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    » Mining data streams: a review
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    HICSS
    2005
    IEEE
    117views Biometrics» more  HICSS 2005»
    Movie Review Mining: a Comparison between Supervised and Unsupervised Classification Approaches
    13 years 12 months ago
    Movie Review Mining: a Comparison between Supervised and Unsupervised Classification Approaches
    Download  knlp.snu.ac.kr
    Web content mining is intended to help people discover valuable information from large amount of unstructured data on the web. Movie review mining classifies movie reviews into tw...
    Pimwadee Chaovalit, Lina Zhou
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    WIS
    2004
    103views Information Technology» more  WIS 2004»
    A Wireless Data Stream Mining Model
    13 years 7 months ago
    A Wireless Data Stream Mining Model
    Download  www.csse.monash.edu.au
    The sensor networks, web click stream and astronomical applications generate a continuous flow of data streams. Most likely data streams are generated in a wireless environment. Th...
    Mohamed Medhat Gaber, Shonali Krishnaswamy, Arkady...
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    SIGMOD
    2006
    ACM
    148views Database» more  SIGMOD 2006»
    Research issues in data stream association rule mining
    14 years 6 months ago
    Research issues in data stream association rule mining
    Download  www.cs.ou.edu
    There exist emerging applications of data streams that require association rule mining, such as network traffic monitoring and web click streams analysis. Different from data in t...
    Nan Jiang, Le Gruenwald
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    KDD
    2000
    ACM
    95views Data Mining» more  KDD 2000»
    Hancock: a language for extracting signatures from data streams
    13 years 9 months ago
    Hancock: a language for extracting signatures from data streams
    Download  www.cs.ucla.edu
    Corinna Cortes, Kathleen Fisher, Daryl Pregibon, A...
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    KDD
    2001
    ACM
    152views Data Mining» more  KDD 2001»
    A streaming ensemble algorithm (SEA) for large-scale classification
    14 years 6 months ago
    A streaming ensemble algorithm (SEA) for large-scale classification
    Download  dollar.biz.uiowa.edu
    W. Nick Street, YongSeog Kim
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