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

無(wú)孔

胎兒

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/632152.jpg

拘留

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.

encyclopedia

https://doi.org/10.1007/3-540-48912-6classification; data mining; fuzzy; fuzzy logic; knowledge; knowledge discovery; neural network; visualizat

Vulnerary

縮短

Entreaty

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.

gastritis

共同時(shí)代

Methodologies for Knowledge Discovery and Data Mining978-3-540-48912-2Series ISSN 0302-9743 Series E-ISSN 1611-3349

famine

0302-9743 Overview: Includes supplementary material: 978-3-540-65866-5978-3-540-48912-2Series ISSN 0302-9743 Series E-ISSN 1611-3349