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    » Detecting Changes in Unlabeled Data Streams Using Martingale
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    KDD
    2007
    ACM
    178views Data Mining» more  KDD 2007»
    Density-based clustering for real-time stream data
    14 years 8 months ago
    Density-based clustering for real-time stream data
    Download  www.cs.wustl.edu
    Existing data-stream clustering algorithms such as CluStream are based on k-means. These clustering algorithms are incompetent to find clusters of arbitrary shapes and cannot hand...
    Yixin Chen, Li Tu
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    JCST
    2010
    153views more  JCST 2010»
    Model Failure and Context Switching Using Logic-Based Stochastic Models
    13 years 2 months ago
    Model Failure and Context Switching Using Logic-Based Stochastic Models
    Download  www.cs.unm.edu
    Abstract We define a notion of context that represents invariant, stable-over-time behavior in an environment and we propose an algorithm for detecting context changes in a stream ...
    Nikita A. Sakhanenko, George F. Luger
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    SDM
    2009
    SIAM
    144views Data Mining» more  SDM 2009»
    On Segment-Based Stream Modeling and Its Applications.
    14 years 4 months ago
    On Segment-Based Stream Modeling and Its Applications.
    Download  www.siam.org
    The primary constraint in the effective mining of data streams is the large volume of data which must be processed in real time. In many cases, it is desirable to store a summary...
    Charu C. Aggarwal
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    VLDB
    2005
    ACM
    122views Database» more  VLDB 2005»
    Streaming Pattern Discovery in Multiple Time-Series
    14 years 1 months ago
    Streaming Pattern Discovery in Multiple Time-Series
    Download  www.vldb2005.org
    In this paper, we introduce SPIRIT (Streaming Pattern dIscoveRy in multIple Timeseries). Given n numerical data streams, all of whose values we observe at each time tick t, SPIRIT...
    Spiros Papadimitriou, Jimeng Sun, Christos Falouts...
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    IMC
    2005
    ACM
    89views Internet Technology» more  IMC 2005»
    Improving Sketch Reconstruction Accuracy Using Linear Least Squares Method
    14 years 1 months ago
    Improving Sketch Reconstruction Accuracy Using Linear Least Squares Method
    Download  conferences.sigcomm.org
    Sketch is a sublinear space data structure that allows one to approximately reconstruct the value associated with any given key in an input data stream. It is the basis for answer...
    Gene Moo Lee, Huiya Liu, Young Yoon, Yin Zhang
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