Computer Science ›› 2017, Vol. 44 ›› Issue (7): 167-174.doi: 10.11896/j.issn.1002-137X.2017.07.030
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JIANG Jing-jing, WANG Zhi-hai and YUAN Ji-dong
[1] AGRAWAL R,SWAMI A.Database mining:A performanceperspective [J].IEEE Transactions on Knowledge and Data Engineering,1993,5(6):914-925. [2] BARALIS E,CAGLIERO L,GARZA P.Enbay:A novel pattern-based Bayesian classifier [J].IEEE Transaction on Know-ledge and Data Engineering,2013,25(12):2780-2795. [3] BARALIS E,CAGLIERO L.RIB:A robust itemset-based Ba-yesian approach to classification [J].Knowledge-Based Systems,2014,71:366-375. [4] BIFET A,HOLMES G,KIRKBY R,et al.MOA:Massive online analysis[J].Journal of Machine Learning Research,2010, 99:1601-1604. [5] BIFET A,READ J,PFAHRINGER B,et al.Efficient datastream classification via probabilistic adaptive windows[C]∥Proceedings of the 28th Annual ACM Symposium on Applied Computing.New York:ACM,2013:801-806. [6] DOMINGOS P,PAZZANI M.On the optimality of the simple Bayesian classifier under zero-one Loss [J].Machine Learning,1997,29(2):103-130. [7] FAN H J,RAMAMOHANARAO K.A Bayesian approach to use emerging patterns for classification[C]∥Proceedings of the 14th Australasian Database Conference.Darlinghurst,Australia:Australian Computer Society,2003:39-48. [8] FAYYAD U M,IRANI K B.Multi-interval discretization ofcontinuous-valued attributes for classification learning[C]∥Proceedings of the 13th Int’l Joint Conf.Artificial Intelligence.1993:1022-1027. [9] FRIEDMAN N,GOLDSZMIDT M.Building classifiers using Bay-esian networks[C]∥Proceedings of The Thirteenth NationalConference on Artificial Intelligence.1996:1277-1284. [10] GAMA J,SEBASTIAO R,RODRIGUES P P.Issues in evaluation of stream learning algorithms[C]∥Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.New York:ACM,2009:329-338. [11] GAMA J,KOSINA P.Learning decision rules from data streams[C]∥Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence.2010:1255-1260. [12] HULTEN G,SPENCER L,DOMINGOS P.Mining time-chan-ging data streams[C]∥Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.New York:ACM,2001:97-106. [13] IKONOMOVSKA E,GAMA J,DEROSKI S.Learning model trees from evolving data streams[J].Data Mining and Know-ledge Discovery,2011,23(1):128-168. [14] KEOGH E J,PAZZANI M J.Learning augmented Bayesianclassifiers:A comparison of distribution-based and classification-based approaches[C]∥Proceedings of the 7th Int’l Workshop on Artificial Intelligence and Statistics.San Francisco:Morgan Kaufmann Publishers,1999:225-230. [15] LEWIS D D.Naive(Bayes) at forty:The independence assumption in information retrieval[J].Machine Learning:ECML-98,1998,1398:4-15. [16] MCCALLUM A,NIGAM K.A comparison of event models for Naive Bayes text classification[C]∥Proceedings of AAAI-98 Workshop on ‘Learning for Text Categorization’,1998. [17] LI H F,SHAN M K,LEE S Y.DSM-FI:An efficient algorithm for mining frequent itemsets in data streams[J].Knowledge and Information Systems,2008,17(1):79-97. [18] MERETAKIS D,WIJTHRICH B.Extending Naive Bayes classifiers using long itemsets[C]∥Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining.New York:ACM,2014:165-174. [19] PFAHRINGER B,HOLMES G,KIRKBY R.New options forhoeffding trees[C]∥Procee-dings of AI 2007:Advances in Artificial Intelligence.Heidelberg,Berlin:Springer-Verlag,2007:90-99. [20] STREET W N,KIM Y S.A streaming ensemble algorithm(SEA) for large-scale classification[C]∥Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.ACM,New York,2001:377-382. [21] SCHLIMMER J C,GRANGER R H.Incremental learning from noisy data[J].Machine Learning,1986,1(3):317-354. [22] ZHANG P,GAO B J,ZHU X Q,et al.Enabling fast lazy lear-ning for data streams[C]∥Proceedings of 2011 IEEE 11th International Conference on Data Mining.New Jersey,USA:IEEE,2011:933-941. [23] ZLIOBAITE I,BIFET A,PFAHRINGER B,et al.Active lear-ning with evolving streaming data[J].Lecture Note in Computer Science,2011,6913:597-612. |
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