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ICDM
2005
IEEE
139views Data Mining» more  ICDM 2005»
15 years 10 months ago
Stability of Feature Selection Algorithms
With the proliferation of extremely high-dimensional data, feature selection algorithms have become indispensable components of the learning process. Strangely, despite extensive ...
Alexandros Kalousis, Julien Prados, Melanie Hilari...
IRI
2005
IEEE
15 years 10 months ago
Handling missing values via decomposition of the conditioned set
In this paper, a framework for replacing missing values in a database is proposed since a real-world database is seldom complete. Good data quality in a database can directly impr...
Mei-Ling Shyu, Indika Kuruppu-Appuhamilage, Shu-Ch...
PAKDD
2005
ACM
63views Data Mining» more  PAKDD 2005»
15 years 10 months ago
Pruning Derivative Partial Rules During Impact Rule Discovery
Because exploratory rule discovery works with data that is only a sample of the phenomena to be investigated, some resulting rules may appear interesting only by chance. Techniques...
Shiying Huang, Geoffrey I. Webb
KDD
2004
ACM
124views Data Mining» more  KDD 2004»
15 years 9 months ago
Incorporating prior knowledge with weighted margin support vector machines
Like many purely data-driven machine learning methods, Support Vector Machine (SVM) classifiers are learned exclusively from the evidence presented in the training dataset; thus ...
Xiaoyun Wu, Rohini K. Srihari
PAKDD
2004
ACM
83views Data Mining» more  PAKDD 2004»
15 years 9 months ago
Providing Diversity in K-Nearest Neighbor Query Results
Abstract. Given a point query Q in multi-dimensional space, K-Nearest Neighbor (KNN) queries return the K closest answers in the database with respect to Q. In this scenario, it is...
Anoop Jain, Parag Sarda, Jayant R. Haritsa
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