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

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  1. 141
    A Combinatorial Approach to Role Discovery

    A Combinatorial Approach to Role Discovery by Arockiasamy, Albert, Gionis, Aristides, Tatti, Nikolaj

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  2. 142
    Reliable Semi-supervised Learning

    Reliable Semi-supervised Learning by Junming Shao, Chen Huang, Qinli Yang, Guangchun Luo

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  3. 143
    Generalized Independent Subspace Clustering

    Generalized Independent Subspace Clustering by Wei Ye, Maurus, Samuel, Hubig, Nina, Plant, Claudia

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  4. 144
    On Dense Subgraphs in Signed Network Streams

    On Dense Subgraphs in Signed Network Streams by Cadena, Jose, Vullikanti, Anil Kumar, Aggarwal, Charu C.

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  5. 145
    KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift

    KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift by Losing, Viktor, Hammer, Barbara, Wersing, Heiko

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  6. 146
    Learning Deep Networks from Noisy Labels with Dropout Regularization

    Learning Deep Networks from Noisy Labels with Dropout Regularization by Jindal, Ishan, Nokleby, Matthew, Xuewen Chen

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  7. 147
    AWarp: Fast Warping Distance for Sparse Time Series

    AWarp: Fast Warping Distance for Sparse Time Series by Mueen, Abdullah, Chavoshi, Nikan, Abu-El-Rub, Noor, Hamooni, Hossein, Minnich, Amanda

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  8. 148
    Blind Men and The Elephant: Thurstonian Pairwise Preference for Ranking in Crowdsourcing

    Blind Men and The Elephant: Thurstonian Pairwise Preference for Ranking in Crowdsourcing by Xiaolong Wang, Jingjing Wang, Luo Jie, Chengxiang Zhai, Yi Chang

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  9. 149
    Sublinear Dual Coordinate Ascent for Regularized Loss Minimization

    Sublinear Dual Coordinate Ascent for Regularized Loss Minimization by Liu Liu, Dacheng Tao

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  10. 150
    Graph-Structured Sparse Optimization for Connected Subgraph Detection

    Graph-Structured Sparse Optimization for Connected Subgraph Detection by Baojian Zhou, Feng Chen

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  11. 151
    One-Pass Logistic Regression for Label-Drift and Large-Scale Classification on Distributed Systems

    One-Pass Logistic Regression for Label-Drift and Large-Scale Classification on Distributed Systems by Vu Nguyen, Tu Dinh Nguyen, Trung Le, Venkatesh, Svetha, Dinh Phung

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  12. 152
    Matrix Profile II: Exploiting a Novel Algorithm and GPUs to Break the One Hundred Million Barrier for Time Series Motifs and Joins

    Matrix Profile II: Exploiting a Novel Algorithm and GPUs to Break the One Hundred Million Barrier for Time Series Motifs and Joins by Yan Zhu, Zimmerman, Zachary, Senobari, Nader Shakibay, Yeh, Chin-Chia Michael, Funning, Gareth, Mueen, Abdullah, Brisk, Philip, Keogh, Eamonn

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  13. 153
    Background Check: A General Technique to Build More Reliable and Versatile Classifiers

    Background Check: A General Technique to Build More Reliable and Versatile Classifiers by Perello-Nieto, Miquel, Silva Filho, Telmo M., Kull, Meelis, Flach, Peter

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  14. 154
    Beyond Points and Paths: Counting Private Bodies

    Beyond Points and Paths: Counting Private Bodies by Fanaeepour, Maryam, Rubinstein, Benjamin I. P.

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  15. 155
    Fractality of Massive Graphs: Scalable Analysis with Sketch-Based Box-Covering Algorithm

    Fractality of Massive Graphs: Scalable Analysis with Sketch-Based Box-Covering Algorithm by Akiba, Takuya, Nakamura, Kenko, Takaguchi, Taro

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  16. 156
    A Scalable Framework for Stylometric Analysis Query Processing

    A Scalable Framework for Stylometric Analysis Query Processing by Nutanong, Sarana, Chenyun Yu, Sarwar, Raheem, Xu, Peter, Chow, Dickson

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  17. 157
    A Bayesian Nonparametric Approach to Dynamic Dyadic Data Prediction

    A Bayesian Nonparametric Approach to Dynamic Dyadic Data Prediction by Fengyuan Zhu, Guangyong Chen, Pheng-Ann Heng

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  18. 158
    Outlier Detection from Network Data with Subnetwork Interpretation

    Outlier Detection from Network Data with Subnetwork Interpretation by Xuan-Hong Dang, Silva, Arlei, Singh, Ambuj, Swami, Ananthram, Basu, Prithwish

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  19. 159
    Augmented LSTM Framework to Construct Medical Self-Diagnosis Android

    Augmented LSTM Framework to Construct Medical Self-Diagnosis Android by Chaochun Liu, Huan Sun, Nan Du, Shulong Tan, Hongliang Fei, Wei Fan, Tao Yang, Hao Wu, Yaliang Li, Chenwei Zhang

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  20. 160
    ADAGIO: Fast Data-Aware Near-Isometric Linear Embeddings

    ADAGIO: Fast Data-Aware Near-Isometric Linear Embeddings by Blasiok, Jaroslaw, Tsourakakis, Charalampos E.

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