{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T16:17:41Z","timestamp":1761581861823,"version":"3.37.3"},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2019,8,16]],"date-time":"2019-08-16T00:00:00Z","timestamp":1565913600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,8,16]],"date-time":"2019-08-16T00:00:00Z","timestamp":1565913600000},"content-version":"vor","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":["61866007","61762029"],"award-info":[{"award-number":["61866007","61762029"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. &amp; Cyber."],"published-print":{"date-parts":[[2019,10]]},"DOI":"10.1007\/s13042-019-00998-3","type":"journal-article","created":{"date-parts":[[2019,8,16]],"date-time":"2019-08-16T07:03:07Z","timestamp":1565938987000},"page":"2941-2962","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Online transfer learning with multiple decision trees"],"prefix":"10.1007","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5017-3987","authenticated-orcid":false,"given":"Yimin","family":"Wen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yixiu","family":"Qin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Keke","family":"Qin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoxia","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pingshan","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,8,16]]},"reference":[{"issue":"2","key":"998_CR1","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1561\/2200000018","volume":"4","author":"S Shalev-Shwartz","year":"2012","unstructured":"Shalev-Shwartz S (2012) Online learning and online convex optimization. Found Trends Mach Learn 4(2):107\u2013194","journal-title":"Found Trends Mach Learn"},{"key":"998_CR2","doi-asserted-by":"crossref","unstructured":"Domingos P, Hulten G (2000) Mining high-speed data streams. In: Proc. of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York: ACM, pp. 71\u201380","DOI":"10.1145\/347090.347107"},{"key":"998_CR3","doi-asserted-by":"crossref","unstructured":"Chattopadhyay R, Ye J, Panchanathan S, et al (2011) Multisource domain adaptation and its application to early detection of fatigue. In: Pro of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining, New York: ACM, pp. 717\u2013725","DOI":"10.1145\/2020408.2020520"},{"issue":"1","key":"998_CR4","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1007\/s13042-015-0333-x","volume":"9","author":"P Sidhu","year":"2018","unstructured":"Sidhu P, Bhatia MPS (2018) A novel online ensemble approach to handle concept drifting data streams: diversified dynamic weighted majority. Int J Mach Learn Cybern 9(1):37\u201361","journal-title":"Int J Mach Learn Cybern"},{"issue":"10","key":"998_CR5","doi-asserted-by":"publisher","first-page":"1345","DOI":"10.1109\/TKDE.2009.191","volume":"22","author":"SJ Pan","year":"2010","unstructured":"Pan SJ, Yang Q (2010) A Survey on transfer learning. IEEE Trans Knowl Data Eng 22(10):1345\u20131359","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"1","key":"998_CR6","first-page":"26","volume":"26","author":"FZ Zhuang","year":"2015","unstructured":"Zhuang FZ, Luo P, He Q et al (2015) Survey on transfer learning research. J Softw 26(1):26\u201339 (in Chinese)","journal-title":"J Softw"},{"issue":"1","key":"998_CR7","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1186\/s40537-016-0043-6","volume":"3","author":"K Weiss","year":"2016","unstructured":"Weiss K, Khoshgoftaar TM, Wang DD (2016) A survey of transfer learning. J Big Data 3(1):9\u201348","journal-title":"J Big Data"},{"issue":"4","key":"998_CR8","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1016\/j.artint.2013.01.003","volume":"197","author":"W Pan","year":"2013","unstructured":"Pan W, Yang Q (2013) Transfer learning in heterogeneous collaborative filtering domains. Artif Intell 197(4):39\u201355","journal-title":"Artif Intell"},{"issue":"1","key":"998_CR9","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1016\/j.knosys.2014.09.013","volume":"73","author":"W Pan","year":"2015","unstructured":"Pan W, Zhong H, Xu C et al (2015) Adaptive bayesian personalized ranking for heterogeneous implicit feedbacks. Knowl-Based Syst 73(1):173\u2013180","journal-title":"Knowl-Based Syst"},{"key":"998_CR10","doi-asserted-by":"crossref","unstructured":"Quattoni A, Collins M, Darrell T (2008) Transfer learning for image classification with sparse prototype representations. In: Proc of the Computer Vision and Pattern Recognition. Piscataway: IEEE, pp. 1\u20138","DOI":"10.1109\/CVPR.2008.4587637"},{"key":"998_CR11","unstructured":"Zhao P, Hoi SCH (2010) OTL: a framework of online transfer learning. In: Proc. of the international conference on machine learning. New York: ACM, pp. 1231\u20131238"},{"issue":"16","key":"998_CR12","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1016\/j.artint.2014.06.003","volume":"216","author":"P Zhao","year":"2014","unstructured":"Zhao P, Hoi SCH, Wang J et al (2014) Online transfer learning. J Artif Intell 216(16):76\u2013102","journal-title":"J Artif Intell"},{"issue":"7","key":"998_CR13","doi-asserted-by":"publisher","first-page":"1494","DOI":"10.1109\/TKDE.2017.2685597","volume":"29","author":"Q Wu","year":"2017","unstructured":"Wu Q, Wu H, Zhou X et al (2017) Online transfer learning with multiple homogeneous or heterogeneous Sources. IEEE Trans Knowl Data Eng 29(7):1494\u20131507","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"8","key":"998_CR14","first-page":"1707","volume":"52","author":"ZJ Li","year":"2015","unstructured":"Li ZJ, Li YX, Wang F et al (2015) Online learning algorithms for big data analytics: a survey. J Comput Res Dev 52(8):1707\u20131721 (in Chinese)","journal-title":"J Comput Res Dev"},{"issue":"6","key":"998_CR15","doi-asserted-by":"publisher","first-page":"386","DOI":"10.1037\/h0042519","volume":"65","author":"F Rosenblatt","year":"1958","unstructured":"Rosenblatt F (1958) The perceptron: a probabilistic model for information storage and organization in the brain. Psychol Rev 65(6):386\u2013408","journal-title":"Psychol Rev"},{"issue":"3","key":"998_CR16","first-page":"551","volume":"7","author":"K Crammer","year":"2006","unstructured":"Crammer K, Dekel O, Keshet J et al (2006) Online passive-aggressive algorithms. J Mach Learn Res 7(3):551\u2013585","journal-title":"J Mach Learn Res"},{"key":"998_CR17","doi-asserted-by":"crossref","unstructured":"Gama J, Rocha R, Medas P (2003) Accurate decision trees for mining high-speed data streams. In: Proc. of the ACM SIGKDD international conference on knowledge discovery and data mining. New York: ACM, pp 523\u2013528","DOI":"10.1145\/956750.956813"},{"key":"998_CR18","doi-asserted-by":"crossref","unstructured":"Dai W, Yang Q, Xue G R et al (2007) Boosting for transfer learning. In: Proc. of the 24th international conference on Machine learning. New York: ACM, pp 193\u2013200","DOI":"10.1145\/1273496.1273521"},{"key":"998_CR19","doi-asserted-by":"crossref","unstructured":"Eaton E, Desjardins M (2011) Selective transfer between learning tasks using task-based boosting. In: Proc. of the AAAI conference on artificial intelligence. Menlo Park: AAAI, pp 337\u2013342","DOI":"10.1609\/aaai.v25i1.7932"},{"issue":"12","key":"998_CR20","doi-asserted-by":"publisher","first-page":"2186","DOI":"10.3724\/SP.J.1004.2013.02186","volume":"39","author":"XS Wang","year":"2013","unstructured":"Wang XS, Pan J, Cheng YH et al (2013) Self-adaptive transfer for decision trees based on similarity metric. Acta Automatica Sinica 39(12):2186\u20132192 (in Chinese)","journal-title":"Acta Automatica Sinica"},{"key":"998_CR21","doi-asserted-by":"crossref","unstructured":"Gao J, Fan W, Jiang J et al (2008) Knowledge transfer via multiple model local structure mapping. In: Proc. of the ACM SIGKDD international conference on knowledge discovery and data mining. New York: ACM, pp 283\u2013291","DOI":"10.1145\/1401890.1401928"},{"key":"998_CR22","doi-asserted-by":"crossref","unstructured":"Ge L, Gao J, Zhang AD (2013) OMS-TL: a framework of online multiple source transfer learning. In: Proc. of the 22nd ACM international conference on information and knowledge management. New York: ACM, pp 2423\u20132428","DOI":"10.1145\/2505515.2505603"},{"issue":"11","key":"998_CR23","first-page":"2940","volume":"28","author":"SQ Tang","year":"2017","unstructured":"Tang SQ, Wen YM, Qin YX (2017) Online transfer learning from multiple sources based on local classification accuracy. J Softw 28(11):2940\u20132960 (in Chinese)","journal-title":"J Softw"},{"key":"998_CR24","doi-asserted-by":"crossref","unstructured":"Zadrozny B, Elkan C (2001) Learning and making decisions when costs and probabilities are both unknown. In: Proc. of the ACM SIGKDD international conference on knowledge discovery & data mining. New York: ACM, pp 204\u2013213","DOI":"10.1145\/502512.502540"},{"key":"998_CR25","doi-asserted-by":"crossref","unstructured":"Ntoutsi I, Kalousis A, Theodoridis Y (2008) A general framework for estimating similarity of datasets and decision trees: exploring semantic similarity of decision trees. In: Proc. of the SIAM international conference on data mining. Philadelphia: SIAM, pp 810\u2013821","DOI":"10.1137\/1.9781611972788.73"},{"key":"998_CR26","unstructured":"Huang Z (1997) Clustering large datasets with mixed numeric and categorical values. In: Proc. of the 1st Pacific-asia conference on knowledge discovery and data mining. Springer, Berlin, pp 21\u201334"},{"issue":"2","key":"998_CR27","first-page":"1601","volume":"11","author":"A Bifet","year":"2010","unstructured":"Bifet A, Holmes G, Kirkby R et al (2010) MOA: massive online analysis. J Mach Learn Res 11(2):1601\u20131604","journal-title":"J Mach Learn Res"},{"key":"998_CR28","unstructured":"Xiang W E, Pan J S, Pan W et al (2011) Source-selection-free transfer learning, In: Proc of the twenty-second international joint conference on artificial intelligence, Menlo Park: AAAI, pp 2355\u20132360"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-019-00998-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13042-019-00998-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-019-00998-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,25]],"date-time":"2022-09-25T19:23:42Z","timestamp":1664133822000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13042-019-00998-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,8,16]]},"references-count":28,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2019,10]]}},"alternative-id":["998"],"URL":"https:\/\/doi.org\/10.1007\/s13042-019-00998-3","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"type":"print","value":"1868-8071"},{"type":"electronic","value":"1868-808X"}],"subject":[],"published":{"date-parts":[[2019,8,16]]},"assertion":[{"value":"8 May 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 August 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 August 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}