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IJCNN
2006
IEEE
16 years 16 days ago
Pattern Selection for Support Vector Regression based on Sparseness and Variability
— Support Vector Machine has been well received in machine learning community with its theoretical as well as practical value. However, since its training time complexity is cubi...
Jiyoung Sun, Sungzoon Cho
DAWAK
2003
Springer
15 years 11 months ago
Comprehensive Log Compression with Frequent Patterns
In this paper we present a comprehensive log compression (CLC) method that uses frequent patterns and their condensed representations to identify repetitive information from large ...
Kimmo Hätönen, Jean-François Boul...
ICDE
2008
IEEE
158views Database» more  ICDE 2008»
16 years 7 months ago
CARE: Finding Local Linear Correlations in High Dimensional Data
Finding latent patterns in high dimensional data is an important research problem with numerous applications. Existing approaches can be summarized into 3 categories: feature selec...
Xiang Zhang, Feng Pan, Wei Wang
PKDD
2007
Springer
121views Data Mining» more  PKDD 2007»
16 years 19 days ago
Improved Algorithms for Univariate Discretization of Continuous Features
In discretization of a continuous variable its numerical value range is divided into a few intervals that are used in classification. For example, Na¨ıve Bayes can benefit from...
Jussi Kujala, Tapio Elomaa
SIGMOD
2006
ACM
219views Database» more  SIGMOD 2006»
16 years 6 months ago
Modeling skew in data streams
Data stream applications have made use of statistical summaries to reason about the data using nonparametric tools such as histograms, heavy hitters, and join sizes. However, rela...
Flip Korn, S. Muthukrishnan, Yihua Wu