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    PAKDD
    2005
    ACM
    124views Data Mining» more  PAKDD 2005»
    Finding Sporadic Rules Using Apriori-Inverse
    14 years 5 months ago
    Finding Sporadic Rules Using Apriori-Inverse
    Download  www.philippe-fournier-viger.com
    We define sporadic rules as those with low support but high confidence: for example, a rare association of two symptoms indicating a rare disease. To find such rules using the w...
    Yun Sing Koh, Nathan Rountree
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    PAKDD
    2005
    ACM
    63views Data Mining» more  PAKDD 2005»
    Pruning Derivative Partial Rules During Impact Rule Discovery
    14 years 5 months ago
    Pruning Derivative Partial Rules During Impact Rule Discovery
    Download  www.csse.monash.edu.au
    Because exploratory rule discovery works with data that is only a sample of the phenomena to be investigated, some resulting rules may appear interesting only by chance. Techniques...
    Shiying Huang, Geoffrey I. Webb
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    PAKDD
    2005
    ACM
    100views Data Mining» more  PAKDD 2005»
    Pushing Tougher Constraints in Frequent Pattern Mining
    14 years 5 months ago
    Pushing Tougher Constraints in Frequent Pattern Mining
    Download  www-kdd.isti.cnr.it
    In this paper we extend the state-of-art of the constraints that can be pushed in a frequent pattern computation. We introduce a new class of tough constraints, namely Loose Anti-m...
    Francesco Bonchi, Claudio Lucchese
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    PAKDD
    2005
    ACM
    111views Data Mining» more  PAKDD 2005»
    Training Support Vector Machines Using Greedy Stagewise Algorithm
    14 years 5 months ago
    Training Support Vector Machines Using Greedy Stagewise Algorithm
    Download  ttic.uchicago.edu
    Abstract. Hard margin support vector machines (HM-SVMs) have a risk of getting overfitting in the presence of the noise. Soft margin SVMs deal with this
    Liefeng Bo, Ling Wang, Licheng Jiao
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    PAKDD
    2005
    ACM
    117views Data Mining» more  PAKDD 2005»
    Automatic View Selection: An Application to Image Mining
    14 years 5 months ago
    Automatic View Selection: An Application to Image Mining
    Download  www3.ntu.edu.sg
    Abstract. In this paper we discuss an image mining application of Egeria detection. Egeria is a type of weed found in various lands and water regions over San Joaquin and Sacrament...
    Manoranjan Dash, Deepak Kolippakkam
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    PAKDD
    2005
    ACM
    105views Data Mining» more  PAKDD 2005»
    Threshold Tuning for Improved Classification Association Rule Mining
    14 years 5 months ago
    Threshold Tuning for Improved Classification Association Rule Mining
    Download  www.csc.liv.ac.uk
    Frans Coenen, Paul H. Leng, Lu Zhang
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    PAKDD
    2005
    ACM
    94views Data Mining» more  PAKDD 2005»
    Progressive Sampling for Association Rules Based on Sampling Error Estimation
    14 years 5 months ago
    Progressive Sampling for Association Rules Based on Sampling Error Estimation
    Download  arbor.ee.ntu.edu.tw
    We explore in this paper a progressive sampling algorithm, called Sampling Error Estimation (SEE), which aims to identify an appropriate sample size for mining association rules. S...
    Kun-Ta Chuang, Ming-Syan Chen, Wen-Chieh Yang
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    PAKDD
    2005
    ACM
    160views Data Mining» more  PAKDD 2005»
    Improving Mining Quality by Exploiting Data Dependency
    14 years 5 months ago
    Improving Mining Quality by Exploiting Data Dependency
    Download  www.cs.ucla.edu
    The usefulness of the results produced by data mining methods can be critically impaired by several factors such as (1) low quality of data, including errors due to contamination, ...
    Fang Chu, Yizhou Wang, Carlo Zaniolo, Douglas Stot...
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    PAKDD
    2005
    ACM
    146views Data Mining» more  PAKDD 2005»
    An Incremental Data Stream Clustering Algorithm Based on Dense Units Detection
    14 years 5 months ago
    An Incremental Data Stream Clustering Algorithm Based on Dense Units Detection
    Download  www.cse.msu.edu
    Abstract. The data stream model of computation is often used for analyzing huge volumes of continuously arriving data. In this paper, we present a novel algorithm called DUCstream ...
    Jing Gao, Jianzhong Li, Zhaogong Zhang, Pang-Ning ...
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    PAKDD
    2005
    ACM
    133views Data Mining» more  PAKDD 2005»
    An Anomaly Detection Method for Spacecraft Using Relevance Vector Learning
    14 years 5 months ago
    An Anomaly Detection Method for Spacecraft Using Relevance Vector Learning
    Download  www.space.rcast.u-tokyo.ac.jp
    This paper proposes a novel anomaly detection system for spacecrafts based on data mining techniques. It constructs a nonlinear probabilistic model w.r.t. behavior of a spacecraft ...
    Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida
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