{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T04:04:43Z","timestamp":1773806683584,"version":"3.50.1"},"reference-count":64,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2014,10,12]],"date-time":"2014-10-12T00:00:00Z","timestamp":1413072000000},"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":["Data Min Knowl Disc"],"published-print":{"date-parts":[[2015,11]]},"DOI":"10.1007\/s10618-014-0388-4","type":"journal-article","created":{"date-parts":[[2014,10,13]],"date-time":"2014-10-13T05:33:12Z","timestamp":1413178392000},"page":"1622-1664","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":46,"title":["A general framework for never-ending learning from time series streams"],"prefix":"10.1007","volume":"29","author":[{"given":"Yanping","family":"Chen","sequence":"first","affiliation":[]},{"given":"Yuan","family":"Hao","sequence":"additional","affiliation":[]},{"given":"Thanawin","family":"Rakthanmanon","sequence":"additional","affiliation":[]},{"given":"Jesin","family":"Zakaria","sequence":"additional","affiliation":[]},{"given":"Bing","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Eamonn","family":"Keogh","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2014,10,12]]},"reference":[{"key":"388_CR1","unstructured":"Achtert E, Bohm C, Kriegel H-P, Kr\u00f6ger P (2005) Online hierarchical clustering in a data warehouse environment data mining. ICDM, pp 10\u201317"},{"key":"388_CR2","volume-title":"The northeast bird monitoring handbook","author":"JD Ambert","year":"2009","unstructured":"Ambert JD, Hodgman TP, Laurent EJ, Brewer GL, Iliff MJ, Dettmers R (2009) The northeast bird monitoring handbook. American Bird Conservancy, The Plains, VA"},{"key":"388_CR3","unstructured":"Bache K, Lichman M (2013) UCI machine learning repository. University of California, School of Information and Computer Science, Irvine, CA. http:\/\/archive.ics.uci.edu\/ml\/datasets\/Individual+household+electric+power+consumption"},{"key":"388_CR4","doi-asserted-by":"crossref","first-page":"1524","DOI":"10.1016\/j.patrec.2009.09.014","volume":"31","author":"R Bardeli","year":"2010","unstructured":"Bardeli R, Wolff D, Kurth F, Koch M, Frommolt KH (2010) Detecting bird sounds in a complex acoustic environment and application to bioacoustic monitoring. Pattern Recognit Lett 31:1524\u20131534","journal-title":"Pattern Recognit Lett"},{"key":"388_CR5","doi-asserted-by":"crossref","unstructured":"Barrenetxea G et al (2008) Sensorscope: out-of-the-box environmental monitoring. In: IPSN, San Francisco","DOI":"10.1109\/IPSN.2008.28"},{"key":"388_CR6","unstructured":"Batista G, Keogh E, Mafra-Neto A, Rowton E (2011) Sensors and software to allow computational entomology, an emerging application of data mining. In: KDD, pp 761\u2013764"},{"issue":"5","key":"388_CR7","doi-asserted-by":"crossref","first-page":"844","DOI":"10.1111\/j.1530-9290.2010.00280.x","volume":"14","author":"M Berges","year":"2010","unstructured":"Berges M, Goldman E, Matthews HS, Soibelman L (2010) Enhancing electricity audits in residential buildings with non-intrusive load monitoring. J Ind Ecol 14(5):844\u2013858","journal-title":"J Ind Ecol"},{"key":"388_CR8","doi-asserted-by":"crossref","unstructured":"Berlin E, Laerhoven K (2012) Detecting leisure activities with dense motif discovery. In: Proceedings of the 2012 intl conference on uniquitous computing, pp 250\u2013259","DOI":"10.1145\/2370216.2370257"},{"key":"388_CR9","doi-asserted-by":"crossref","unstructured":"Borazio M, Laerhoven K (2012) Combining wearable and environmental sensing into an unobtrusive tool for long-term sleep studies. In: 2nd ACM SIGHIT","DOI":"10.1145\/2110363.2110375"},{"key":"388_CR10","doi-asserted-by":"crossref","first-page":"e23378","DOI":"10.1371\/journal.pone.0023378","volume":"6","author":"ASLO Campanharo","year":"2011","unstructured":"Campanharo ASLO, Sirer MI, Malgren RD, Ramos FM, Nunes LAN (2011) Duality between time series and networks. Plos One 6:e23378","journal-title":"Plos One"},{"key":"388_CR11","doi-asserted-by":"crossref","unstructured":"Carlson A, Betteridge J, Kisiel B, Settles B, Hruschka Jr ER, Mitchell TM (2010) Toward an architecture for never-ending language learning. In: Proc\u2019 AAAI","DOI":"10.1609\/aaai.v24i1.7519"},{"key":"388_CR12","doi-asserted-by":"crossref","unstructured":"Charikar M, Chen K, Farach-Colton M (2002) Finding frequent items in data streams. InL Proceedings of the 29th ICALP international colloquium on automata, languages and programming, pp 693\u2013703","DOI":"10.1007\/3-540-45465-9_59"},{"key":"388_CR13","unstructured":"Chen Y (2014) Project webpage. https:\/\/sites.google.com\/site\/nelframework\/ . Accessed 03 April 2014"},{"issue":"5","key":"388_CR14","doi-asserted-by":"crossref","first-page":"657","DOI":"10.1007\/s10905-014-9454-4","volume":"27","author":"Y Chen","year":"2014","unstructured":"Chen Y, Why A, Batista G, Mafra-Neto A, Keogh E (2014) Flying insect classification with inexpensive sensors. J Insect Behav 27(5):657\u2013677","journal-title":"J Insect Behav"},{"key":"388_CR15","doi-asserted-by":"crossref","unstructured":"Chiu B, Keogh E, Lonardi S (2003) Probabilistic discovery of time series motifs. In: Proceedings of the ninth ACM SIGKDD international conference on knowledge discovery and data mining, pp 493\u2013498","DOI":"10.1145\/956750.956808"},{"issue":"1","key":"388_CR16","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/s00778-009-0172-z","volume":"19","author":"G Cormode","year":"2010","unstructured":"Cormode G, Hadjieleftheriou M (2010) Methods for finding frequent items in data streams. VLDB J 19(1):3\u201320","journal-title":"VLDB J"},{"key":"388_CR17","doi-asserted-by":"crossref","unstructured":"Dagan I, Engelson SP (1995) Committee-based sampling for training probabilistic classifiers. In: ICML, vol 95, pp 150\u2013157","DOI":"10.1016\/B978-1-55860-377-6.50027-X"},{"issue":"6","key":"388_CR18","doi-asserted-by":"crossref","first-page":"1201","DOI":"10.1111\/j.1365-2664.2009.01731.x","volume":"46","author":"DK Dawson","year":"2009","unstructured":"Dawson DK, Efford MG (2009) Bird Population Density Estimated from Acoustic Signals. Journal of Applied Ecology. 46(6):1201\u20131209","journal-title":"Journal of Applied Ecology."},{"key":"388_CR19","doi-asserted-by":"crossref","unstructured":"Ding H, Trajcevski G, Scheuermann P, Wang X, Keogh EJ (2008) Querying and mining of time series data. Experimental comparison of representations and distance measures. PVLDB 1(2):1542\u20131552","DOI":"10.14778\/1454159.1454226"},{"key":"388_CR20","isbn-type":"print","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780198509943.001.0001","volume-title":"Oxford dictionary of statistical terms","author":"Y Dodge","year":"2003","unstructured":"Dodge Y (2003) Oxford dictionary of statistical terms. OUP, Oxford. ISBN 0-19-850994-4","ISBN":"https:\/\/id.crossref.org\/isbn\/0198509944"},{"key":"388_CR21","doi-asserted-by":"crossref","unstructured":"Elkan C, Noto K (2008) Learning classifiers from only positive and unlabeled data. KDD, pp 213\u2013220","DOI":"10.1145\/1401890.1401920"},{"issue":"3","key":"388_CR22","doi-asserted-by":"crossref","first-page":"270","DOI":"10.1145\/859716.859719","volume":"21","author":"C Estan","year":"2003","unstructured":"Estan C, Varghese G (2003) New directions in traffic measurement and accounting: focusing on the elephants, ignoring the mice. ACM Trans Comput Syst 21(3):270\u2013313","journal-title":"ACM Trans Comput Syst"},{"issue":"14","key":"388_CR23","doi-asserted-by":"crossref","first-page":"1754","DOI":"10.1001\/jama.286.14.1754","volume":"286","author":"F Ferreira","year":"2001","unstructured":"Ferreira F, Bota D, Bross A, M\u00e9lot C, Vincent J (2001) Serial evaluation of the SOFA score to predict outcome in critically ill patients. JAMA 286(14):1754\u20131758","journal-title":"JAMA"},{"issue":"4","key":"388_CR24","first-page":"573","volume":"24","author":"A Fujii","year":"1998","unstructured":"Fujii A, Tokunaga T, Inui K, Tanaka H (1998) Selective sampling for example-based word sense disambiguation. Comput Linguist 24(4):573\u2013597","journal-title":"Comput Linguist"},{"issue":"23","key":"388_CR25","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1161\/01.CIR.101.23.e215","volume":"101","author":"A Goldberger","year":"2000","unstructured":"Goldberger A et al (2000) PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals. Circulation 101(23):215\u2013220","journal-title":"Circulation"},{"key":"388_CR26","unstructured":"Goldberger A et al (2013) Physionet. http:\/\/physionet.ph.biu.ac.il\/physiobank\/database\/chfdb\/ . Accessed 04 Feb 2013"},{"key":"388_CR27","unstructured":"Google Prediction API. https:\/\/developers.google.com\/prediction\/docs\/pricing . Accessed 31 Jul 2013"},{"key":"388_CR28","doi-asserted-by":"crossref","unstructured":"Gupta S, Reynolds S, Patel SN (2010) ElectriSense: single-point sensing using EMI for electrical event detection and classification in the home. In: Proceedings of the conference on ubiquitous computing","DOI":"10.1145\/1864349.1864375"},{"key":"388_CR29","unstructured":"Hinman J, Hickey E (2009) Modeling and forecasting short-term electricity load using regression analysis. Working paper, Illinois State University, Normal (US), Fall"},{"key":"388_CR30","isbn-type":"print","volume-title":"Nightjars and their allies: the caprimulgiformes","author":"DT Holyoak","year":"2001","unstructured":"Holyoak DT (2001) Nightjars and their allies: the caprimulgiformes. Oxford University Press, Oxford, New York. ISBN 0-19-854987-3","ISBN":"https:\/\/id.crossref.org\/isbn\/0198549873"},{"key":"388_CR31","doi-asserted-by":"crossref","unstructured":"Hu B, Chen Y, Keogh EJ (2013) Time series classification under more realistic assumptions. In: SDM","DOI":"10.1137\/1.9781611972832.64"},{"key":"388_CR32","doi-asserted-by":"crossref","unstructured":"Jin C, Qian W, Sha C, Yu J, Zhou A (2003) Dynamically maintaining frequent items over a data stream. In: Proceedings of the 12th ACM CIKM international conference on information and knowledge management, pp 287\u2013294","DOI":"10.1145\/956863.956918"},{"key":"388_CR33","doi-asserted-by":"crossref","first-page":"1235","DOI":"10.1016\/j.jinsphys.2012.06.008","volume":"58","author":"S Jin","year":"2012","unstructured":"Jin S, Chen Z, Backus E, Sun X, Xiao B (2012) Characterization of EPG waveforms for the tea green leafhopper on tea plants and their correlation with stylet activities. J Insect Physiol 58:1235\u20131244","journal-title":"J Insect Physiol"},{"key":"388_CR34","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1145\/762471.762473","volume":"28","author":"R Karp","year":"2003","unstructured":"Karp R, Papadimitriou C, Shenker S (2003) A simple algorithm for finding frequent elements in sets and bags. ACM Trans Database Syst 28:51\u201355","journal-title":"ACM Trans Database Syst"},{"key":"388_CR35","unstructured":"Keogh E, Zhu Q, Hu B, Hao Y, Xi X, Wei L, Ratanamahatana CA (2011) The UCR time series classification\/clustering homepage. www.cs.ucr.edu\/~eamonn\/time_series_data\/"},{"key":"388_CR36","first-page":"1472","volume":"22","author":"J Kolter","year":"2012","unstructured":"Kolter J, Jaakkola T (2012) Approximate inference in additive factorial HMMs with application to energy disaggregation. J Mach Learn Res 22:1472\u20131482","journal-title":"J Mach Learn Res"},{"key":"388_CR37","unstructured":"Krishnamurthy A, Balakrishnan S, Xu M, Singh A (2012) Efficient active algorithms for hierarchical clustering. arXiv:1206.4672"},{"key":"388_CR38","doi-asserted-by":"crossref","unstructured":"Lines J, Bagnall A, Caiger-Smith P, Anderson S (2011) Classification of household devices by electricity usage profiles. In: IDEAL, pp 403\u2013412","DOI":"10.1007\/978-3-642-23878-9_48"},{"issue":"3","key":"388_CR39","first-page":"300","volume":"36","author":"J MacLeod","year":"2012","unstructured":"MacLeod J, Greene T, MacKenzie DI, Allen RB (2012) Monitoring widespread and common bird species on New Zealand\u2019s conservation lands: a pilot study. N Z J Ecol 36(3):300\u2013311","journal-title":"N Z J Ecol"},{"key":"388_CR40","doi-asserted-by":"crossref","unstructured":"Manku G, Motwani R (2002) Approximate frequency counts over data streams. In: International conference on very large databases, pp 346\u2013357","DOI":"10.1016\/B978-155860869-6\/50038-X"},{"key":"388_CR41","volume-title":"Pattern recognition and artificial intelligence","author":"P Mermelstein","year":"1976","unstructured":"Mermelstein P (1976) Distance measures for speech recognition, psychological and instrumental. In: Chen CH (ed) Pattern recognition and artificial intelligence. Academic Press, New York"},{"key":"388_CR42","doi-asserted-by":"crossref","unstructured":"Metwally A, Agrawal D, Abbadi AE (2005) Efficient computation of frequent and top-k elements in data streams. In: International conference on database theory","DOI":"10.1007\/978-3-540-30570-5_27"},{"key":"388_CR43","first-page":"12","volume":"42","author":"L Mitchell","year":"1981","unstructured":"Mitchell L (1981) Time segregated mosquito collections with a CDC miniature light trap. Mosquito News 42:12","journal-title":"Mosquito News"},{"key":"388_CR44","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1890\/120321","volume":"11","author":"L Morales","year":"2013","unstructured":"Morales L, Arbetman MP, Cameron SA, Aizen MA (2013) Rapid ecological replacement of a native bumble bee by invasive species. Frontiers Ecol Environ 11:529\u2013534","journal-title":"Frontiers Ecol Environ"},{"key":"388_CR45","doi-asserted-by":"crossref","unstructured":"Mueen A, Keogh EJ, Young N (2011) Logical-shapelets: an expressive primitive for time series classification. In: KDD, pp 1154\u20131162","DOI":"10.1145\/2020408.2020587"},{"key":"388_CR46","doi-asserted-by":"crossref","unstructured":"Mueen A, Keogh EJ (2010) Online discovery and maintenance of time series motifs. In: KDD, pp 1089\u20131098","DOI":"10.1145\/1835804.1835941"},{"key":"388_CR47","doi-asserted-by":"crossref","unstructured":"Nassar S, Sander J, Cheng C (2004) Incremental and effective data summarization for dynamic hierarchical clustering. In: SIGMOD Conference, pp 467\u2013478","DOI":"10.1145\/1007568.1007621"},{"key":"388_CR48","volume-title":"Markov chains","author":"JR Norris","year":"1998","unstructured":"Norris JR (1998) Markov chains. Cambridge university press, Cambridge"},{"key":"388_CR49","unstructured":"PAMAP (2012) Physical activity monitoring for aging people. www.pamap.org\/demo.html . Retrieved 2012"},{"key":"388_CR50","first-page":"275","volume":"6","author":"CS Robbins","year":"1981","unstructured":"Robbins CS (1981) Effect of time of day on bird activity. Stud Avian Biol 6:275\u2013286","journal-title":"Stud Avian Biol"},{"key":"388_CR51","unstructured":"Roggen D et al (2012) Collecting complex activity data sets in highly rich networked sensor environments. In: Proc\u2019 7th IEEE INSS, pp 233\u2013240"},{"key":"388_CR52","doi-asserted-by":"crossref","unstructured":"Rakthanmanon T, Campana B, Mueen A, Batista G, Westover B, Zhu Q et al (2012) Searching and mining trillions of time series subsequences under dynamic time warping. Proceedings of the 18th ACM SIGKDD intersnational conference on knowledge discovery and data mining. ACM, New York, pp 262\u2013270","DOI":"10.1145\/2339530.2339576"},{"key":"388_CR53","unstructured":"Rowling JK (1997) Harry Potter and the chamber of secrets. Levine Books (scholastics), New York, Read by Stephan Fry, Arthur A"},{"key":"388_CR54","isbn-type":"print","volume-title":"Introduction to modern information retrieval","author":"G Salton","year":"1986","unstructured":"Salton G, McGill MJ (1986) Introduction to modern information retrieval. McGraw-Hill, New York. ISBN 0-07-054484-0","ISBN":"https:\/\/id.crossref.org\/isbn\/0070544840"},{"key":"388_CR55","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-031-01560-1","volume-title":"Active learning","author":"B Settles","year":"2012","unstructured":"Settles B (2012) Active learning. Morgan & Claypool, San Rafael"},{"key":"388_CR56","unstructured":"Settles B, Craven M, Friedland L (2008) Active learning with real annotation costs. In: Proceedings of the NIPS workshop on cost-sensitive learning"},{"key":"388_CR57","doi-asserted-by":"crossref","unstructured":"Shrivastava N, Buragohain C, Agrawal D, Suri S (2004) Medians and beyond: new aggregation techniques for sensor networks. In: ACM SenSys","DOI":"10.1145\/1031495.1031524"},{"key":"388_CR58","doi-asserted-by":"crossref","unstructured":"Stikic M, Huynh T, Laerhoven KV, Schiele B (2008) ADL recognition based on the combination of RFID and accelerometer sensing. In: PervasiveHealth, pp 258\u2013263","DOI":"10.1109\/PCTHEALTH.2008.4571084"},{"issue":"2","key":"388_CR59","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1016\/j.specom.2004.08.002","volume":"45","author":"G Tur","year":"2005","unstructured":"Tur G, Hakkani-T\u00fcr D, Schapire RE (2005) Combining active and semi-supervised learning for spoken language understanding. Speech Commun 45(2):171\u2013186","journal-title":"Speech Commun"},{"key":"388_CR60","volume-title":"Information retrieval","author":"J Rijsbergen Van","year":"1979","unstructured":"Van Rijsbergen J (1979) Information retrieval, 2nd edn. Butterworths, London","edition":"2"},{"key":"388_CR61","doi-asserted-by":"crossref","unstructured":"Veeraraghavan A, Chellappa R, Roy-Chowdhury AK (2006) The function space of an activity. In: Computer vision and pattern recognition","DOI":"10.1109\/CVPR.2006.304"},{"key":"388_CR62","doi-asserted-by":"crossref","first-page":"18803","DOI":"10.1073\/pnas.1013140107","volume":"107","author":"Y Wu","year":"2010","unstructured":"Wu Y, Zhou C, Xiao J, Kurths J, Schellnhuber HJ (2010) Evidence for a bimodal distribution in human communication. Proc Natl Acad Sci USA 107:18803\u201318808","journal-title":"Proc Natl Acad Sci USA"},{"key":"388_CR63","doi-asserted-by":"crossref","unstructured":"Yu H (2005) SVM selective sampling for ranking with application to data retrieval. In: Proceedings of the eleventh ACM SIGKDD international conference on knowledge discovery in data mining. ACM, New York","DOI":"10.1145\/1081870.1081911"},{"issue":"2","key":"388_CR64","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1561\/1100000012","volume":"5","author":"S Zhai","year":"2012","unstructured":"Zhai S, Kristensson PO, Appert C, Anderson TH, Cao X (2012) Foundational issues in touch-surface stroke gesture design-an integrative review. Found Trends Hum Comput Interact 5(2):97\u2013205","journal-title":"Found Trends Hum Comput Interact"}],"container-title":["Data Mining and Knowledge Discovery"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10618-014-0388-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10618-014-0388-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10618-014-0388-4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,5]],"date-time":"2025-05-05T03:36:17Z","timestamp":1746416177000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10618-014-0388-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,10,12]]},"references-count":64,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2015,11]]}},"alternative-id":["388"],"URL":"https:\/\/doi.org\/10.1007\/s10618-014-0388-4","relation":{},"ISSN":["1384-5810","1573-756X"],"issn-type":[{"value":"1384-5810","type":"print"},{"value":"1573-756X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,10,12]]}}}