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» Optimizing Frequency Queries for Data Mining Applications
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KDD
2010
ACM
287views Data Mining» more  KDD 2010»
13 years 11 months ago
Designing efficient cascaded classifiers: tradeoff between accuracy and cost
We propose a method to train a cascade of classifiers by simultaneously optimizing all its stages. The approach relies on the idea of optimizing soft cascades. In particular, inst...
Vikas C. Raykar, Balaji Krishnapuram, Shipeng Yu
KDD
2009
ACM
215views Data Mining» more  KDD 2009»
14 years 9 months ago
Large-scale sparse logistic regression
Logistic Regression is a well-known classification method that has been used widely in many applications of data mining, machine learning, computer vision, and bioinformatics. Spa...
Jun Liu, Jianhui Chen, Jieping Ye
JUCS
2008
116views more  JUCS 2008»
13 years 9 months ago
A Workflow Language for Web Automation
: Most today's web sources do not provide suitable interfaces for software programs to interact with them. Many researchers have proposed highly effective techniques to addres...
Paula Montoto, Alberto Pan, Juan Raposo, Jos&eacut...
CIKM
2010
Springer
13 years 4 months ago
Mining networks with shared items
Recent advances in data processing have enabled the generation of large and complex graphs. Many researchers have developed techniques to investigate informative structures within...
Jun Sese, Mio Seki, Mutsumi Fukuzaki
KDD
2005
ACM
109views Data Mining» more  KDD 2005»
14 years 9 months ago
Formulating distance functions via the kernel trick
Tasks of data mining and information retrieval depend on a good distance function for measuring similarity between data instances. The most effective distance function must be for...
Gang Wu, Edward Y. Chang, Navneet Panda