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KDD
2002
ACM
147views Data Mining» more  KDD 2002»
16 years 4 months ago
Visualized Classification of Multiple Sample Types
The goal of the knowledge discovery and data mining is to extract the useful knowledge from the given data. Visualization enables us to find structures, features, patterns, and re...
Li Zhang, Aidong Zhang, Murali Ramanathan
KDD
2002
ACM
115views Data Mining» more  KDD 2002»
16 years 4 months ago
Collaborative crawling: mining user experiences for topical resource discovery
The rapid growth of the world wide web had made the problem of topic speci c resource discovery an important one in recent years. In this problem, it is desired to nd web pages wh...
Charu C. Aggarwal
KDD
2002
ACM
113views Data Mining» more  KDD 2002»
16 years 4 months ago
Scalable robust covariance and correlation estimates for data mining
Covariance and correlation estimates have important applications in data mining. In the presence of outliers, classical estimates of covariance and correlation matrices are not re...
Fatemah A. Alqallaf, Kjell P. Konis, R. Douglas Ma...
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KDD
2002
ACM
170views Data Mining» more  KDD 2002»
16 years 4 months ago
Enhanced word clustering for hierarchical text classification
In this paper we propose a new information-theoretic divisive algorithm for word clustering applied to text classification. In previous work, such "distributional clustering&...
Inderjit S. Dhillon, Subramanyam Mallela, Rahul Ku...
KDD
2002
ACM
155views Data Mining» more  KDD 2002»
16 years 4 months ago
SyMP: an efficient clustering approach to identify clusters of arbitrary shapes in large data sets
We propose a new clustering algorithm, called SyMP, which is based on synchronization of pulse-coupled oscillators. SyMP represents each data point by an Integrate-and-Fire oscill...
Hichem Frigui
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