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2010 Conference Publication Naive Bayes classifier for positive unlabeled learning with uncertaintyHe, Jiazhen, Zhang, Yang, Li, Xue and Wang, Yong (2010). Naive Bayes classifier for positive unlabeled learning with uncertainty. The Tenth SIAM International Conference on Data Mining (SDM10), Columbus, Ohio, United States, 29 April - 1 May 2010. Philadelphia, PA, United States: Society for Industrial and Applied Mathematics (SIAM). doi: 10.1137/1.9781611972801.32 |
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2010 Conference Publication On improving learning outcomes through sharing of learning experiencesWan, Au Thien, Sadiq, Shazia and Li, Xue (2010). On improving learning outcomes through sharing of learning experiences. 10th IEEE International Conference on Advanced Learning Technologies, ICALT 2010, Sousse, Tunisia, 5-7 July 2010. Piscataway, NJ, United States: IEEE Computer Society Conference Publishing Services (CPS). doi: 10.1109/ICALT.2010.134 |
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2010 Conference Publication Classifier ensemble for uncertain data stream classificationPan, SR, Wu, KA, Zhang, Y and Li, X (2010). Classifier ensemble for uncertain data stream classification. 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2010), Hyderabad, India, 21-24 June 2010. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-13657-3_52 |
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2010 Conference Publication A novel Chinese text feature selection method based on probability latent semantic analysisZhong, Jiang, Deng, Xiongbing, Liu, Jie, Li, Xue and Liang, Chuanwei (2010). A novel Chinese text feature selection method based on probability latent semantic analysis. The Seventh International Symposium on Neural Networks (ISNN 2010), Shangai, China, 6-9 June, 2010. Berlin & Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-13318-3_35 |
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2010 Conference Publication Associative classifier for uncertain dataQin, XJ, Zhang, Y, Li, X and Wang, Y (2010). Associative classifier for uncertain data. 11th International Conference on Web-Age Information Management (WAIM 2010), Jiuzhaigou, China, 15-17 July 2010. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-14246-8_66 |
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2009 Conference Publication Ranking-Constrained Keyword Sequence Extraction from Web DocumentsDingyi Chen, Xue Li, Jing Liu and Xia Chen (2009). Ranking-Constrained Keyword Sequence Extraction from Web Documents. 20th Australasian Database Conference (ADC 2009), Wellington, New Zealand, Jan 2009. NSW, Aust: Australian Computer Society. |
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2009 Conference Publication Trust framework for RFID tracking in supply chain managementMahinderjit-Singh, Manmeet and Li, Xue (2009). Trust framework for RFID tracking in supply chain management. 3rd International Workshop on RFID Technology - Concepts, Applications, Challenges, Milan, Italy, 6-7 May 2009. Portugal: INSTICC Press. |
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2009 Conference Publication Dimension-specific search for multimedia retrievalHuanh, Zi, Shen, Heng Tao, Song, Dawei, Li, Xue and Rueger, Stefan (2009). Dimension-specific search for multimedia retrieval. 14th International Conference, DASFAA 2009, Brisbane, Australia, 21-23 April 2009. Berlin, Germany; New York, U.S.A.: Springer. doi: 10.1007/978-3-642-00887-0 |
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2009 Conference Publication Computational model for trust management in RFID supply chainsMahinderjit-Singh, Manmeet and Li, Xue (2009). Computational model for trust management in RFID supply chains. The 2009 IEEE International Symposium on Trust, Security and Privacy for Pervasive Applications, Macau, China, 12-15 October 2009. Piscataway NJ, USA: IEEE. doi: 10.1109/MOBHOC.2009.5336926 |
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2009 Conference Publication Learning from experience: Can e-learning technology be used as a vehicle?Au, Thien Wan, Sadiq, Shazia and Li, Xue (2009). Learning from experience: Can e-learning technology be used as a vehicle?. ICEL 2009: 4th International Conference on e-Learning, Toronto, Canada, 16-17 June 2009. Reading, U.K.: Academic Publishing. |
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2009 Conference Publication Learning from experience: can e-learning technology be used as a vehicle?Au, Thien Wan, Sadiq, Shazia and Li, Xue (2009). Learning from experience: can e-learning technology be used as a vehicle?. 4th International Conference on e-Learning, ICEL 2009, Toronto, Canada, 16-17 July 2009. |
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2009 Conference Publication OcVFDT: One-class very fast decision tree for one-class classification of data streamsLi, Chen, Zhang, Yang and Li, Xue (2009). OcVFDT: One-class very fast decision tree for one-class classification of data streams. 3rd International Workshop on Knowledge Discovery from Sensor Data, SensorKDD'09 in Conjunction with the 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD-09, Paris, France, 28 June 2009. New York, NY United States: ACM Press. doi: 10.1145/1601966.1601981 |
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2008 Conference Publication Data reduction approach for sensitive associative classification rule hidingNatwichai, J., Sun, X. and Li, X. (2008). Data reduction approach for sensitive associative classification rule hiding. Database Technologies 2008, Wollongong, Australia, 22-25 Jan 2008. Sydney: Australian Computer Soc Inc. |
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2008 Conference Publication Data Quality in Privacy Preservation for Associative ClassificationHarnsamut, N., Natwichai, J., Sun, X. and Li, X. (2008). Data Quality in Privacy Preservation for Associative Classification. Fourth International Conference on Advanced Data Mining and Applications (ADAMA 2008), Chengu, China, 8-10 Oct 2008. Berlin Heidelberg, Germany: Springer Verlag. doi: 10.1007/978-3-540-88192-6_12 |
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2008 Conference Publication A heuristic data reduction approach for associative classification rule hidingNatwichai, J., Sun, X. and Xue, Li (2008). A heuristic data reduction approach for associative classification rule hiding. PRICAI 2008: Tenth Pacific Rim International Conference on Artificial Intelligence, Hanoi, Vietnam, 15-19 December 2008. Berlin, Germany: Springer Verlag. doi: 10.1007/978-3-540-89197-0_16 |
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2008 Conference Publication An Intrinsic Subsequence Decomposition Algorithm for Network Intrusion DetectionZhu, Y., Ye, M., Liu, N., Zhao, X. and Li, X. (2008). An Intrinsic Subsequence Decomposition Algorithm for Network Intrusion Detection. Fourth International Conference on Natural Computation, 2008, Jinan, PR China, 18-20 Oct 2008. Los Alamatis, California: IEEE Computer Society. doi: 10.1109/ICNC.2008.101 |
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2008 Conference Publication Graph mining based on a data partitioning approachNguyen, Son N., Orlowska, Maria E. and Li, Xue (2008). Graph mining based on a data partitioning approach. Australasian Database Conference (ADC2008), Wollongong, Australia, 22-25 January 2008. Sydney, Australia: Australian Computer Society. |
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2008 Conference Publication One-class classification of text streams with concept driftZhang, Y., Li, X. and Orlowska, M. E. (2008). One-class classification of text streams with concept drift. IEEE International Conference on Data Mining Workshops 2008 (ICDMW '08), Pisa, Italy, 15-19 December 2008. Piscataway, NJ, U.S.A.: IEEE. doi: 10.1109/ICDMW.2008.54 |
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2007 Conference Publication An effective approach to predicting electricity market price spikesWang, Qing, Dong, Zhao Yang, Li, X.ue, Zhao, Junhua and Wong, Kit Po (2007). An effective approach to predicting electricity market price spikes. 2007 IEEE Power Engineering Society General Meeting, Tampa, Florida, USA, 24-28 June 2007. Piscataway, NJ, United States: IEEE. doi: 10.1109/PES.2007.385852 |
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2007 Conference Publication Supervised dimensionality reduction on streaming dataYe, M., Li, X. and Orlowska, M. (2007). Supervised dimensionality reduction on streaming data. Fourth International Conference on Fuzzy Systems and Knowledge Discovery 2007 (FSKD 2007), Haikou, China, 24-27 August 2007. Los Alamitos, CA, U.S.A.: IEEE Computer Society. doi: 10.1109/FSKD.2007.548 |
