{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T10:20:27Z","timestamp":1763202027338,"version":"3.40.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319501260"},{"type":"electronic","value":"9783319501277"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-50127-7_17","type":"book-chapter","created":{"date-parts":[[2016,11,29]],"date-time":"2016-11-29T01:04:06Z","timestamp":1480381446000},"page":"203-214","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["CPF: Concept Profiling Framework for Recurring Drifts in Data Streams"],"prefix":"10.1007","author":[{"given":"Robert","family":"Anderson","sequence":"first","affiliation":[]},{"given":"Yun Sing","family":"Koh","sequence":"additional","affiliation":[]},{"given":"Gillian","family":"Dobbie","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,11,29]]},"reference":[{"unstructured":"Tsymbal, A.: The problem of concept drift: definitions and related work. Technical report TCD-CS-2004-15, Trinity College Dublin (2004)","key":"17_CR1"},{"key":"17_CR2","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1007\/BF00116900","volume":"23","author":"G Widmer","year":"1996","unstructured":"Widmer, G., Kubat, M.: Learning in the presence of concept drift and hidden contexts. Mach. Learn. 23, 69\u2013101 (1996)","journal-title":"Mach. Learn."},{"key":"17_CR3","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1007\/s10618-006-0050-x","volume":"13","author":"Y Yang","year":"2006","unstructured":"Yang, Y., Wu, X., Zhu, X.: Mining in anticipation for concept change: proactive-reactive prediction in data streams. Data Mining Knowl. Disc. 13, 261\u2013289 (2006)","journal-title":"Data Mining Knowl. Disc."},{"key":"17_CR4","doi-asserted-by":"publisher","first-page":"803","DOI":"10.3233\/IDA-2012-0552","volume":"16","author":"JB Gomes","year":"2012","unstructured":"Gomes, J.B., Sousa, P.A., Menasalvas, E.: Tracking recurrent concepts using context. Intell. Data Anal. 16, 803\u2013825 (2012)","journal-title":"Intell. Data Anal."},{"key":"17_CR5","doi-asserted-by":"publisher","first-page":"1018","DOI":"10.1016\/j.patrec.2013.02.005","volume":"34","author":"PM Gon\u00e7alves","year":"2013","unstructured":"Gon\u00e7alves, P.M., De Barros, R.S.M.: RCD: a recurring concept drift framework. Pattern Recogn. Lett. 34, 1018\u20131025 (2013)","journal-title":"Pattern Recogn. Lett."},{"key":"17_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2523813","volume":"46","author":"JA Gama","year":"2014","unstructured":"Gama, J.A., \u017dliobait\u0117, I., Bifet, A., Pechenizkiy, M., Bouchachia, A.: A survey on concept drift adaptation. ACM Comput. Surv. 46, 1\u201337 (2014)","journal-title":"ACM Comput. Surv."},{"doi-asserted-by":"crossref","unstructured":"Domingos, P., Hulten, G.: Mining high-speed data streams. In: Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 71\u201380. ACM (2000)","key":"17_CR7","DOI":"10.1145\/347090.347107"},{"key":"17_CR8","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1080\/01621459.1963.10500830","volume":"58","author":"W Hoeffding","year":"1963","unstructured":"Hoeffding, W.: Probability inequalities for sums of bounded random variables. J. Am. Stat. Assoc. 58, 13\u201330 (1963)","journal-title":"J. Am. Stat. Assoc."},{"key":"17_CR9","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"286","DOI":"10.1007\/978-3-540-28645-5_29","volume-title":"Advances in Artificial Intelligence \u2013 SBIA 2004","author":"J Gama","year":"2004","unstructured":"Gama, J., Medas, P., Castillo, G., Rodrigues, P.: Learning with drift detection. In: Bazzan, A.L.C., Labidi, S. (eds.) SBIA 2004. LNCS (LNAI), vol. 3171, pp. 286\u2013295. Springer, Heidelberg (2004). doi:10.1007\/978-3-540-28645-5_29"},{"unstructured":"Baena-Garc\u0131a, M., del Campo-\u00c1vila, J., Fidalgo, R., Bifet, A., Gavalda, R., Morales-Bueno, R.: Early drift detection method. In: Fourth International Workshop on Knowledge Discovery from Data Streams, vol. 6, pp. 77\u201386 (2006)","key":"17_CR10"},{"key":"17_CR11","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"423","DOI":"10.1007\/978-3-642-04686-5_35","volume-title":"Progress in Artificial Intelligence","author":"J Gama","year":"2009","unstructured":"Gama, J., Kosina, P.: Tracking recurring concepts with meta-learners. In: Lopes, L.S., Lau, N., Mariano, P., Rocha, L.M. (eds.) EPIA 2009. LNCS (LNAI), vol. 5816, pp. 423\u2013434. Springer, Heidelberg (2009). doi:10.1007\/978-3-642-04686-5_35"},{"key":"17_CR12","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1109\/TNNLS.2013.2251352","volume":"25","author":"D Brzezinski","year":"2014","unstructured":"Brzezinski, D., Stefanowski, J.: Reacting to different types of concept drift: the accuracy updated ensemble algorithm. IEEE Trans. Neural Netw. Learn.Syst. 25, 81\u201394 (2014)","journal-title":"IEEE Trans. Neural Netw. Learn.Syst."},{"doi-asserted-by":"crossref","unstructured":"Hulten, G., Spencer, L., Domingos, P.: Mining time-changing data streams. In: Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 97\u2013106. ACM (2001)","key":"17_CR13","DOI":"10.1145\/502512.502529"},{"unstructured":"Kawala, F., Douzal-Chouakria, A., Gaussier, E., Dimert, E.: Pr\u00e9dictions d\u2019activit\u00e9 dans les r\u00e9seaux sociaux en ligne. In: 4i\u00e8me conf\u00e9rence sur les mod\u00e8les et l\u2019analyse des r\u00e9seaux: Approches math\u00e9matiques et informatiques, pp. 16\u201328 (2013)","key":"17_CR14"}],"container-title":["Lecture Notes in Computer Science","AI 2016: Advances in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-50127-7_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,6]],"date-time":"2023-11-06T19:04:34Z","timestamp":1699297474000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-50127-7_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319501260","9783319501277"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-50127-7_17","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]},"assertion":[{"value":"29 November 2016","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australasian Joint Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hobart, TAS","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2016","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 December 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 December 2016","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ausai2016","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ai2016.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}