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Titlebook: Methodologies for Knowledge Discovery and Data Mining; Third Pacific-Asia C Ning Zhong,Lizhu Zhou Conference proceedings 1999 Springer-Verl

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/632152.jpg
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Data Mining Techniques for Associations, Clustering and Classificationng and classification. With the recent increase in large online repositories of information, such techniques have great importance. The focus is on high dimensional data spaces with large volumes of data. The paper discusses past research on the topic and also studies the corresponding algorithms and applications.
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https://doi.org/10.1007/3-540-48912-6classification; data mining; fuzzy; fuzzy logic; knowledge; knowledge discovery; neural network; visualizat
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On Information-Theoretic Measures of Attribute ImportanceAn attribute is deemed important in data mining if it partitions the database such that previously unknown regularities are observable. Many information-theoretic measures have been applied to quantify the importance of an attribute. In this paper, we summarize and critically analyze these measures.
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Methodologies for Knowledge Discovery and Data Mining978-3-540-48912-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
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0302-9743 Overview: Includes supplementary material: 978-3-540-65866-5978-3-540-48912-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
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