{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:13:15Z","timestamp":1750219995257,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":22,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,9,29]],"date-time":"2022-09-29T00:00:00Z","timestamp":1664409600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,9,29]]},"DOI":"10.1145\/3570236.3570267","type":"proceedings-article","created":{"date-parts":[[2023,1,27]],"date-time":"2023-01-27T14:00:21Z","timestamp":1674828021000},"page":"1-4","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Research on the construction of multiple linear regression model based on satisfaction"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9240-8879","authenticated-orcid":false,"given":"Jufang","family":"Lv","sequence":"first","affiliation":[{"name":"Wuhan Business University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5006-0691","authenticated-orcid":false,"given":"Huaiyuan","family":"Liu","sequence":"additional","affiliation":[{"name":"Hubei University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5824-7095","authenticated-orcid":false,"given":"Jing","family":"Su","sequence":"additional","affiliation":[{"name":"Wuhan Business University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,1,27]]},"reference":[{"key":"#cr-split#-e_1_3_2_1_1_1.1","doi-asserted-by":"crossref","unstructured":"Ahuja Nikky 2022.Customer satisfaction model in cloud computing environment. JIMS8I International Journal of Information Communication and Computing Technology.9 2(Sep.2022) 513-520. DOI:10.5958\/2347-7202.2021.00009.8. 10.5958\/2347-7202.2021.00009.8","DOI":"10.5958\/2347-7202.2021.00009.8"},{"key":"#cr-split#-e_1_3_2_1_1_1.2","doi-asserted-by":"crossref","unstructured":"Ahuja Nikky 2022.Customer satisfaction model in cloud computing environment. JIMS8I International Journal of Information Communication and Computing Technology.9 2(Sep.2022) 513-520. DOI:10.5958\/2347-7202.2021.00009.8.","DOI":"10.5958\/2347-7202.2021.00009.8"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1155\/2022\/6510934","article-title":"Implementation of Combined Machine Learning with the Big Data Model in IoMT Systems for the Prediction of Network Resource Consumption and Improving the Data Delivery","volume":"2022","author":"Sugadev M.","year":"2022","unstructured":"Sugadev M. 2022 . Implementation of Combined Machine Learning with the Big Data Model in IoMT Systems for the Prediction of Network Resource Consumption and Improving the Data Delivery . Computational Intelligence and Neuroscience. 2022 , 20 (Oct.2022),6510934-6510934. DOI:https:\/\/doi.org\/10.1155\/2022\/6510934. 10.1155\/2022 Sugadev M. 2022.Implementation of Combined Machine Learning with the Big Data Model in IoMT Systems for the Prediction of Network Resource Consumption and Improving the Data Delivery. Computational Intelligence and Neuroscience.2022, 20 (Oct.2022),6510934-6510934. DOI:https:\/\/doi.org\/10.1155\/2022\/6510934.","journal-title":"Computational Intelligence and Neuroscience."},{"key":"#cr-split#-e_1_3_2_1_3_1.1","doi-asserted-by":"crossref","unstructured":"Haseeb Khalid 2021.A Machine Learning SDN-Enabled Big Data Model for IoMT Systems. Electronics. 10 18(Sep.2021) 2228-2228.DOI:10.3390\/ELECTRONICS10182228. 10.3390\/ELECTRONICS10182228","DOI":"10.3390\/electronics10182228"},{"key":"#cr-split#-e_1_3_2_1_3_1.2","doi-asserted-by":"crossref","unstructured":"Haseeb Khalid 2021.A Machine Learning SDN-Enabled Big Data Model for IoMT Systems. Electronics. 10 18(Sep.2021) 2228-2228.DOI:10.3390\/ELECTRONICS10182228.","DOI":"10.3390\/electronics10182228"},{"key":"e_1_3_2_1_4_1","article-title":"The feasibility of innovation and entrepreneurial education in middle schools","volume":"26","author":"Svanborg Rannveig J\u00f3nsd\u00f3ttir M.","year":"2019","unstructured":"Svanborg Rannveig J\u00f3nsd\u00f3ttir , M. Allyson Macdonald . 2019 . The feasibility of innovation and entrepreneurial education in middle schools . Journal of Small Business and Enterprise Development. 26 ,2( Jan. 2019), 255-272. DOI:https:\/\/doi.org\/10.1108\/JSBED-08-2018-0251. 10.1108\/JSBED-08-2018-0251 Svanborg Rannveig J\u00f3nsd\u00f3ttir, M. Allyson Macdonald.2019.The feasibility of innovation and entrepreneurial education in middle schools. Journal of Small Business and Enterprise Development.26,2(Jan.2019), 255-272. DOI:https:\/\/doi.org\/10.1108\/JSBED-08-2018-0251.","journal-title":"Journal of Small Business and Enterprise Development."},{"key":"e_1_3_2_1_5_1","first-page":"1","article-title":"Curriculum content for innovation and entrepreneurship education in US pharmacy programs","volume":"36","author":"Afeli Serge A","year":"2022","unstructured":"Afeli Serge A , Adunlin Georges . 2022 . Curriculum content for innovation and entrepreneurship education in US pharmacy programs . Industry and Higher Education. 36 , 1 (Jan.2021),13-18. DOI:10.1177\/0950422220986314. 10.1177\/0950422220986314 Afeli Serge A,Adunlin Georges.2022.Curriculum content for innovation and entrepreneurship education in US pharmacy programs. Industry and Higher Education.36,1 (Jan.2021),13-18. DOI:10.1177\/0950422220986314.","journal-title":"Industry and Higher Education."},{"key":"e_1_3_2_1_6_1","article-title":"Desynchronization Strain Patterns and Contractility in Left Bundle Branch Block through Computer Model Simulation","volume":"9","author":"Owashi Kimi","year":"2022","unstructured":"Owashi Kimi 2022 . Desynchronization Strain Patterns and Contractility in Left Bundle Branch Block through Computer Model Simulation . Journal of Cardiovascular Development and Disease , 9 ,2( Feb. 2022),53-53.DOI:10.3390\/JCDD9020053. 10.3390\/JCDD9020053 Owashi Kimi 2022.Desynchronization Strain Patterns and Contractility in Left Bundle Branch Block through Computer Model Simulation. Journal of Cardiovascular Development and Disease,9,2(Feb.2022),53-53.DOI:10.3390\/JCDD9020053.","journal-title":"Journal of Cardiovascular Development and Disease"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"Hrehova S and Hus\u00e1r J and Hladk\u00fd V.2021.Possibility of using Matlab application to propose fuzzy computer model.IOP Conference Series: Materials Science and Engineering.1199 1(Jan.2021) 139-148.DOI:10.1177\/0950422220986314.    10.1177\/0950422220986314\nHrehova S and Hus\u00e1r J and Hladk\u00fd V.2021.Possibility of using Matlab application to propose fuzzy computer model.IOP Conference Series: Materials Science and Engineering.1199 1(Jan.2021) 139-148.DOI:10.1177\/0950422220986314.","DOI":"10.1177\/0950422220986314"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"Rivas Luisa and Galea Manuel.2022.On estimation and influence measures for the Negative Binomial regression model based on;Q;-function.Communications in Statistics - Theory and Methods.51 7(Jul.2022) 1954-1974.DOI :https:\/\/doi.org\/10.1080\/03610926.2021.1942493.    10.1080\/03610926.2021.1942493\nRivas Luisa and Galea Manuel.2022.On estimation and influence measures for the Negative Binomial regression model based on;Q;-function.Communications in Statistics - Theory and Methods.51 7(Jul.2022) 1954-1974.DOI :https:\/\/doi.org\/10.1080\/03610926.2021.1942493.","DOI":"10.1080\/03610926.2021.1942493"},{"key":"e_1_3_2_1_9_1","article-title":". Computer Regression Models for P-Glycoprotein Transport of Drugs","volume":"52","author":"Yu","year":"2019","unstructured":"V. Yu . Grigorev 2019 . Computer Regression Models for P-Glycoprotein Transport of Drugs . Pharmaceutical Chemistry Journal. 52 ,12( Jun. 2019),975-979. DOI:10.1007\/s11094-019-01936-x. 10.1007\/s11094-019-01936-x V. Yu. Grigorev 2019. Computer Regression Models for P-Glycoprotein Transport of Drugs. Pharmaceutical Chemistry Journal. 52,12(Jun.2019),975-979. DOI:10.1007\/s11094-019-01936-x.","journal-title":"Pharmaceutical Chemistry Journal."},{"key":"e_1_3_2_1_10_1","article-title":"Examine Some Estimates Simulated of Linear Regression model based on Confidence Intervals Simulated","volume":"1804","author":"Haddaw Adel Ahmed","year":"2021","unstructured":"Haddaw Adel Ahmed . 2021 . Examine Some Estimates Simulated of Linear Regression model based on Confidence Intervals Simulated . Journal of Physics: Conference Series. 1804 ,1( May .2021), 12-22. DOI:10.1088\/1742-6596\/1804\/1\/012072. 10.1088\/1742-6596 Haddaw Adel Ahmed.2021.Examine Some Estimates Simulated of Linear Regression model based on Confidence Intervals Simulated. Journal of Physics: Conference Series.1804,1( May.2021), 12-22. DOI:10.1088\/1742-6596\/1804\/1\/012072.","journal-title":"Journal of Physics: Conference Series."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Michal \u010cern\u00fd and Jarom\u00edr Antoch and Milan Hlad\u00edk.2013.On the possibilistic approach to linear regression models involving uncertain indeterminate or interval data. Information Sciences.24 4(Feb.2013) 26-47. DOI:10.1016\/j.ins.2013.04.035.    10.1016\/j.ins.2013.04.035\nMichal \u010cern\u00fd and Jarom\u00edr Antoch and Milan Hlad\u00edk.2013.On the possibilistic approach to linear regression models involving uncertain indeterminate or interval data. Information Sciences.24 4(Feb.2013) 26-47. DOI:10.1016\/j.ins.2013.04.035.","DOI":"10.1016\/j.ins.2013.04.035"},{"key":"e_1_3_2_1_12_1","article-title":"Confidence sets in a linear regression model for interval data","volume":"142","author":"Angela Blanco-Fern\u00e1ndez","year":"2012","unstructured":"Angela Blanco-Fern\u00e1ndez and Ana Colubi and Gil Gonz\u00e1lez-Rodr\u00edguez. 2012 . Confidence sets in a linear regression model for interval data . Journal of Statistical Planning and Inference. 142 ,6(Mar.2012),1320-1329. DOI:10.1016\/j.jspi.2011.09.017. 10.1016\/j.jspi.2011.09.017 Angela Blanco-Fern\u00e1ndez and Ana Colubi and Gil Gonz\u00e1lez-Rodr\u00edguez. 2012.Confidence sets in a linear regression model for interval data. Journal of Statistical Planning and Inference.142,6(Mar.2012),1320-1329. DOI:10.1016\/j.jspi.2011.09.017.","journal-title":"Journal of Statistical Planning and Inference."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"Martin Law and Dan Jackson.2016.Residual plots for linear regression models with censored outcome data: A refined method for visualizing residual uncertainty. Communications in Statistics - Simulation and Computation. 46 4(Feb.2016) 3159-3171.DOI: https:\/\/doi.org\/10.1080\/03610918.2015.1076470.    10.1080\/03610918.2015.1076470\nMartin Law and Dan Jackson.2016.Residual plots for linear regression models with censored outcome data: A refined method for visualizing residual uncertainty. Communications in Statistics - Simulation and Computation. 46 4(Feb.2016) 3159-3171.DOI: https:\/\/doi.org\/10.1080\/03610918.2015.1076470.","DOI":"10.1080\/03610918.2015.1076470"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Lee ShenMing and Tran PhuocLoc and Li ChinShang.2022.Goodness-of-fit tests for a logistic regression model with missing covariates.Statistical methods in medical research.31 6(Jun.2022) 350-359. DOI:10.1177\/09622802221079350.    10.1177\/09622802221079350\nLee ShenMing and Tran PhuocLoc and Li ChinShang.2022.Goodness-of-fit tests for a logistic regression model with missing covariates.Statistical methods in medical research.31 6(Jun.2022) 350-359. DOI:10.1177\/09622802221079350.","DOI":"10.1177\/09622802221079350"},{"key":"e_1_3_2_1_15_1","article-title":"Bootstrap based goodness-of-fit tests for binary multivariate regression models","volume":"34","author":"van Heel","year":"2021","unstructured":"van Heel , Mareike and Dikta, Gerhard and Braekers, Roel . 2021 . Bootstrap based goodness-of-fit tests for binary multivariate regression models . Journal of the Korean Statistical Society. 34 ,22( Nov. 2021),1-28. DOI:10.1007\/S42952-021-00142-4. 10.1007\/S42952-021-00142-4 van Heel, Mareike and Dikta, Gerhard and Braekers, Roel.2021.Bootstrap based goodness-of-fit tests for binary multivariate regression models. Journal of the Korean Statistical Society.34,22(Nov.2021),1-28. DOI:10.1007\/S42952-021-00142-4.","journal-title":"Journal of the Korean Statistical Society."},{"key":"e_1_3_2_1_16_1","unstructured":"Xue wei.2007.SPSS statistical analysis method and its application. Electronic Industry Press.2007 4.  Xue wei.2007.SPSS statistical analysis method and its application. Electronic Industry Press.2007 4."},{"key":"e_1_3_2_1_17_1","first-page":"10053","volume-title":"RNA sequencing reveals the differences between chemical and chronic constipation induction of intestinal tumor(2017) Biomedical Research (India), 28 (22)","author":"Luan Y.","unstructured":"Luan , Y. , Cao , Y. , Mao , D. , Li , Y. , Yue , X. , Zhao , Y. , Xiong , F. , Rong , J. , He , C. RNA sequencing reveals the differences between chemical and chronic constipation induction of intestinal tumor(2017) Biomedical Research (India), 28 (22) , pp. 10053 - 10061 . Luan, Y., Cao, Y., Mao, D., Li, Y., Yue, X., Zhao, Y., Xiong, F., Rong, J., He, C. RNA sequencing reveals the differences between chemical and chronic constipation induction of intestinal tumor(2017) Biomedical Research (India), 28 (22), pp. 10053-10061."},{"key":"e_1_3_2_1_18_1","first-page":"1833","volume-title":"A kinetic model for gasification of heavy oil with in situ CO2 capture (2016) Petroleum Science and Technology, 34 (22)","author":"Yue X.-G.","unstructured":"Yue , X.-G. , Esfahani , M.J. , Akbai , H. , Foroughi , A. A kinetic model for gasification of heavy oil with in situ CO2 capture (2016) Petroleum Science and Technology, 34 (22) , pp. 1833 - 1836 . DOI: 10.1080\/10916466.2016.1227837 10.1080\/10916466.2016.1227837 Yue, X.-G., Esfahani, M.J., Akbai, H., Foroughi, A. A kinetic model for gasification of heavy oil with in situ CO2 capture (2016) Petroleum Science and Technology, 34 (22), pp. 1833-1836. DOI: 10.1080\/10916466.2016.1227837"},{"key":"e_1_3_2_1_19_1","first-page":"244","volume-title":"A case study of power law (2016) Physica A: Statistical Mechanics and its Applications, 456","author":"Cao Y.","unstructured":"Cao , Y. , Zhao , Y. , Yue , X. , Xiong , F. , Sun , Y. , He , X. , Wang , L. Between disorder and order : A case study of power law (2016) Physica A: Statistical Mechanics and its Applications, 456 , pp. 244 - 255 . DOI: 10.1016\/j.physa.2016.03.045 10.1016\/j.physa.2016.03.045 Cao, Y., Zhao, Y., Yue, X., Xiong, F., Sun, Y., He, X., Wang, L.Between disorder and order: A case study of power law (2016) Physica A: Statistical Mechanics and its Applications, 456, pp. 244-255. DOI: 10.1016\/j.physa.2016.03.045"},{"key":"e_1_3_2_1_20_1","first-page":"5258","volume-title":"Labview technology application for safety engineering (2016) Journal of Computational and Theoretical Nanoscience, 13 (8)","author":"Zhou F.-J.","unstructured":"Zhou , F.-J. , Yue , X.-G. Labview technology application for safety engineering (2016) Journal of Computational and Theoretical Nanoscience, 13 (8) , pp. 5258 - 5261 . DOI: 10.1166\/jctn.2016.5411 10.1166\/jctn.2016.5411 Zhou, F.-J., Yue, X.-G. Labview technology application for safety engineering (2016) Journal of Computational and Theoretical Nanoscience, 13 (8), pp. 5258-5261. DOI: 10.1166\/jctn.2016.5411"}],"event":{"name":"ICIIP '22: 2022 7th International Conference on Intelligent Information Processing","acronym":"ICIIP '22","location":"Bucharest Romania"},"container-title":["Proceedings of the 7th International Conference on Intelligent Information Processing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3570236.3570267","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3570236.3570267","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:49:38Z","timestamp":1750182578000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3570236.3570267"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,29]]},"references-count":22,"alternative-id":["10.1145\/3570236.3570267","10.1145\/3570236"],"URL":"https:\/\/doi.org\/10.1145\/3570236.3570267","relation":{},"subject":[],"published":{"date-parts":[[2022,9,29]]},"assertion":[{"value":"2023-01-27","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}