Search Results - "2016 IEEE 16th International Conference on Data Mining (ICDM)"

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  1. 81
    Learning from Your Network of Friends: A Trajectory Representation Learning Model Based on Online Social Ties

    Learning from Your Network of Friends: A Trajectory Representation Learning Model Based on Online Social Ties by Alharbi, Basma, Xiangliang Zhang

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  2. 82
    Scalable Discrete Supervised Hash Learning with Asymmetric Matrix Factorization

    Scalable Discrete Supervised Hash Learning with Asymmetric Matrix Factorization by Shifeng Zhang, Jianmin Li, Jinma Guo, Bo Zhang

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  3. 83
    Time-Aware User Identification with Topic Models

    Time-Aware User Identification with Topic Models by Lesaege, Clement, Schnitzler, Francois, Lambert, Anne, Vigouroux, Jean-Ronan

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  4. 84
    Mutual Reinforcement of Academic Performance Prediction and Library Book Recommendation

    Mutual Reinforcement of Academic Performance Prediction and Library Book Recommendation by Defu Lian, Yuyang Ye, Wenya Zhu, Qi Liu, Xing Xie, Hui Xiong

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  5. 85
    Gaussian Component Based Index for GMMs

    Gaussian Component Based Index for GMMs by Linfei Zhou, Wackersreuther, Bianca, Fiedler, Frank, Plant, Claudia, Bohm, Christian

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  6. 86
    Event Series Prediction via Non-Homogeneous Poisson Process Modelling

    Event Series Prediction via Non-Homogeneous Poisson Process Modelling by Goulding, James, Preston, Simon, Smith, Gavin

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  7. 87
    Recommending Packages to Groups

    Recommending Packages to Groups by Shuyao Qi, Mamoulis, Nikos, Pitoura, Evaggelia, Tsaparas, Panayiotis

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  8. 88
    Canonical Consistent Weighted Sampling for Real-Value Weighted Min-Hash

    Canonical Consistent Weighted Sampling for Real-Value Weighted Min-Hash by Wei Wu, Bin Li, Ling Chen, Chengqi Zhang

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  9. 89
    Concept Based Short Text Stream Classification with Topic Drifting Detection

    Concept Based Short Text Stream Classification with Topic Drifting Detection by Peipei Li, Lu He, Xuegang Hu, Yuhong Zhang, Lei Li, Xindong Wu

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  10. 90
    Spectrum-Revealing Cholesky Factorization for Kernel Methods

    Spectrum-Revealing Cholesky Factorization for Kernel Methods by Jianwei Xiao, Ming Gu

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  11. 91
    A Novel Uncertainty Sampling Algorithm for Cost-Sensitive Multiclass Active Learning

    A Novel Uncertainty Sampling Algorithm for Cost-Sensitive Multiclass Active Learning by Kuan-Hao Huang, Hsuan-Tien Lin

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  12. 92
    Dynamic Contextual Multi Arm Bandits in Display Advertisement

    Dynamic Contextual Multi Arm Bandits in Display Advertisement by Hongxia Yang, Quan Lu

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  13. 93
    Direct Mining of Subjectively Interesting Relational Patterns

    Direct Mining of Subjectively Interesting Relational Patterns by Guns, Tias, Aknin, Achille, Lijffijt, Jefrey, De Bie, Tijl

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  14. 94
    The Development of a Smart Taxicab Scheduling System: A Multi-source Data Fusion Perspective

    The Development of a Smart Taxicab Scheduling System: A Multi-source Data Fusion Perspective by Yang Wang, Binxin Liang, Wei Zheng, Liusheng Huang, Hengchang Liu

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  15. 95
    Compressing Random Forests

    Compressing Random Forests by Painsky, Amichai, Rosset, Saharon

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  16. 96
    Transfer Learning for Survival Analysis via Efficient L2,1-Norm Regularized Cox Regression

    Transfer Learning for Survival Analysis via Efficient L2,1-Norm Regularized Cox Regression by Yan Li, Lu Wang, Jie Wang, Jieping Ye, Reddy, Chandan K.

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  17. 97
    Sparse Factorization Machines for Click-through Rate Prediction

    Sparse Factorization Machines for Click-through Rate Prediction by Zhen Pan, Enhong Chen, Qi Liu, Tong Xu, Haiping Ma, Hongjie Lin

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  18. 98
    Semi-Supervised Multi-label Dimensionality Reduction

    Semi-Supervised Multi-label Dimensionality Reduction by Baolin Guo, Chenping Hou, Feiping Nie, Dongyun Yi

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  19. 99
    Optimizing the Multiclass F-Measure via Biconcave Programming

    Optimizing the Multiclass F-Measure via Biconcave Programming by Weiwei Pan, Narasimhan, Harikrishna, Kar, Purushottam, Protopapas, Pavlos, Ramaswamy, Harish G.

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  20. 100
    Hyperbolae are No Hyperbole: Modelling Communities That are Not Cliques

    Hyperbolae are No Hyperbole: Modelling Communities That are Not Cliques by Metzler, Saskia, Gunnemann, Stephan, Miettinen, Pauli

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