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    KDD
    2004
    ACM
    207views Data Mining» more  KDD 2004»
    Belief state approaches to signaling alarms in surveillance systems
    14 years 9 months ago
    Belief state approaches to signaling alarms in surveillance systems
    Download  www.cs.cmu.edu
    Surveillance systems have long been used to monitor industrial processes and are becoming increasingly popular in public health and anti-terrorism applications. Most early detecti...
    Kaustav Das, Andrew W. Moore, Jeff G. Schneider
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    ESANN
    2007
    100views Neural Networks» more  ESANN 2007»
    Collaborative Filtering with interlaced Generalized Linear Models
    13 years 10 months ago
    Collaborative Filtering with interlaced Generalized Linear Models
    Download  www.dice.ucl.ac.be
    Collaborative Filtering (CF) aims at finding patterns in a sparse matrix of contingency. It can be used for example to mine the ratings given by users on a set of items. In this p...
    Nicolas Delannay, Michel Verleysen
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    TKDE
    2008
    152views more  TKDE 2008»
    SRDA: An Efficient Algorithm for Large-Scale Discriminant Analysis
    13 years 8 months ago
    SRDA: An Efficient Algorithm for Large-Scale Discriminant Analysis
    Download  www.cs.uiuc.edu
    Linear Discriminant Analysis (LDA) has been a popular method for extracting features that preserves class separability. The projection functions of LDA are commonly obtained by max...
    Deng Cai, Xiaofei He, Jiawei Han
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    ICWSM
    2009
    157views Internet Technology» more  ICWSM 2009»
    Delta TFIDF: An Improved Feature Space for Sentiment Analysis
    13 years 6 months ago
    Delta TFIDF: An Improved Feature Space for Sentiment Analysis
    Download  ebiquity.umbc.edu
    Mining opinions and sentiment from social networking sites is a popular application for social media systems. Common approaches use a machine learning system with a bag of words f...
    Justin Martineau, Tim Finin
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    KDD
    2010
    ACM
    232views Data Mining» more  KDD 2010»
    Discovering frequent patterns in sensitive data
    14 years 23 days ago
    Discovering frequent patterns in sensitive data
    Download  research.microsoft.com
    Discovering frequent patterns from data is a popular exploratory technique in data mining. However, if the data are sensitive (e.g. patient health records, user behavior records) ...
    Raghav Bhaskar, Srivatsan Laxman, Adam Smith, Abhr...
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