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    » Incremental Local Outlier Detection for Data Streams
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    MLDM
    2007
    Springer
    214views Machine Learning» more  MLDM 2007»
    Outlier Detection with Kernel Density Functions
    14 years 1 months ago
    Outlier Detection with Kernel Density Functions
    Download  www.cis.temple.edu
    Abstract. Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel unsupervised algorithm for outlier detec...
    Longin Jan Latecki, Aleksandar Lazarevic, Dragolju...
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    DAGSTUHL
    2007
    257views Software Engineering» more  DAGSTUHL 2007»
    An XML Framework for Integrating Continuous Queries, Composite Event Detection, and Database Condition Monitoring for Multiple D
    13 years 8 months ago
    An XML Framework for Integrating Continuous Queries, Composite Event Detection, and Database Condition Monitoring for Multiple D
    Download  drops.dagstuhl.de
    Abstract Current, data-driven applications have become more dynamic in nature, with the need to respond to events generated from distributed sources or to react to information extr...
    Susan Darling Urban, Suzanne W. Dietrich, Yi Chen
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    SIGKDD
    2008
    125views more  SIGKDD 2008»
    Incremental pattern discovery on streams, graphs and tensors
    13 years 7 months ago
    Incremental pattern discovery on streams, graphs and tensors
    Download  www.sigkdd.org
    Incremental pattern discovery targets streaming applications where the data continuously arrive incrementally. The questions are how to find patterns (main trends) incrementally; ...
    Jimeng Sun
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    ASPLOS
    2010
    ACM
    325views Programming Languages» more  ASPLOS 2010»
    Accelerating the local outlier factor algorithm on a GPU for intrusion detection systems
    14 years 2 months ago
    Accelerating the local outlier factor algorithm on a GPU for intrusion detection systems
    Download  www.ece.neu.edu
    The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
    Malak Alshawabkeh, Byunghyun Jang, David R. Kaeli
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    KDD
    2009
    ACM
    217views Data Mining» more  KDD 2009»
    Efficient anomaly monitoring over moving object trajectory streams
    14 years 8 months ago
    Efficient anomaly monitoring over moving object trajectory streams
    Download  www-ai.cs.uni-dortmund.de
    Lately there exist increasing demands for online abnormality monitoring over trajectory streams, which are obtained from moving object tracking devices. This problem is challengin...
    Yingyi Bu, Lei Chen 0002, Ada Wai-Chee Fu, Dawei L...
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