{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,11]],"date-time":"2025-12-11T20:37:25Z","timestamp":1765485445290},"reference-count":37,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2010,6,29]],"date-time":"2010-06-29T00:00:00Z","timestamp":1277769600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Evolving Systems"],"published-print":{"date-parts":[[2010,8]]},"DOI":"10.1007\/s12530-010-9001-2","type":"journal-article","created":{"date-parts":[[2010,6,28]],"date-time":"2010-06-28T04:54:47Z","timestamp":1277700887000},"page":"3-15","source":"Crossref","is-referenced-by-count":29,"title":["A semi-supervised dynamic version of Fuzzy K-Nearest Neighbours to monitor evolving systems"],"prefix":"10.1007","volume":"1","author":[{"given":"Laurent","family":"Hartert","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Moamar","family":"Sayed Mouchaweh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Patrice","family":"Billaudel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2010,6,29]]},"reference":[{"key":"9001_CR1","unstructured":"Amadou-Boubacar H, Lecoeuche S, Maouche S (2005) Self-Adaptive Kernel Machine: Online Clustering in RKHS. IEEE IJCNN05 Proceedings, Montreal, Canada"},{"issue":"1\u20132","key":"9001_CR2","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.ins.2003.03.006","volume":"161","author":"PP Angelov","year":"2004","unstructured":"Angelov PP (2004) A fuzzy controller with evolving structure. Inf Sci 161(1\u20132):21\u201335","journal-title":"Inf Sci"},{"key":"9001_CR3","doi-asserted-by":"crossref","unstructured":"Angelov PP, Filev DP, Kasabov NK (2010) Evolving intelligent systems: methodology and applications. IEEE Press Series in computational intelligence. Wiley\/IEEE Press, New York. ISBN: 978-0-470-28719-4","DOI":"10.1002\/9780470569962"},{"key":"9001_CR4","unstructured":"Angstenberger L (2000) Dynamic Fuzzy Pattern Recognition. Dissertation, Fakult\u00e4t f\u00fcr Wirtschaftswissenschaften der Rheinisch-Westf\u00e4lischen Technischen Hochschule, Aachen, Germany"},{"key":"9001_CR5","doi-asserted-by":"crossref","unstructured":"Bezdek JC (1981) Pattern Recognition with fuzzy objective function algorithms. Plenum Press, NY","DOI":"10.1007\/978-1-4757-0450-1"},{"key":"9001_CR6","doi-asserted-by":"crossref","unstructured":"Bifet A, Gavald\u00e0 R (2009) Adaptive learning from evolving data streams. In: Proceedings of the 8th International Symposium on intelligent data analysis: advances in intelligent data analysis, vol VIII, Lyon, France","DOI":"10.1007\/978-3-642-03915-7_22"},{"key":"9001_CR7","unstructured":"Cauwenberghs G, Poggio T (2001) Incremental and decremental support vector machine learning. Advances in neural information processing systems, vol 13. MIT Press, Cambridge"},{"key":"9001_CR9","unstructured":"Cohen L, Avrahami G, Last M (2004) Incremental info-fuzzy algorithm for real time data mining of non-stationary data streams. TDM Workshop, Brighton, UK"},{"key":"9001_CR10","unstructured":"Cozman F, Cohen I, Cirelo M (2003) Semi-supervised learning of mixture models. In: 20th International Conference on machine learning (ICML), Washington, DC, USA"},{"key":"9001_CR11","volume-title":"Pattern classification","author":"RO Duda","year":"2001","unstructured":"Duda RO, Hart PE, Stork DG (2001) Pattern classification, 2nd edn. Wiley, London","edition":"2"},{"key":"9001_CR12","doi-asserted-by":"crossref","first-page":"1223","DOI":"10.1016\/0167-8655(96)00080-3","volume":"17","author":"H Frigui","year":"1996","unstructured":"Frigui H, Krishnapuram R (1996) A robust algorithm for automatic extraction of an unknown number of clusters from noisy data. Pattern Recognit Lett 17:1223\u20131232","journal-title":"Pattern Recognit Lett"},{"key":"9001_CR13","doi-asserted-by":"crossref","first-page":"1109","DOI":"10.1016\/S0031-3203(96)00140-9","volume":"307","author":"H Frigui","year":"1997","unstructured":"Frigui H, Krishnapuram R (1997) Clustering by competitive agglomeration. Pattern Recognit 307:1109\u20131119","journal-title":"Pattern Recognit"},{"issue":"3","key":"9001_CR14","doi-asserted-by":"crossref","first-page":"769","DOI":"10.1109\/72.846747","volume":"11","author":"B Gabrys","year":"2000","unstructured":"Gabrys B, Bargiela A (2000) General fuzzy min-max neural network for clustering and classification. IEEE Trans Neural Netw 11(3):769\u2013783","journal-title":"IEEE Trans Neural Netw"},{"key":"9001_CR15","doi-asserted-by":"crossref","unstructured":"Gama J, Castillo G (2006) Learning with local drift detection. In: Advanced data mining and applications (ADMA), pp 42\u201355","DOI":"10.1007\/11811305_4"},{"key":"9001_CR16","doi-asserted-by":"crossref","unstructured":"Geetha S, Ishwarya N, Kamaraj N (2010) Evolving decision tree rule based system for audio stego anomalies detection based on Hausdorff distance statistics. Inf Sci","DOI":"10.1016\/j.ins.2010.02.024"},{"key":"9001_CR17","doi-asserted-by":"crossref","unstructured":"Gibb WJ, Auslander DM, Griffin JC (1994) Adaptive classification of myocardial electrogram waveforms. IEEE Trans Biomed Eng (41):804\u2013808","DOI":"10.1109\/10.310096"},{"issue":"6","key":"9001_CR18","doi-asserted-by":"crossref","first-page":"469","DOI":"10.1016\/j.patrec.2009.11.011","volume":"31","author":"R Gil-Garc\u00eda","year":"2010","unstructured":"Gil-Garc\u00eda R, Pons-Porrata A (2010) Dynamic hierarchical algorithms for document clustering. Pattern Recognit Lett 31(6):469\u2013477","journal-title":"Pattern Recognit Lett"},{"issue":"2","key":"9001_CR19","doi-asserted-by":"crossref","first-page":"521","DOI":"10.1162\/089976699300016755","volume":"11","author":"ID Guedalia","year":"1999","unstructured":"Guedalia ID, London M, Werman M (1999) An on-line agglomerative clustering method for non-stationary data. Neural Comput 11(2):521\u2013540","journal-title":"Neural Comput"},{"issue":"9","key":"9001_CR20","doi-asserted-by":"crossref","first-page":"2105","DOI":"10.1016\/j.ins.2007.12.015","volume":"178","author":"S Ilarri","year":"2008","unstructured":"Ilarri S, Mena E, Illarramendi A (2008) Using cooperative mobile agents to monitor distributed and dynamic environments. Inf Sci 178(9):2105\u20132127","journal-title":"Inf Sci"},{"issue":"1","key":"9001_CR21","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1109\/34.824819","volume":"22","author":"AK Jain","year":"2000","unstructured":"Jain AK, Duin RPW, Mao J (2000) Statistical pattern recognition: a review. IEEE Trans Pattern Anal Mach Intell 22(1):4\u201337","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"4","key":"9001_CR22","doi-asserted-by":"crossref","first-page":"580","DOI":"10.1109\/TSMC.1985.6313426","volume":"SMC-15","author":"JM Keller","year":"1985","unstructured":"Keller JM, Gray MR, Givens JA (1985) A fuzzy k-nn neighbor algorithm. IEEE Trans Syst Man Cybern SMC-15(4):580\u2013585","journal-title":"IEEE Trans Syst Man Cybern"},{"key":"9001_CR23","doi-asserted-by":"crossref","unstructured":"Kybic J (2006) Incremental updating of nearest neighbor-based high-dimensional entropy estimation. ICASSP 2006","DOI":"10.1109\/ICASSP.2006.1660776"},{"key":"9001_CR24","doi-asserted-by":"crossref","unstructured":"Law YN, Zaniolo C (2005) An Adaptive Nearest Neighbor Classification Algorithm for data streams. In: 9th European Conference on principles and practice of knowledge discovery in databases (PKDD 2005), Porto, Portugal","DOI":"10.1007\/11564126_15"},{"key":"9001_CR25","unstructured":"Lughofer E, Angelov PP (2009) Detecting and reacting on drifts and shifts in on-line data streams with evolving fuzzy systems. IFSA-EUSFLAT, Lisbon, Portugal, pp 931\u2013937"},{"key":"9001_CR27","unstructured":"Min R (2005) A non-linear dimensionality reduction method for improving nearest neighbour classification. Thesis, DCS, University of Toronto"},{"key":"9001_CR28","doi-asserted-by":"crossref","unstructured":"Nakhaeizadeh G, Taylor C, Kunisch G (1997) Dynamic supervised learning. Some basic issues and application aspects. Classification and Knowledge Organization. Springer, Berlin, pp 123\u2013135","DOI":"10.1007\/978-3-642-59051-1_13"},{"key":"9001_CR29","doi-asserted-by":"crossref","unstructured":"Nezhad MSF, Niaki STA (2010) A new monitoring design for uni-variate statistical quality control charts. Inf Sci 180(6) (special issue on modelling uncertainty, pp 1051\u20131059)","DOI":"10.1016\/j.ins.2009.11.033"},{"key":"9001_CR30","doi-asserted-by":"crossref","unstructured":"Roncaglia A, Elmi I, Dori L et al (2004) Adaptive K-NN for the detection of air pollutants with a sensor array. IEEE Sens J 4 (2)","DOI":"10.1109\/JSEN.2004.823653"},{"key":"9001_CR31","doi-asserted-by":"crossref","unstructured":"Sahel Z, Bouchachia A, Gabrys B, Rogers P (2007) Adaptive mechanisms for classification problems with drifting data source. In: International conference on knowledge based and intelligent information & engineering systems (KES 2007)","DOI":"10.1007\/978-3-540-74827-4_53"},{"issue":"1","key":"9001_CR32","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/S0165-0114(02)00060-X","volume":"132","author":"M Sayed-Mouchaweh","year":"2002","unstructured":"Sayed-Mouchaweh M, Devillez A, Lecolier VG, Billaudel P (2002) Incremental Learning in fuzzy pattern matching. Fuzzy Sets Syst 132(1):49\u201362","journal-title":"Fuzzy Sets Syst"},{"key":"9001_CR33","volume-title":"A tutorial on principal components analysis","author":"LI Smith","year":"2002","unstructured":"Smith LI (2002) A tutorial on principal components analysis. Cornell University, USA"},{"key":"9001_CR34","unstructured":"Song Y, Huang J, Zhou D et al (2007) IKNN: informative K-Nearest neighbor pattern classification, PKDD 2007"},{"key":"9001_CR35","volume-title":"Decision estimation and classification: an introduction to pattern recognition and related topics","author":"CW Therrien","year":"1989","unstructured":"Therrien CW (1989) Decision estimation and classification: an introduction to pattern recognition and related topics. Wiley, New York"},{"key":"9001_CR36","doi-asserted-by":"crossref","unstructured":"Vachkov G (2009) Online classification of machine operation modes based on information compression and fuzzy similarity analysis. IFSA-EUSFLAT 09, Lisbon, Portugal","DOI":"10.1109\/FUZZY.2008.4630693"},{"issue":"10","key":"9001_CR37","doi-asserted-by":"crossref","first-page":"1942","DOI":"10.1016\/j.ins.2010.01.011","volume":"180","author":"G Yang","year":"2010","unstructured":"Yang G, Lin Y, Bhattacharya P (2010) A driver fatigue recognition model based on information fusion and dynamic Bayesian network. Inf Sci 180(10):1942\u20131954","journal-title":"Inf Sci"},{"key":"9001_CR38","doi-asserted-by":"crossref","unstructured":"Zhang B, Srihari SN (2002) A fast algorithm for finding k-Nearest Neighbors with non-metric dissimilarity. In: 8th International workshop on frontiers in handwriting recognition (IWFHR\u201902)","DOI":"10.1109\/IWFHR.2002.1030877"},{"key":"9001_CR39","unstructured":"Zhou S (2001) Incremental document classification in a knowledge management environment. Thesis, University of Toronto"}],"container-title":["Evolving Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12530-010-9001-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s12530-010-9001-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12530-010-9001-2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,2]],"date-time":"2019-06-02T08:15:51Z","timestamp":1559463351000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s12530-010-9001-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,6,29]]},"references-count":37,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2010,8]]}},"alternative-id":["9001"],"URL":"https:\/\/doi.org\/10.1007\/s12530-010-9001-2","relation":{},"ISSN":["1868-6478","1868-6486"],"issn-type":[{"value":"1868-6478","type":"print"},{"value":"1868-6486","type":"electronic"}],"subject":[],"published":{"date-parts":[[2010,6,29]]}}}