Parker, Oludare Ariyo","doi":"10.1007/s41060-023-00422-8","DOIUrl":"https://doi.org/10.1007/s41060-023-00422-8","url":null,"abstract":"Cluster-weighted models (CWMs) are an important class of machine learning models that are commonly used for modelling complex datasets. However, they are known to suffer from reduced computing efficiency and estimator accuracy when dealing with high-dimensional data. Previous work has proposed a parsimonious technique that can improve CWMs’ performance in the high-dimensional data paradigm. However, this method has a setback for very high-dimensional data, where the dimensionality is greater than 100. In this paper, we propose a new hybridised method that incorporates a dimensionality reduction technique called T-distributed stochastic neighbour embedding (TSNE) to enhance the parsimonious CWMs in high-dimensional space. Additionally, we introduce a novel heuristic for detecting the hidden components of the underlying mixture model, which can be used with the popular R package FlexCWM. We evaluated the performance of the proposed method using two real datasets and found that it improves clustering power when compared to both the parsimony methods and the TSNE methods combined with CWMs in the high-dimensional data setting. Our results suggest that the proposed method can improve the efficiency and accuracy of CWMs in dealing with high-dimensional data, making it a valuable tool for data scientists and statisticians.","PeriodicalId":45667,"journal":{"name":"International Journal of Data Science and Analytics","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136185133","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
Bayesian learning models to measure the relative impact of ESG factors on credit ratings 贝叶斯学习模型衡量ESG因素对信用评级的相对影响
IF 2.4
International Journal of Data Science and Analytics Pub Date : 2023-07-01 DOI: 10.1007/s41060-023-00405-9
Arianna Agosto, P. Cerchiello, Paolo Giudici
{"title":"Bayesian learning models to measure the relative impact of ESG factors on credit ratings","authors":"Arianna Agosto, P. Cerchiello, Paolo Giudici","doi":"10.1007/s41060-023-00405-9","DOIUrl":"https://doi.org/10.1007/s41060-023-00405-9","url":null,"abstract":"","PeriodicalId":45667,"journal":{"name":"International Journal of Data Science and Analytics","volume":"89 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90583311","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
Efficient graph-based spectral techniques for data with few labeled samples 具有少量标记样本的数据的高效基于图的光谱技术
IF 2.4
International Journal of Data Science and Analytics Pub Date : 2023-07-01 DOI: 10.1007/s41060-023-00403-x
E. Merkurjev
{"title":"Efficient graph-based spectral techniques for data with few labeled samples","authors":"E. Merkurjev","doi":"10.1007/s41060-023-00403-x","DOIUrl":"https://doi.org/10.1007/s41060-023-00403-x","url":null,"abstract":"","PeriodicalId":45667,"journal":{"name":"International Journal of Data Science and Analytics","volume":"65 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81380059","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
Graph-based comparative analysis of learning to rank datasets 基于图的比较分析学习排序数据集
IF 2.4
International Journal of Data Science and Analytics Pub Date : 2023-06-30 DOI: 10.1007/s41060-023-00406-8
A. Keyhanipour
{"title":"Graph-based comparative analysis of learning to rank datasets","authors":"A. Keyhanipour","doi":"10.1007/s41060-023-00406-8","DOIUrl":"https://doi.org/10.1007/s41060-023-00406-8","url":null,"abstract":"","PeriodicalId":45667,"journal":{"name":"International Journal of Data Science and Analytics","volume":"14 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80443400","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
Empirical assessment of transformer-based neural network architecture in forecasting pollution trends 基于变压器的神经网络结构在污染趋势预测中的实证评价
IF 2.4
International Journal of Data Science and Analytics Pub Date : 2023-06-30 DOI: 10.1007/s41060-023-00421-9
Pritthijit Nath, Asif Iqbal Middya, Sarbani Roy
{"title":"Empirical assessment of transformer-based neural network architecture in forecasting pollution trends","authors":"Pritthijit Nath, Asif Iqbal Middya, Sarbani Roy","doi":"10.1007/s41060-023-00421-9","DOIUrl":"https://doi.org/10.1007/s41060-023-00421-9","url":null,"abstract":"","PeriodicalId":45667,"journal":{"name":"International Journal of Data Science and Analytics","volume":"33 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87622077","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
Data science for next-generation recommender systems 下一代推荐系统的数据科学
IF 2.4
International Journal of Data Science and Analytics Pub Date : 2023-06-29 DOI: 10.1007/s41060-023-00404-w
Shoujin Wang, Yan Wang, F. Sivrikaya, S. Albayrak, V. W. Anelli
{"title":"Data science for next-generation recommender systems","authors":"Shoujin Wang, Yan Wang, F. Sivrikaya, S. Albayrak, V. W. Anelli","doi":"10.1007/s41060-023-00404-w","DOIUrl":"https://doi.org/10.1007/s41060-023-00404-w","url":null,"abstract":"","PeriodicalId":45667,"journal":{"name":"International Journal of Data Science and Analytics","volume":"98 1","pages":"135 - 145"},"PeriodicalIF":2.4,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85834333","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
Improving trust and confidence in medical skin lesion diagnosis through explainable deep learning 通过可解释的深度学习提高对医学皮肤病变诊断的信任和信心
IF 2.4
International Journal of Data Science and Analytics Pub Date : 2023-06-21 DOI: 10.1007/s41060-023-00401-z
C. Metta, Andrea Beretta, Riccardo Guidotti, Yuan Yin, P. Gallinari, S. Rinzivillo, F. Giannotti
{"title":"Improving trust and confidence in medical skin lesion diagnosis through explainable deep learning","authors":"C. Metta, Andrea Beretta, Riccardo Guidotti, Yuan Yin, P. Gallinari, S. Rinzivillo, F. Giannotti","doi":"10.1007/s41060-023-00401-z","DOIUrl":"https://doi.org/10.1007/s41060-023-00401-z","url":null,"abstract":"","PeriodicalId":45667,"journal":{"name":"International Journal of Data Science and Analytics","volume":"25 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74379265","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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