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KDD
2009
ACM
174views Data Mining» more  KDD 2009»
16 years 28 days ago
Visual exploration of categorical and mixed data sets
For categorical data there does not exist any similarity measure which is as straight forward and general as the numerical distance between numerical items. Due to this it is ofte...
Sara Johansson
ICDE
2008
IEEE
153views Database» more  ICDE 2008»
16 years 7 months ago
A Framework for Clustering Uncertain Data Streams
Abstract-- In recent years, uncertain data management applications have grown in importance because of the large number of hardware applications which measure data approximately. F...
Charu C. Aggarwal, Philip S. Yu
KDD
2002
ACM
187views Data Mining» more  KDD 2002»
16 years 6 months ago
Transforming classifier scores into accurate multiclass probability estimates
Class membership probability estimates are important for many applications of data mining in which classification outputs are combined with other sources of information for decisi...
Bianca Zadrozny, Charles Elkan
ICDM
2009
IEEE
163views Data Mining» more  ICDM 2009»
16 years 25 days ago
Kernel Conditional Quantile Estimation via Reduction Revisited
Quantile regression refers to the process of estimating the quantiles of a conditional distribution and has many important applications within econometrics and data mining, among ...
Novi Quadrianto, Kristian Kersting, Mark D. Reid, ...
ICDM
2008
IEEE
118views Data Mining» more  ICDM 2008»
16 years 18 days ago
Dirichlet Process Based Evolutionary Clustering
Evolutionary Clustering has emerged as an important research topic in recent literature of data mining, and solutions to this problem have found a wide spectrum of applications, p...
Tianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, ...