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ICDM
2006
IEEE
137views Data Mining» more  ICDM 2006»
16 years 1 months ago
Automatic Construction of N-ary Tree Based Taxonomies
Hierarchies are an intuitive and effective organization paradigm for data. Of late there has been considerable research on automatically learning hierarchical organizations of dat...
Kunal Punera, Suju Rajan, Joydeep Ghosh
ICDM
2006
IEEE
131views Data Mining» more  ICDM 2006»
16 years 1 months ago
Transforming Semi-Honest Protocols to Ensure Accountability
The secure multi-party computation (SMC) model provides means for balancing the use and confidentiality of distributed data. This is especially important in the field of privacy...
Wei Jiang, Chris Clifton
ADMA
2006
Springer
127views Data Mining» more  ADMA 2006»
16 years 1 months ago
Feature Selection for Complex Patterns
Feature selection is an important data preprocessing step in data mining and pattern recognition. Many algorithms have been proposed in the past for simple patterns that can be cha...
Peter Schenkel, Wanqing Li, Wanquan Liu
PAKDD
2005
ACM
94views Data Mining» more  PAKDD 2005»
16 years 22 days ago
Progressive Sampling for Association Rules Based on Sampling Error Estimation
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
KDD
2004
ACM
157views Data Mining» more  KDD 2004»
16 years 18 days ago
On detecting space-time clusters
Detection of space-time clusters is an important function in various domains (e.g., epidemiology and public health). The pioneering work on the spatial scan statistic is often use...
Vijay S. Iyengar