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    PAKDD
    2005
    ACM
    105views Data Mining» more  PAKDD 2005»
    Threshold Tuning for Improved Classification Association Rule Mining
    14 years 2 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 2 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 2 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 2 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 2 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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    MADNES
    2005
    Springer
    149views Communications» more  MADNES 2005»
    Distributed Data Mining Protocols for Privacy: A Review of Some Recent Results
    14 years 2 months ago
    Distributed Data Mining Protocols for Privacy: A Review of Some Recent Results
    Download  www.cs.rutgers.edu
    With the rapid advance of the Internet, a large amount of sensitive data is collected, stored, and processed by different parties. Data mining is a powerful tool that can extract ...
    Rebecca N. Wright, Zhiqiang Yang, Sheng Zhong
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    KES
    2005
    Springer
    145views Information Technology» more  KES 2005»
    OntoExtractor: A Fuzzy-Based Approach in Clustering Semi-structured Data Sources and Metadata Generation
    14 years 2 months ago
    OntoExtractor: A Fuzzy-Based Approach in Clustering Semi-structured Data Sources and Metadata Generation
    Download  www.crema.unimi.it
    This paper describes a theoretical approach on data mining, information classifying and a global overview of our OntoExtractor application, concerning the analysis of incoming data...
    Zhan Cui, Ernesto Damiani, Marcello Leida, Marco V...
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    KDD
    2005
    ACM
    107views Data Mining» more  KDD 2005»
    Cross-relational clustering with user's guidance
    14 years 2 months ago
    Cross-relational clustering with user's guidance
    Download  www.cs.uiuc.edu
    Clustering is an essential data mining task with numerous applications. However, data in most real-life applications are high-dimensional in nature, and the related information of...
    Xiaoxin Yin, Jiawei Han, Philip S. Yu
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    KDD
    2005
    ACM
    147views Data Mining» more  KDD 2005»
    Combining proactive and reactive predictions for data streams
    14 years 2 months ago
    Combining proactive and reactive predictions for data streams
    Download  www.cs.uiuc.edu
    Mining data streams is important in both science and commerce. Two major challenges are (1) the data may grow without limit so that it is difficult to retain a long history; and (...
    Ying Yang, Xindong Wu, Xingquan Zhu
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    KDD
    2005
    ACM
    139views Data Mining» more  KDD 2005»
    Learning to predict train wheel failures
    14 years 2 months ago
    Learning to predict train wheel failures
    Download  www.cs.uiuc.edu
    This paper describes a successful but challenging application of data mining in the railway industry. The objective is to optimize maintenance and operation of trains through prog...
    Chunsheng Yang, Sylvain Létourneau
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