Social Stream Classification with Emerging New Labels
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Zhi-Hua Zhou | Yue Liu | Ee-Peng Lim | Feida Zhu | Xin Mu | Zhi-Hua Zhou | Feida Zhu | Ee-Peng Lim | Yue Liu | Xin Mu
[1] Zhi-Hua Zhou,et al. Isolation Forest , 2008, 2008 Eighth IEEE International Conference on Data Mining.
[2] Feng Liu,et al. MLRF: Multi-label Classification Through Random Forest with Label-Set Partition , 2015, ICIC.
[3] Zhi-Hua Zhou,et al. Learnware: on the future of machine learning , 2016, Frontiers of Computer Science.
[4] Zhi-Hua Zhou,et al. Multi-Label Learning with Emerging New Labels , 2018, IEEE Transactions on Knowledge and Data Engineering.
[5] Kai Ming Ting,et al. Maximizing Tree Diversity by Building Complete-Random Decision Trees , 2005, PAKDD.
[6] Philip S. Yu,et al. Is random model better? On its accuracy and efficiency , 2003, Third IEEE International Conference on Data Mining.
[7] Latifur Khan,et al. SAND: Semi-Supervised Adaptive Novel Class Detection and Classification over Data Stream , 2016, AAAI.
[8] Zhi-Hua Zhou,et al. Hybrid decision tree , 2002, Knowl. Based Syst..
[9] David B. Dunson,et al. Probabilistic topic models , 2012, Commun. ACM.
[10] Jesús S. Aguilar-Ruiz,et al. Knowledge discovery from data streams , 2009, Intell. Data Anal..
[11] Zhi-Hua Zhou,et al. Streaming Classification with Emerging New Class by Class Matrix Sketching , 2017, AAAI.
[12] Alok N. Choudhary,et al. Twitter Trending Topic Classification , 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.
[13] Charu C. Aggarwal,et al. Stream Classification with Recurring and Novel Class Detection Using Class-Based Ensemble , 2012, 2012 IEEE 12th International Conference on Data Mining.
[14] Mohamed Medhat Gaber,et al. Knowledge discovery from data streams , 2009, IDA 2009.
[15] Zhi-Hua Zhou,et al. Ensemble Methods: Foundations and Algorithms , 2012 .
[16] Arkaitz Zubiaga,et al. Real‐time classification of Twitter trends , 2014, J. Assoc. Inf. Sci. Technol..
[17] Bhavani M. Thuraisingham,et al. Classification and Novel Class Detection in Concept-Drifting Data Streams under Time Constraints , 2011, IEEE Transactions on Knowledge and Data Engineering.
[18] Zhi-Hua Zhou,et al. ML-KNN: A lazy learning approach to multi-label learning , 2007, Pattern Recognit..
[19] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.
[20] Zhi-Hua Zhou,et al. Multi-instance multi-label new label learning , 2018 .
[21] Charu C. Aggarwal,et al. Towards Classification of Social Streams , 2015, SDM.
[22] Zhi-Hua Zhou,et al. Classification Under Streaming Emerging New Classes: A Solution Using Completely-Random Trees , 2016, IEEE Transactions on Knowledge and Data Engineering.
[23] Zhi-Hua Zhou,et al. Multi-instance multi-label learning , 2008, Artif. Intell..
[24] Philip S. Yu,et al. An ensemble-based approach to fast classification of multi-label data streams , 2011, 7th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom).
[25] Charu C. Aggarwal,et al. Mining text and social streams: a review , 2014, SKDD.
[26] Yang Yu,et al. Learning with Augmented Class by Exploiting Unlabeled Data , 2014, AAAI.
[27] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.