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    KDD
    1998
    ACM
    190views Data Mining» more  KDD 1998»
    Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers
    14 years 3 days ago
    Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers
    Download  www.cs.cmu.edu
    This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
    R. Bharat Rao, Scott Rickard, Frans Coetzee
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    DCOSS
    2007
    Springer
    177views Distributed And Parallel Com...» more  DCOSS 2007»
    Separating the Wheat from the Chaff: Practical Anomaly Detection Schemes in Ecological Applications of Distributed Sensor Networ
    14 years 2 months ago
    Separating the Wheat from the Chaff: Practical Anomaly Detection Schemes in Ecological Applications of Distributed Sensor Networ
    Download  math.lanl.gov
    Abstract. We develop a practical, distributed algorithm to detect events, identify measurement errors, and infer missing readings in ecological applications of wireless sensor netw...
    Luís M. A. Bettencourt, Aric A. Hagberg, Le...
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    SDM
    2008
    SIAM
    119views Data Mining» more  SDM 2008»
    An Efficient Local Algorithm for Distributed Multivariate Regression in Peer-to-Peer Networks
    13 years 9 months ago
    An Efficient Local Algorithm for Distributed Multivariate Regression in Peer-to-Peer Networks
    Download  www.cs.umbc.edu
    This paper offers a local distributed algorithm for multivariate regression in large peer-to-peer environments. The algorithm is designed for distributed inferencing, data compact...
    Kanishka Bhaduri, Hillol Kargupta
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    CIKM
    2010
    Springer
    118views Information Technology» more  CIKM 2010»
    Mining networks with shared items
    13 years 2 months ago
    Mining networks with shared items
    Download  www.se-se.jp
    Recent advances in data processing have enabled the generation of large and complex graphs. Many researchers have developed techniques to investigate informative structures within...
    Jun Sese, Mio Seki, Mutsumi Fukuzaki
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    KDD
    2008
    ACM
    211views Data Mining» more  KDD 2008»
    ArnetMiner: extraction and mining of academic social networks
    14 years 8 months ago
    ArnetMiner: extraction and mining of academic social networks
    Download  keg.cs.tsinghua.edu.cn
    This paper addresses several key issues in the ArnetMiner system, which aims at extracting and mining academic social networks. Specifically, the system focuses on: 1) Extracting ...
    Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zha...
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