{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T07:25:33Z","timestamp":1740122733395,"version":"3.37.3"},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2022,8,3]],"date-time":"2022-08-03T00:00:00Z","timestamp":1659484800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,8,3]],"date-time":"2022-08-03T00:00:00Z","timestamp":1659484800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61572229,61872158"],"award-info":[{"award-number":["61572229,61872158"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010211","name":"Education Department of Jilin Province","doi-asserted-by":"publisher","award":["JJKH20181060SK"],"award-info":[{"award-number":["JJKH20181060SK"]}],"id":[{"id":"10.13039\/501100010211","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2023,4]]},"DOI":"10.1007\/s10489-022-03922-5","type":"journal-article","created":{"date-parts":[[2022,8,3]],"date-time":"2022-08-03T05:02:36Z","timestamp":1659502956000},"page":"8910-8926","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Dynamic interaction-based feature selection algorithm for maximal relevance minimal redundancy"],"prefix":"10.1007","volume":"53","author":[{"given":"Kexin","family":"Yin","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7194-8363","authenticated-orcid":false,"given":"Aifeng","family":"Xie","sequence":"additional","affiliation":[]},{"given":"Junren","family":"Zhai","sequence":"additional","affiliation":[]},{"given":"Jianqi","family":"Zhu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,8,3]]},"reference":[{"key":"3922_CR1","doi-asserted-by":"publisher","first-page":"26,766","DOI":"10.1109\/ACCESS.2021.3056407","volume":"9","author":"P Agrawal","year":"2021","unstructured":"Agrawal P, Abutarboush H F, Ganesh T, et al. (2021) Metaheuristic algorithms on feature selection: a survey of one decade of research (2009-2019). IEEE Access 9:26,766\u201326,791","journal-title":"IEEE Access"},{"issue":"4","key":"3922_CR2","doi-asserted-by":"publisher","first-page":"537","DOI":"10.1109\/72.298224","volume":"5","author":"R Battiti","year":"1994","unstructured":"Battiti R (1994) Using mutual information for selecting features in supervised neural net learning. IEEE Trans Neural Netw 5(4):537\u2013550","journal-title":"IEEE Trans Neural Netw"},{"issue":"22","key":"3922_CR3","doi-asserted-by":"publisher","first-page":"8520","DOI":"10.1016\/j.eswa.2015.07.007","volume":"42","author":"M Bennasar","year":"2015","unstructured":"Bennasar M, Hicks Y, Setchi R (2015) Feature selection using joint mutual information maximisation. Expert Syst Appl 42(22):8520\u20138532","journal-title":"Expert Syst Appl"},{"issue":"1","key":"3922_CR4","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1016\/j.compeleceng.2013.11.024","volume":"40","author":"G Chandrashekar","year":"2014","unstructured":"Chandrashekar G, Sahin F (2014) A survey on feature selection methods. Comput Electr Eng 40(1):16\u201328","journal-title":"Comput Electr Eng"},{"issue":"1\u20134","key":"3922_CR5","doi-asserted-by":"publisher","first-page":"131","DOI":"10.3233\/IDA-1997-1302","volume":"1","author":"M Dash","year":"1997","unstructured":"Dash M, Liu H (1997) Feature selection for classification. Intell Data Anal 1(1\u20134):131\u2013156","journal-title":"Intell Data Anal"},{"key":"3922_CR6","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1016\/j.engappai.2021.104216","volume":"101","author":"M Di Mauro","year":"2021","unstructured":"Di Mauro M, Galatro G, Fortino G, et al. (2021) Supervised feature selection techniques in network intrusion detection: a critical review. Eng Appl Artif Intell 101:104\u2013216","journal-title":"Eng Appl Artif Intell"},{"issue":"1\u20132","key":"3922_CR7","doi-asserted-by":"publisher","first-page":"326","DOI":"10.1016\/j.physa.2004.06.144","volume":"344","author":"A Dionisio","year":"2004","unstructured":"Dionisio A, Menezes R, Mendes D A (2004) Mutual information: a measure of dependency for nonlinear time series. Physica A: Stat Mech Appl 344(1\u20132):326\u2013329","journal-title":"Physica A: Stat Mech Appl"},{"key":"3922_CR8","doi-asserted-by":"crossref","unstructured":"Dougherty J, Kohavi R, Sahami M. (1995) Supervised and unsupervised discretization of continuous features. In: Machine learning proceedings 1995. Elsevier, pp 194\u2013202","DOI":"10.1016\/B978-1-55860-377-6.50032-3"},{"issue":"2","key":"3922_CR9","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1109\/TNN.2008.2005601","volume":"20","author":"PA Est\u00e9vez","year":"2009","unstructured":"Est\u00e9vez P A, Tesmer M, Perez C A, et al. (2009) Normalized mutual information feature selection. IEEE Trans Neural Netw 20(2):189\u2013201","journal-title":"IEEE Trans Neural Netw"},{"key":"3922_CR10","doi-asserted-by":"crossref","unstructured":"Fodor I K (2002) A survey of dimension reduction techniques. Tech rep. Lawrence Livermore National Laboratory, CA (US)","DOI":"10.2172\/15002155"},{"key":"3922_CR11","volume-title":"Uci machine learning repository","author":"A Frank","year":"2010","unstructured":"Frank A (2010) Uci machine learning repository. University of California, School of Information and Computer Science, Irvine. http:\/\/archive.ics.uci.edu\/ml"},{"key":"3922_CR12","doi-asserted-by":"publisher","first-page":"328","DOI":"10.1016\/j.patcog.2018.02.020","volume":"79","author":"W Gao","year":"2018","unstructured":"Gao W, Hu L, Zhang P (2018) Class-specific mutual information variation for feature selection. Pattern Recogn 79:328\u2013339","journal-title":"Pattern Recogn"},{"issue":"4","key":"3922_CR13","doi-asserted-by":"publisher","first-page":"1272","DOI":"10.1007\/s10489-019-01597-z","volume":"50","author":"W Gao","year":"2020","unstructured":"Gao W, Hu L, Zhang P (2020) Feature redundancy term variation for mutual information-based feature selection. Appl Intell 50(4):1272\u20131288","journal-title":"Appl Intell"},{"issue":"4","key":"3922_CR14","doi-asserted-by":"publisher","first-page":"2672","DOI":"10.1007\/s10489-020-01936-5","volume":"51","author":"X Gu","year":"2021","unstructured":"Gu X, Guo J, Li C, et al. (2021) A feature selection algorithm based on redundancy analysis and interaction weight. Appl Intell 51(4):2672\u20132686","journal-title":"Appl Intell"},{"key":"3922_CR15","first-page":"1157","volume":"3","author":"I Guyon","year":"2003","unstructured":"Guyon I, Elisseeff A (2003) An introduction to variable and feature selection. J Mach Learn Res 3:1157\u20131182","journal-title":"J Mach Learn Res"},{"key":"3922_CR16","doi-asserted-by":"publisher","first-page":"423","DOI":"10.1016\/j.eswa.2017.10.016","volume":"93","author":"L Hu","year":"2018","unstructured":"Hu L, Gao W, Zhao K et al (2018) Feature selection considering two types of feature relevancy and feature interdependency. Expert Syst Appl 93:423\u2013434","journal-title":"Expert Syst Appl"},{"key":"3922_CR17","unstructured":"Jakulin A (2003) Attribute interactions in machine learning. PhD thesis, Univerza v Ljubljani"},{"key":"3922_CR18","doi-asserted-by":"crossref","unstructured":"Jakulin A, Bratko I. (2004) Testing the significance of attribute interactions. In: Proceedings of the twenty-first international conference on Machine learning, p 52","DOI":"10.1145\/1015330.1015377"},{"issue":"2","key":"3922_CR19","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1109\/TKDE.2004.1269594","volume":"16","author":"LA Kurgan","year":"2004","unstructured":"Kurgan L A, Cios K J (2004) Caim discretization algorithm. IEEE Trans Knowl Data Eng 16(2):145\u2013153","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"3922_CR20","doi-asserted-by":"crossref","unstructured":"Lewis D. D. (1992) Feature selection and feature extraction for text categorization. In: Speech and natural language: proceedings of a workshop held at Harriman, New York, February 23\u201326, 1992","DOI":"10.3115\/1075527.1075574"},{"issue":"6","key":"3922_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3136625","volume":"50","author":"J Li","year":"2017","unstructured":"Li J, Cheng K, Wang S et al (2017) Feature selection: a data perspective. ACM Comput Surv (CSUR) 50(6):1\u201345","journal-title":"ACM Comput Surv (CSUR)"},{"key":"3922_CR22","doi-asserted-by":"crossref","unstructured":"Li Z, Liu H, Zhang Z et al (2021) Learning knowledge graph embedding with heterogeneous relation attention networks. IEEE Trans Neural Netw Learn Syst","DOI":"10.1109\/TNNLS.2021.3055147"},{"key":"3922_CR23","doi-asserted-by":"crossref","unstructured":"Liu H, Zheng C, Li D, et al. (2021) Edmf: efficient deep matrix factorization with review feature learning for industrial recommender system. IEEE Trans Ind Inform","DOI":"10.1109\/TII.2021.3128240"},{"issue":"8","key":"3922_CR24","doi-asserted-by":"publisher","first-page":"1529","DOI":"10.1109\/TPAMI.2014.2372791","volume":"37","author":"T Naghibi","year":"2014","unstructured":"Naghibi T, Hoffmann S, Pfister B (2014) A semidefinite programming based search strategy for feature selection with mutual information measure. IEEE Trans Pattern Anal Mach Intell 37(8):1529\u20131541","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"8","key":"3922_CR25","doi-asserted-by":"publisher","first-page":"1226","DOI":"10.1109\/TPAMI.2005.159","volume":"27","author":"H Peng","year":"2005","unstructured":"Peng H, Long F, Ding C (2005) Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy. IEEE Trans Pattern Anal Mach Intell 27(8):1226\u20131238","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"3922_CR26","doi-asserted-by":"crossref","unstructured":"Pintas J T, Fernandes L A, Garcia A C B (2021) Feature selection methods for text classification: a systematic literature review. Artif Intell Rev 1\u201352","DOI":"10.1007\/s10462-021-09970-6"},{"key":"3922_CR27","doi-asserted-by":"publisher","first-page":"19:709","DOI":"10.1109\/ACCESS.2019.2894366","volume":"7","author":"M Rong","year":"2019","unstructured":"Rong M, Gong D, Gao X (2019) Feature selection and its use in big data: challenges, methods, and trends. IEEE Access 7:19:709\u201319:725","journal-title":"IEEE Access"},{"issue":"1","key":"3922_CR28","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1145\/584091.584093","volume":"5","author":"CE Shannon","year":"2001","unstructured":"Shannon C E (2001) A mathematical theory of communication. ACM SIGMOBILE Mob Comput Commun Rev 5(1):3\u201355","journal-title":"ACM SIGMOBILE Mob Comput Commun Rev"},{"issue":"8","key":"3922_CR29","doi-asserted-by":"publisher","first-page":"2992","DOI":"10.1016\/j.patcog.2012.02.001","volume":"45","author":"X Sun","year":"2012","unstructured":"Sun X, Liu Y, Li J et al (2012) Feature evaluation and selection with cooperative game theory. Pattern Recognit 45(8):2992\u2013 3002","journal-title":"Pattern Recognit"},{"key":"3922_CR30","doi-asserted-by":"publisher","first-page":"541","DOI":"10.1016\/j.knosys.2012.10.001","volume":"37","author":"X Sun","year":"2013","unstructured":"Sun X, Liu Y, Xu M, et al. (2013) Feature selection using dynamic weights for classification. Knowl-Based Syst 37:541\u2013549","journal-title":"Knowl-Based Syst"},{"key":"3922_CR31","unstructured":"Thomas M, Joy A T (2006) Elements of information theory"},{"issue":"1","key":"3922_CR32","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1007\/s00521-013-1368-0","volume":"24","author":"JR Vergara","year":"2014","unstructured":"Vergara J R, Est\u00e9vez P A (2014) A review of feature selection methods based on mutual information. Neural Comput Appl 24(1):175\u2013186","journal-title":"Neural Comput Appl"},{"issue":"4","key":"3922_CR33","doi-asserted-by":"publisher","first-page":"828","DOI":"10.1109\/TKDE.2017.2650906","volume":"29","author":"J Wang","year":"2017","unstructured":"Wang J, Wei J M, Yang Z, et al. (2017) Feature selection by maximizing independent classification information. IEEE Trans Knowl Data Eng 29(4):828\u2013841","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"3922_CR34","first-page":"1439","volume":"3","author":"J Weston","year":"2003","unstructured":"Weston J, Elisseeff A, Sch\u00f6lkopf B, et al. (2003) Use of the zero norm with linear models and kernel methods. J Mach Learn Res 3:1439\u20131461","journal-title":"J Mach Learn Res"},{"key":"3922_CR35","unstructured":"Yang H, Moody J. (1999) Feature selection based on joint mutual information. In: Proceedings of international ICSC symposium on advances in intelligent data analysis. Citeseer, pp 22\u201325"},{"key":"3922_CR36","first-page":"1205","volume":"5","author":"L Yu","year":"2004","unstructured":"Yu L, Liu H (2004) Efficient feature selection via analysis of relevance and redundancy. J Mach Learn Res 5:1205\u2013 1224","journal-title":"J Mach Learn Res"},{"issue":"8","key":"3922_CR37","doi-asserted-by":"publisher","first-page":"2656","DOI":"10.1016\/j.patcog.2015.02.025","volume":"48","author":"Z Zeng","year":"2015","unstructured":"Zeng Z, Zhang H, Zhang R et al (2015) A novel feature selection method considering feature interaction. Pattern Recogn 48(8):2656\u20132666","journal-title":"Pattern Recogn"},{"key":"3922_CR38","unstructured":"Zhou H, Wang X, Zhu R (2021) Feature selection based on mutual information with correlation coefficient. Appl Intell 1\u201318"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-022-03922-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10489-022-03922-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-022-03922-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,30]],"date-time":"2023-04-30T09:15:42Z","timestamp":1682846142000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10489-022-03922-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,3]]},"references-count":38,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2023,4]]}},"alternative-id":["3922"],"URL":"https:\/\/doi.org\/10.1007\/s10489-022-03922-5","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"type":"print","value":"0924-669X"},{"type":"electronic","value":"1573-7497"}],"subject":[],"published":{"date-parts":[[2022,8,3]]},"assertion":[{"value":"22 June 2022","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 August 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}