Search Results - "2014 IEEE International Conference on Data Mining"

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  1. 1
    Dynamic Time Warping Averaging of Time Series Allows Faster and More Accurate Classification

    Dynamic Time Warping Averaging of Time Series Allows Faster and More Accurate Classification by Petitjean, Francois, Forestier, Germain, Webb, Geoffrey I., Nicholson, Ann E., Yanping Chen, Keogh, Eamonn

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  2. 2
    News Credibility Evaluation on Microblog with a Hierarchical Propagation Model

    News Credibility Evaluation on Microblog with a Hierarchical Propagation Model by Zhiwei Jin, Juan Cao, Yu-Gang Jiang, Yongdong Zhang

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  3. 3
    RS-Forest: A Rapid Density Estimator for Streaming Anomaly Detection

    RS-Forest: A Rapid Density Estimator for Streaming Anomaly Detection by Ke Wu, Kun Zhang, Wei Fan, Edwards, Andrea, Yu, Philip S.

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  4. 4
    Efficient Anomaly Detection by Isolation Using Nearest Neighbour Ensemble

    Efficient Anomaly Detection by Isolation Using Nearest Neighbour Ensemble by Bandaragoda, Tharindu R., Kai Ming Ting, Albrecht, David, Liu, Fei Tony, Wells, Jonathan R.

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  5. 5
    Low-Rank Common Subspace for Multi-view Learning

    Low-Rank Common Subspace for Multi-view Learning by Zhengming Ding, Yun Fu

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  6. 6
    Identifying Team Style in Soccer Using Formations Learned from Spatiotemporal Tracking Data

    Identifying Team Style in Soccer Using Formations Learned from Spatiotemporal Tracking Data by Bialkowski, Alina, Lucey, Patrick, Carr, Peter, Yisong Yue, Sridharan, Sridha, Matthews, Iain

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  7. 7
    Robust Spectral Learning for Unsupervised Feature Selection

    Robust Spectral Learning for Unsupervised Feature Selection by Lei Shi, Liang Du, Yi-Dong Shen

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  8. 8
    Spotting Fake Reviews via Collective Positive-Unlabeled Learning

    Spotting Fake Reviews via Collective Positive-Unlabeled Learning by Huayi Li, Zhiyuan Chen, Bing Liu, Xiaokai Wei, Jidong Shao

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  9. 9
    Tensor-Based Multi-view Feature Selection with Applications to Brain Diseases

    Tensor-Based Multi-view Feature Selection with Applications to Brain Diseases by Bokai Cao, Lifang He, Xiangnan Kong, Yu, Philip S., Zhifeng Hao, Ragin, Ann B.

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  10. 10
    Hete-CF: Social-Based Collaborative Filtering Recommendation Using Heterogeneous Relations

    Hete-CF: Social-Based Collaborative Filtering Recommendation Using Heterogeneous Relations by Chen Luo, Wei Pang, Zhe Wang, Chenghua Lin

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  11. 11
    Large-Scale Analysis of Soccer Matches Using Spatiotemporal Tracking Data

    Large-Scale Analysis of Soccer Matches Using Spatiotemporal Tracking Data by Bialkowski, Alina, Lucey, Patrick, Carr, Peter, Yisong Yue, Sridharan, Sridha, Matthews, Iain

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  12. 12
    Emotion Recognition from Text Based on Automatically Generated Rules

    Emotion Recognition from Text Based on Automatically Generated Rules by Shaheen, Shadi, El-Hajj, Wassim, Hajj, Hazem, Elbassuoni, Shady

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  13. 13
    Learning Low-Rank Label Correlations for Multi-label Classification with Missing Labels

    Learning Low-Rank Label Correlations for Multi-label Classification with Missing Labels by Linli Xu, Zhen Wang, Zefan Shen, Yubo Wang, Enhong Chen

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  14. 14
    The Eyes of the Beholder: Gender Prediction Using Images Posted in Online Social Networks

    The Eyes of the Beholder: Gender Prediction Using Images Posted in Online Social Networks by Quanzeng You, Bhatia, Sumit, Tong Sun, Jiebo Luo

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  15. 15
    Road Traffic Congestion Monitoring in Social Media with Hinge-Loss Markov Random Fields

    Road Traffic Congestion Monitoring in Social Media with Hinge-Loss Markov Random Fields by Chen, Po-Ta, Chen, Feng, Qian, Zhen

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  16. 16
    A Joint Model for Topic-Sentiment Evolution over Time

    A Joint Model for Topic-Sentiment Evolution over Time by Dermouche, Mohamed, Velcin, Julien, Khouas, Leila, Loudcher, Sabine

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  17. 17
    Social Spammer Detection with Sentiment Information

    Social Spammer Detection with Sentiment Information by Xia Hu, Jiliang Tang, Huiji Gao, Huan Liu

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  18. 18
    Learning Fine-Grained Spatial Models for Dynamic Sports Play Prediction

    Learning Fine-Grained Spatial Models for Dynamic Sports Play Prediction by Yisong Yue, Lucey, Patrick, Carr, Peter, Bialkowski, Alina, Matthews, Iain

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  19. 19
    Big Data Stream Learning with SAMOA

    Big Data Stream Learning with SAMOA by Bifet, Albert, De Francisci Morales, Gianmarco

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  20. 20
    Towards Scalable and Accurate Online Feature Selection for Big Data

    Towards Scalable and Accurate Online Feature Selection for Big Data by Kui Yu, Xindong Wu, Wei Ding, Jian Pei

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