{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T23:39:01Z","timestamp":1725838741732},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319263496"},{"type":"electronic","value":"9783319263502"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-26350-2_45","type":"book-chapter","created":{"date-parts":[[2015,11,21]],"date-time":"2015-11-21T10:59:35Z","timestamp":1448103575000},"page":"505-516","source":"Crossref","is-referenced-by-count":1,"title":["Event Classification Using Adaptive Cluster-Based Ensemble Learning of Streaming Sensor Data"],"prefix":"10.1007","author":[{"given":"Ahmad","family":"Shahi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Brendon J.","family":"Woodford","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jeremiah D.","family":"Deng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,11,22]]},"reference":[{"key":"45_CR1","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1016\/j.autcon.2015.03.015","volume":"54","author":"A Shahi","year":"2015","unstructured":"Shahi, A., Sulaiman, M.N., Mustapha, N., Perumal, T.: Naive bayesian decision model for the interoperability of heterogeneous systems in an intelligent building environment. Automat. Construct. 54, 83\u201392 (2015)","journal-title":"Automat. Construct."},{"issue":"9","key":"45_CR2","doi-asserted-by":"publisher","first-page":"2120","DOI":"10.1109\/TKDE.2013.49","volume":"26","author":"A Jurek","year":"2014","unstructured":"Jurek, A., Bi, Y., Shengli, W., Nugent, C.D.: Clustering-based ensembles as an alternative to stacking. IEEE Trans. Knowl. Data Eng. 26(9), 2120\u20132137 (2014)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"1","key":"45_CR3","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1109\/MIS.2007.15","volume":"22","author":"K Gopalratnam","year":"2007","unstructured":"Gopalratnam, K., Cook, D.J.: Online sequential prediction via incremental parsing: the active LeZi algorithm. IEEE Intell. Syst. 22(1), 52\u201358 (2007)","journal-title":"IEEE Intell. Syst."},{"key":"45_CR4","doi-asserted-by":"crossref","unstructured":"Rashidi, P.: Stream sequence mining for human activity discovery. In: Sukthankar, G., Geib, C., Bui, H., Pynadath, D., Goldman, R.P. (eds.) Plan, Activity, and Intent Recognition. Elsevier (2014)","DOI":"10.1016\/B978-0-12-398532-3.00005-1"},{"key":"45_CR5","unstructured":"Rashidi, T., Cook, D.J.: Adapting to resident preferences in smart environments. In: Proceedings of the AAAI Workshop on Advances in Preference Handling (2008)"},{"key":"45_CR6","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1016\/j.pmcj.2012.07.003","volume":"10","author":"NC Krishnan","year":"2014","unstructured":"Krishnan, N.C., Cook, D.J.: Activity recognition on streaming sensor data. Pervasive Mob. Comput. 10, 138\u2013154 (2014)","journal-title":"Pervasive Mob. Comput."},{"key":"45_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1007\/978-3-642-42042-9_52","volume-title":"Neural Information Processing","author":"MM Rashid","year":"2013","unstructured":"Rashid, M.M., Gondal, I., Kamruzzaman, J.: Regularly frequent patterns mining from sensor data stream. In: Lee, M., Hirose, A., Hou, Z.-G., Kil, R.M. (eds.) ICONIP 2013, Part II. LNCS, vol. 8227, pp. 417\u2013424. Springer, Heidelberg (2013)"},{"key":"45_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1007\/978-3-540-75160-1_4","volume-title":"Location- and Context-Awareness","author":"T Hu\u1ef3nh","year":"2007","unstructured":"Hu\u1ef3nh, T., Blanke, U., Schiele, B.: Scalable recognition of daily activities with wearable sensors. In: Hightower, J., Schiele, B., Strang, T. (eds.) LoCA 2007. LNCS, vol. 4718, pp. 50\u201367. Springer, Heidelberg (2007)"},{"key":"45_CR9","doi-asserted-by":"crossref","unstructured":"van Kasteren, T., Noulas, A., Englebienne, G., Kr\u00f6se, B.: Accurate activity recognition in a home setting. In: Proceedings of the 10th International Conference on Ubiquitous Computing, UbiComp 2008, pp. 1\u20139. ACM, New York (2008)","DOI":"10.1145\/1409635.1409637"},{"key":"45_CR10","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1016\/j.pmcj.2012.11.004","volume":"10","author":"G Okeyo","year":"2014","unstructured":"Okeyo, G., Chen, L., Wang, H., Sterritt, R.: Dynamic sensor data segmentation for real-time knowledge-driven activity recognition. Pervasive Mob. Comput. 10, 155\u2013172 (2014)","journal-title":"Pervasive Mob. Comput."},{"issue":"1","key":"45_CR11","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1016\/j.inffus.2004.04.001","volume":"6","author":"P Melville","year":"2005","unstructured":"Melville, P., Mooney, R.J.: Creating diversity in ensembles using artificial data. Inf. Fusion 6(1), 99\u2013111 (2005)","journal-title":"Inf. Fusion"},{"key":"45_CR12","doi-asserted-by":"crossref","DOI":"10.1201\/b12207","volume-title":"Ensemble Methods: Foundations and Algorithms","author":"Z-H Zhou","year":"2012","unstructured":"Zhou, Z.-H.: Ensemble Methods: Foundations and Algorithms, 1st edn. Chapman & Hall\/CRC, Boca Raton (2012)","edition":"1"},{"issue":"1","key":"45_CR13","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1177\/001316446002000104","volume":"20","author":"J Cohen","year":"1960","unstructured":"Cohen, J.: A coefficient of agreement for nominal scales. Educ. Psychol. Measur. 20(1), 37\u201346 (1960)","journal-title":"Educ. Psychol. Measur."},{"key":"45_CR14","first-page":"1601","volume":"11","author":"A Bifet","year":"2010","unstructured":"Bifet, A., Holmes, G., Kirkby, R., Pfahringer, B.: MOA: massive online analysis. J. Mach. Learning Res. 11, 1601\u20131604 (2010)","journal-title":"J. Mach. Learning Res."}],"container-title":["Lecture Notes in Computer Science","AI 2015: Advances in Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-26350-2_45","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,31]],"date-time":"2019-05-31T16:59:24Z","timestamp":1559321964000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-26350-2_45"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319263496","9783319263502"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-26350-2_45","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]}}}