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    INFORMATICALT
    2008
    196views more  INFORMATICALT 2008»
    An Efficient and Sensitive Decision Tree Approach to Mining Concept-Drifting Data Streams
    13 years 7 months ago
    An Efficient and Sensitive Decision Tree Approach to Mining Concept-Drifting Data Streams
    Download  www.mii.lt
    Abstract. Data stream mining has become a novel research topic of growing interest in knowledge discovery. Most proposed algorithms for data stream mining assume that each data blo...
    Cheng-Jung Tsai, Chien-I Lee, Wei-Pang Yang
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    PR
    2007
    81views more  PR 2007»
    Mining evolving data streams for frequent patterns
    13 years 7 months ago
    Mining evolving data streams for frequent patterns
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    A data stream is a potentially uninterrupted flow of data. Mining this flow makes it necessary to cope with uncertainty, as only a part of the stream can be stored. In this pape...
    Pierre-Alain Laur, Richard Nock, Jean-Emile Sympho...
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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.
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    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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    IEAAIE
    2005
    Springer
    135views Artificial Intelligence» more  IEAAIE 2005»
    Data Mining for Decision Support: An Application in Public Health Care
    14 years 1 months ago
    Data Mining for Decision Support: An Application in Public Health Care
    Download  www.csd.abdn.ac.uk
    Aleksander Pur, Marko Bohanec, Bojan Cestnik, Nada...
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    ICEIS
    2002
    IEEE
    80views Information Technology» more  ICEIS 2002»
    Supporting the Optimisation of Distributed Data Mining by Predicting Application Run Times
    14 years 16 days ago
    Supporting the Optimisation of Distributed Data Mining by Predicting Application Run Times
    Download  www.csse.monash.edu.au
    Shonali Krishnaswamy, Seng Wai Loke, Arkady B. Zas...
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