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» Discovering Case Knowledge Using Data Mining
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KDD
2002
ACM
113views Data Mining» more  KDD 2002»
14 years 11 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...
ICDM
2007
IEEE
126views Data Mining» more  ICDM 2007»
14 years 5 months ago
Ask the Crowd to Find out What's Important
We present a corpus-based method for estimating the importance of sentences. Our main contribution is two-fold. First, we introduce the idea of using the increasing amount of manu...
Sisay Fissaha Adafre, Maarten de Rijke
KDD
2006
ACM
272views Data Mining» more  KDD 2006»
14 years 11 months ago
YALE: rapid prototyping for complex data mining tasks
KDD is a complex and demanding task. While a large number of methods has been established for numerous problems, many challenges remain to be solved. New tasks emerge requiring th...
Ingo Mierswa, Michael Wurst, Ralf Klinkenberg, Mar...
KDD
2001
ACM
163views Data Mining» more  KDD 2001»
14 years 11 months ago
The "DGX" distribution for mining massive, skewed data
Skewed distributions appear very often in practice. Unfortunately, the traditional Zipf distribution often fails to model them well. In this paper, we propose a new probability di...
Zhiqiang Bi, Christos Faloutsos, Flip Korn
KDD
2012
ACM
202views Data Mining» more  KDD 2012»
12 years 1 months ago
UFIMT: an uncertain frequent itemset mining toolbox
In recent years, mining frequent itemsets over uncertain data has attracted much attention in the data mining community. Unlike the corresponding problem in deterministic data, th...
Yongxin Tong, Lei Chen 0002, Philip S. Yu