{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T10:15:50Z","timestamp":1780049750413,"version":"3.53.1"},"reference-count":54,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2016,5,25]],"date-time":"2016-05-25T00:00:00Z","timestamp":1464134400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61203287"],"award-info":[{"award-number":["61203287"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004602","name":"Program for New Century Excellent Talents in University","doi-asserted-by":"publisher","award":["NCET-12-0953"],"award-info":[{"award-number":["NCET-12-0953"]}],"id":[{"id":"10.13039\/501100004602","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Chenguang Program of Science and Technology of Wuhan","award":["2015070404010202"],"award-info":[{"award-number":["2015070404010202"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Knowl Inf Syst"],"published-print":{"date-parts":[[2017,3]]},"DOI":"10.1007\/s10115-016-0960-x","type":"journal-article","created":{"date-parts":[[2016,5,25]],"date-time":"2016-05-25T07:19:08Z","timestamp":1464160748000},"page":"795-825","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["Toward value difference metric with attribute weighting"],"prefix":"10.1007","volume":"50","author":[{"given":"Chaoqun","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liangxiao","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongwei","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jia","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peng","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2016,5,25]]},"reference":[{"issue":"2","key":"960_CR1","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1016\/0020-7373(92)90018-G","volume":"36","author":"D Aha","year":"1992","unstructured":"Aha D (1992) Tolerating noisy, irrelevant, and novel attributes in instance-based learning algorithms. Int J Man Mach Stud 36(2):267\u2013287","journal-title":"Int J Man Mach Stud"},{"key":"960_CR2","first-page":"37","volume":"6","author":"D Aha","year":"1991","unstructured":"Aha D, Kibler D, Albert MK (1991) Instance-based learning algorithms. Mach Learn 6:37\u201366","journal-title":"Mach Learn"},{"issue":"2\u20133","key":"960_CR3","first-page":"255","volume":"17","author":"J Alcal\u00e1-Fdez","year":"2011","unstructured":"Alcal\u00e1-Fdez J, Fernandez A, Luengo J, Derrac J, Garc\u00eda S, S\u00e1nchez L, Herrera F (2011) KEEL data-mining software tool: data set repository, integration of algorithms and experimental analysis framework. J Multiple-Valued Logic Soft Comput 17(2\u20133):255\u2013287","journal-title":"J Multiple-Valued Logic Soft Comput"},{"key":"960_CR4","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1023\/A:1006559212014","volume":"11","author":"CG Atkeson","year":"1997","unstructured":"Atkeson CG, Moore AW, Schaal S (1997) Locally weighted learning. Artif Intell Rev 11:11\u201373","journal-title":"Artif Intell Rev"},{"issue":"8","key":"960_CR5","doi-asserted-by":"crossref","first-page":"1194","DOI":"10.1109\/TNNLS.2012.2198075","volume":"23","author":"W Bian","year":"2012","unstructured":"Bian W, Tao D (2012) Constrained empirical risk minimization framework for distance metric learning. IEEE Trans Neural Netw Learn Syst 23(8):1194\u20131205","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"960_CR6","unstructured":"Blanzieri E, Ricci F (1999) Probability based metrics for nearestneighbor classification and case-based reasoning. In: Proceedings of the 3rd international conference on case-based reasoning. Springer, pp\u00a014\u201328"},{"key":"960_CR7","unstructured":"Cattral R, Oppacher F, Deugo D (2002) Evolutionary data mining with automatic rule generalization. Recent advances in computers, computing and communications. WSEAS Press, pp 296\u2013300"},{"issue":"1","key":"960_CR8","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1109\/TSMCB.2009.2025028","volume":"40","author":"C Chen","year":"2010","unstructured":"Chen C, Zhang J, Fleischer R (2010) Distance approximating dimension reduction of riemannian manifolds. IEEE Trans Syst Man Cybern Part B: Cybern 40(1):208\u2013217","journal-title":"IEEE Trans Syst Man Cybern Part B: Cybern"},{"issue":"11","key":"960_CR9","doi-asserted-by":"crossref","first-page":"1676","DOI":"10.1109\/TVCG.2010.272","volume":"17","author":"C Chen","year":"2011","unstructured":"Chen C, Zhuang Y, Nie F, Yang Y, Wu F, Xiao J (2011) Learning a 3D human pose distance metric from geometric pose descriptor. IEEE Trans Vis Comput Graphics 17(11):1676\u20131689","journal-title":"IEEE Trans Vis Comput Graphics"},{"issue":"7","key":"960_CR10","doi-asserted-by":"crossref","first-page":"1471","DOI":"10.1016\/j.patcog.2003.12.015","volume":"37","author":"V Cheng","year":"2004","unstructured":"Cheng V, Li CH, Kwok JT, Li CK (2004) Dissimilarity learning for nominal data. Pattern Recogn 37(7):1471\u20131477","journal-title":"Pattern Recogn"},{"key":"960_CR11","doi-asserted-by":"crossref","unstructured":"Cleary JG, Trigg LE (1995) K*: An instance-based learner using an entropic distance measure. In: Proceedings of the 12th international conference on machine learning. Morgan Kaufmann, Tahoe City, pp 108\u2013114","DOI":"10.1016\/B978-1-55860-377-6.50022-0"},{"key":"960_CR12","first-page":"57","volume":"10","author":"S Cost","year":"1993","unstructured":"Cost S, Salzberg S (1993) A weighted nearest neighbor algorithm for learning with symbolic features. Mach Learn 10:57\u201378","journal-title":"Mach Learn"},{"key":"960_CR13","first-page":"1","volume":"7","author":"J Demsar","year":"2006","unstructured":"Demsar J (2006) Statistical comparisons of classifiers over multiple data sets. J Mach Learn Res 7:1\u201330","journal-title":"J Mach Learn Res"},{"issue":"3","key":"960_CR14","doi-asserted-by":"crossref","first-page":"1159","DOI":"10.1016\/j.patcog.2013.09.016","volume":"47","author":"V Deufemia","year":"2014","unstructured":"Deufemia V, Risi M, Tortora G (2014) Sketched symbol recognition using latent-dynamic conditional random fields and distance-based clustering. Pattern Recogn 47(3):1159\u20131171","journal-title":"Pattern Recogn"},{"key":"960_CR15","unstructured":"Diday E (1974) Recent progress in distance and similarity measures in pattern recognition. In: Proceedings of the 2th international joint conference on pattern recognition, pp\u00a0534\u2013539"},{"key":"960_CR16","volume-title":"UCI machine learning repository","author":"A Frank","year":"2010","unstructured":"Frank A, Asuncion A (2010) UCI machine learning repository. University of California, Irvine"},{"key":"960_CR17","unstructured":"Frank E, Hall M, Pfahringer B (2003) Locally weighted naive bayes. In: Proceedings of the 19th conference on uncertainty in artificial intelligence (UAI\u201903). Morgan Kaufmann, San Francisco, pp 249\u2013256"},{"key":"960_CR18","first-page":"2677","volume":"9","author":"S Garcia","year":"2008","unstructured":"Garcia S, Herrera F (2008) An extension on statistical comparisons of classifiers over multiple data sets for all pairwise comparisons. J Mach Learn Res 9:2677\u20132694","journal-title":"J Mach Learn Res"},{"key":"960_CR19","doi-asserted-by":"crossref","unstructured":"Grossman D, Domingos P (2004) Learning bayesian network classifiers by maximizing conditional likelihood. In: Proceedings of the 21st international conference on machine learning. ACM, pp\u00a0361\u2013368","DOI":"10.1145\/1015330.1015339"},{"key":"960_CR20","unstructured":"Guo Y, Greiner R (2005) Discriminative model selection for belief net structures. In: Proceedings of the 12th National Conference on Artificial Intelligence, AAAI, pp\u00a0770\u2013776"},{"key":"960_CR21","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1016\/j.knosys.2006.11.008","volume":"20","author":"M Hall","year":"2007","unstructured":"Hall M (2007) A decision tree-based attribute weighting filter for naive bayes. Knowl-Based Syst 20:120\u2013126","journal-title":"Knowl-Based Syst"},{"key":"960_CR22","unstructured":"Hall MA (2000) Correlation-based feature selection for discrete and numeric class machine learning. In: Proceedings of the 17th international conference on machine learning. Morgan Kaufmann, Stanford, pp 359\u2013366"},{"key":"960_CR23","unstructured":"Hinneburg A, Aggarwal C, Keim D (2000) What is the nearest neighbor in high dimensional spaces? In: Proceedings of the 26th international conference on very large data bases. Cairo, pp 506\u2013515"},{"issue":"2","key":"960_CR24","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1080\/0952813X.2012.721010","volume":"25","author":"L Jiang","year":"2013","unstructured":"Jiang L, Cai Z, Zhang H, Wang D (2013) Naive bayes text classifiers: a locally weighted learning approach. J Exp Theor Artif Intell 25(2):273\u2013286","journal-title":"J Exp Theor Artif Intell"},{"issue":"10","key":"960_CR25","doi-asserted-by":"crossref","first-page":"1169","DOI":"10.1016\/j.patrec.2013.03.030","volume":"34","author":"L Jiang","year":"2013","unstructured":"Jiang L, Li C (2013) An augmented value difference measure. Pattern Recogn Lett 34(10):1169\u20131174","journal-title":"Pattern Recogn Lett"},{"key":"960_CR26","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.engappai.2016.02.002","volume":"52","author":"L Jiang","year":"2016","unstructured":"Jiang L, Li C, Wang S, Zhang L (2016) Deep feature weighting for naive bayes and its application to text classification. Eng Appl Artif Intell 52:26\u201339","journal-title":"Eng Appl Artif Intell"},{"issue":"2","key":"960_CR27","doi-asserted-by":"crossref","first-page":"1451002","DOI":"10.1142\/S0218001414510021","volume":"28","author":"L Jiang","year":"2014","unstructured":"Jiang L, Li C, Zhang H, Cai Z (2014) A novel distance function: Frequency difference metric. Int J Pattern Recognit Artif Intell 28(2):1451002","journal-title":"Int J Pattern Recognit Artif Intell"},{"key":"960_CR28","doi-asserted-by":"crossref","first-page":"1250007","DOI":"10.1142\/S0218213011004770","volume":"21","author":"L Jiang","year":"2012","unstructured":"Jiang L, Wang D, Cai Z (2012) Discriminatively weighted naive bayes and its application in text classification. Int J Artif Intell Tools 21:1250007","journal-title":"Int J Artif Intell Tools"},{"key":"960_CR29","doi-asserted-by":"crossref","unstructured":"Jiang L, Zhang H (2006) Learning naive bayes for probability estimation by feature selection. In: Proceedings of the 19th Canadian conference on artificial intelligence. Springer, pp\u00a0503\u2013514","DOI":"10.1007\/11766247_43"},{"key":"960_CR30","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1016\/S0004-3702(98)00046-0","volume":"104","author":"S Kasif","year":"1998","unstructured":"Kasif S, Salzberg S, Waltz D, Rachlin J, Aha D (1998) A probabilistic framework for memory-based reasoning. Artif Intell 104:287\u2013311","journal-title":"Artif Intell"},{"key":"960_CR31","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1016\/j.patrec.2014.06.014","volume":"49","author":"C Li","year":"2014","unstructured":"Li C, Jiang L, Li H (2014) Local value difference metric. Pattern Recogn Lett 49:62\u201368","journal-title":"Pattern Recogn Lett"},{"issue":"2","key":"960_CR32","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1007\/s11704-014-3038-5","volume":"8","author":"C Li","year":"2014","unstructured":"Li C, Jiang L, Li H (2014) Naive bayes for value difference metric. Front Comput Sci 8(2):255\u2013264","journal-title":"Front Comput Sci"},{"key":"960_CR33","doi-asserted-by":"crossref","unstructured":"Li C, Jiang L, Li H, Wang S (2013) Attribute weighted value difference metric. In: Proceedings of the 25th IEEE international conference on tools with artificial intelligence. IEEE, pp\u00a0575\u2013580","DOI":"10.1109\/ICTAI.2013.91"},{"issue":"5","key":"960_CR34","doi-asserted-by":"crossref","first-page":"589","DOI":"10.1016\/j.knosys.2011.01.005","volume":"24","author":"C Li","year":"2011","unstructured":"Li C, Li H (2011) One dependence value difference metric. Knowl-Based Syst 24(5):589\u2013594","journal-title":"Knowl-Based Syst"},{"issue":"9","key":"960_CR35","doi-asserted-by":"crossref","first-page":"1213","DOI":"10.1016\/j.patrec.2012.01.011","volume":"33","author":"C Li","year":"2012","unstructured":"Li C, Li H (2012) A modified short and fukunaga metric based on the attribute independence assumption. Pattern Recogn Lett 33(9):1213\u20131218","journal-title":"Pattern Recogn Lett"},{"issue":"9","key":"960_CR36","first-page":"2232","volume":"8","author":"C Li","year":"2013","unstructured":"Li C, Li H (2013) Selective value difference metric. J Comput 8(9):2232\u20132238","journal-title":"J Comput"},{"issue":"3","key":"960_CR37","doi-asserted-by":"crossref","first-page":"973","DOI":"10.1109\/TSMCB.2009.2034632","volume":"40","author":"B Liu","year":"2010","unstructured":"Liu B, Wang M, Hong R, Zha Z, Hua X (2010) Joint learning of labels and distance metric. IEEE Trans Syst Man Cybern Part B: Cybern 40(3):973\u2013978","journal-title":"IEEE Trans Syst Man Cybern Part B: Cybern"},{"issue":"8","key":"960_CR38","doi-asserted-by":"crossref","first-page":"3656","DOI":"10.1109\/TIP.2014.2331755","volume":"23","author":"L Ma","year":"2014","unstructured":"Ma L, Yang X, Tao D (2014) Person re-identification over camera networks using multi-task distance metric learning. IEEE Trans Image Process 23(8):3656\u20133670","journal-title":"IEEE Trans Image Process"},{"key":"960_CR39","volume-title":"Machine learning","author":"TM Mitchell","year":"1997","unstructured":"Mitchell TM (1997) Machine learning, 1st edn. McGraw-Hill, New York","edition":"1"},{"issue":"11","key":"960_CR40","doi-asserted-by":"crossref","first-page":"1291","DOI":"10.1016\/0031-3203(90)90123-3","volume":"23","author":"JP Myles","year":"1990","unstructured":"Myles JP, Hand DJ (1990) The multi-class metric problem in nearest neighbour discrimination rules. Pattern Recogn 23(11):1291\u20131297","journal-title":"Pattern Recogn"},{"issue":"3","key":"960_CR41","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1023\/A:1024068626366","volume":"52","author":"C Nadeau","year":"2003","unstructured":"Nadeau C, Bengio Y (2003) Inference for the generalization error. Mach Learn 52(3):239\u2013281","journal-title":"Mach Learn"},{"key":"960_CR42","unstructured":"Noh YK, Zhang BT, Lee DD (2010) Generative local metric learning for nearest neighbor classification. In: Proceedings of the 24th annual conference on neural information processing systems. Curran Associates, Inc., pp\u00a01822\u20131830"},{"issue":"13","key":"960_CR43","doi-asserted-by":"crossref","first-page":"5433","DOI":"10.1016\/j.eswa.2015.02.049","volume":"42","author":"C Qiu","year":"2015","unstructured":"Qiu C, Jiang L, Li C (2015) Not always simple classification: learning superparent for class probability estimation. Expert Syst Appl 42(13):5433\u20135440","journal-title":"Expert Syst Appl"},{"issue":"3","key":"960_CR44","doi-asserted-by":"crossref","first-page":"624","DOI":"10.1109\/TPAMI.2012.87","volume":"35","author":"E Sangineto","year":"2013","unstructured":"Sangineto E (2013) Pose and expression independent facial landmark localization using dense-surf and the hausdorff distance. IEEE Trans Pattern Anal Mach Intell 35(3):624\u2013638","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"960_CR45","doi-asserted-by":"crossref","first-page":"622","DOI":"10.1109\/TIT.1981.1056403","volume":"27","author":"RD Short","year":"1981","unstructured":"Short RD, Fukunaga K (1981) The optimal distance measure for nearest neighbour classification. IEEE Trans Inf Theory 27:622\u2013627","journal-title":"IEEE Trans Inf Theory"},{"key":"960_CR46","doi-asserted-by":"crossref","first-page":"1213","DOI":"10.1145\/7902.7906","volume":"29","author":"C Stanfill","year":"1986","unstructured":"Stanfill C, Waltz D (1986) Toward memory-based reasoning. Commun ACM 29:1213\u20131228","journal-title":"Commun ACM"},{"key":"960_CR47","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1613\/jair.346","volume":"6","author":"DR Wilson","year":"1997","unstructured":"Wilson DR, Martinez TR (1997) Improved heterogeneous distance functions. J Artif Intell Res 6:1\u201334","journal-title":"J Artif Intell Res"},{"key":"960_CR48","volume-title":"Data mining: practical machine learning tools and techniques","author":"IH Witten","year":"2011","unstructured":"Witten IH, Frank E, Hall MA (2011) Data mining: practical machine learning tools and techniques, 3rd edn. Morgan Kaufmann, San Francisco","edition":"3"},{"key":"960_CR49","unstructured":"Yang, L. (2006), Distance metric learning: a comprehensive survey, Technical report, Department of Computer Science and Engineering, Michigan State University"},{"issue":"12","key":"960_CR50","doi-asserted-by":"crossref","first-page":"2431","DOI":"10.1109\/TCYB.2014.2307862","volume":"44","author":"J Yu","year":"2014","unstructured":"Yu J, Rui Y, Tang YY, Tao D (2014) High-order distance-based multiview stochastic learning in image classification. IEEE Trans Cybern 44(12):2431\u20132442","journal-title":"IEEE Trans Cybern"},{"key":"960_CR51","doi-asserted-by":"crossref","first-page":"674","DOI":"10.1016\/j.ins.2014.01.025","volume":"281","author":"J Yu","year":"2014","unstructured":"Yu J, Tao D, Li J, Cheng J (2014) Semantic preserving distance metric learning and applications. Inf Sci 281:674\u2013686","journal-title":"Inf Sci"},{"issue":"11","key":"960_CR52","doi-asserted-by":"crossref","first-page":"4636","DOI":"10.1109\/TIP.2012.2207395","volume":"21","author":"J Yu","year":"2012","unstructured":"Yu J, Wang M, Tao D (2012) Semi-supervised multiview distance metric learning for cartoon synthesis. IEEE Trans Image Process 21(11):4636\u2013464","journal-title":"IEEE Trans Image Process"},{"key":"960_CR53","first-page":"1947","volume":"14","author":"NA Zaidi","year":"2013","unstructured":"Zaidi NA, Cerquides J, Carman MJ, Webb GI (2013) Alleviating naive bayes attribute independence assumption by attribute weighting. J Mach Learn Res 14:1947\u20131988","journal-title":"J Mach Learn Res"},{"key":"960_CR54","doi-asserted-by":"crossref","unstructured":"Zhang H, Sheng S (2004) Learning weighted naive bayes with accurate ranking. In: Proceedings of the 4th IEEE international conference on data mining. IEEE, pp\u00a0567\u2013570","DOI":"10.1109\/ICDM.2004.10030"}],"container-title":["Knowledge and Information Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10115-016-0960-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10115-016-0960-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10115-016-0960-x","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10115-016-0960-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,8]],"date-time":"2019-09-08T16:56:33Z","timestamp":1567961793000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10115-016-0960-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,5,25]]},"references-count":54,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2017,3]]}},"alternative-id":["960"],"URL":"https:\/\/doi.org\/10.1007\/s10115-016-0960-x","relation":{},"ISSN":["0219-1377","0219-3116"],"issn-type":[{"value":"0219-1377","type":"print"},{"value":"0219-3116","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,5,25]]}}}