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» Providing k-anonymity in data mining
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KDD
2009
ACM
224views Data Mining» more  KDD 2009»
14 years 2 months ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...
KDD
2010
ACM
310views Data Mining» more  KDD 2010»
14 years 1 months ago
An integrated machine learning approach to stroke prediction
Stroke is the third leading cause of death and the principal cause of serious long-term disability in the United States. Accurate prediction of stroke is highly valuable for early...
Aditya Khosla, Yu Cao, Cliff Chiung-Yu Lin, Hsu-Ku...
SDM
2004
SIAM
165views Data Mining» more  SDM 2004»
13 years 11 months ago
Visualizing RFM Segmentation
Segmentation based on RFM (Recency, Frequency, and Monetary) has been used for over 50 years by direct marketers to target a subset of their customers, save mailing costs, and imp...
Ron Kohavi, Rajesh Parekh
SDM
2010
SIAM
202views Data Mining» more  SDM 2010»
13 years 8 months ago
Multiresolution Motif Discovery in Time Series
Time series motif discovery is an important problem with applications in a variety of areas that range from telecommunications to medicine. Several algorithms have been proposed t...
Nuno Castro, Paulo J. Azevedo
WSDM
2012
ACM
258views Data Mining» more  WSDM 2012»
12 years 5 months ago
Large-scale analysis of individual and task differences in search result page examination strategies
Understanding the impact of individual and task differences on search result page examination strategies is important in developing improved search engines. Characterizing these e...
Georg Buscher, Ryen W. White, Susan T. Dumais, Jef...