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» Analysis of sampling techniques for association rule mining
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KDD
2002
ACM
148views Data Mining» more  KDD 2002»
14 years 7 months ago
Tumor cell identification using features rules
Advances in imaging techniques have led to large repositories of images. There is an increasing demand for automated systems that can analyze complex medical images and extract me...
Bin Fang, Wynne Hsu, Mong-Li Lee
WCRE
2010
IEEE
13 years 5 months ago
Mining Source Code for Structural Regularities
Abstract—During software development, design rules and contracts in the source code are often encoded through regularities, such as API usage protocols, coding idioms and naming ...
Angela Lozano, Andy Kellens, Kim Mens, Gabriela Ar...
ICDE
2006
IEEE
165views Database» more  ICDE 2006»
14 years 1 months ago
Privacy Preserving Clustering on Horizontally Partitioned Data
Data mining has been a popular research area for more than a decade due to its vast spectrum of applications. The power of data mining tools to extract hidden information that can...
Ali Inan, Yücel Saygin, Erkay Savas, Ay&ccedi...
SSPR
2000
Springer
13 years 11 months ago
The Role of Combining Rules in Bagging and Boosting
To improve weak classifiers bagging and boosting could be used. These techniques are based on combining classifiers. Usually, a simple majority vote or a weighted majority vote are...
Marina Skurichina, Robert P. W. Duin
JIB
2010
90views more  JIB 2010»
13 years 5 months ago
Enhancing Data Integration with Text Analysis to Find Proteins Implicated in Plant Stress Response
s text mining techniques over Medline abstracts as a method for accessing both these bodies of evidence in a consistent way. In an example use case, we apply our method to create a...
Keywan Hassani-Pak, Roxane Legaie, Catherine Canev...