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Comparative study between incremental and ensemble learning on data streams: Case study.

W. Zang, P. Zhang, C. Zhou, and L. Guo. J. Big Data, (2014)

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Detecting Sybil Nodes in Anonymous Communication Systems.W. Zang, P. Zhang, X. Wang, J. Shi, and L. Guo. ITQM, volume 17 of Procedia Computer Science, page 861-869. Elsevier, (2013)Locating multiple sources in social networks under the SIR model: A divide-and-conquer approach.W. Zang, P. Zhang, C. Zhou, and L. Guo. J. Comput. Science, (2015)On the Upper Bounds of Spread for Greedy Algorithms in Social Network Influence Maximization.C. Zhou, P. Zhang, W. Zang, and L. Guo. IEEE Trans. Knowl. Data Eng., 27 (10): 2770-2783 (2015)Efficient Sensor Placement Optimization for Early Detection of Contagious Outbreaks in Mobile Social Networks.C. Zhou, R. Shi, W. Zang, and L. Guo. IEEE MS, page 261-268. IEEE, (2015)A Neighbor-aware Approach for Image-text Matching.C. Liu, Z. Mao, W. Zang, and B. Wang. ICASSP, page 3970-3974. IEEE, (2019)A Fast Climbing Approach for Diffusion Source Inference in Large Social Networks.W. Zang, X. Wang, Q. Yao, and L. Guo. ICDS, volume 9208 of Lecture Notes in Computer Science, page 50-57. Springer, (2015)Topic Block: Mining User Inner Interests for Text and Link Analysis in Social Networks.W. Zang, C. Zhou, X. Wang, and L. Guo. PDCAT, page 159-165. IEEE Computer Society, (2014)Topic-aware Source Locating in Social Networks.W. Zang, C. Zhou, L. Guo, and P. Zhang. WWW (Companion Volume), page 141-142. ACM, (2015)Predictive Data Stream Filtering.J. Li, W. Zang, J. Tan, and P. Zhang. Web Intelligence/IAT Workshops, page 237-240. IEEE Computer Society, (2011)978-0-7695-4513-4.Comparative study between incremental and ensemble learning on data streams: Case study.W. Zang, P. Zhang, C. Zhou, and L. Guo. J. Big Data, (2014)

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Comparative study between incremental and ensemble learning on data streams: Case study.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Comparative study between incremental and ensemble learning on data streams: Case study.

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Comparative study between incremental and ensemble learning on data streams: Case study.