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PKDD
2005
Springer
105views Data Mining» more  PKDD 2005»
14 years 4 months ago
Protein Sequence Pattern Mining with Constraints
Considering the characteristics of biological sequence databases, which typically have a small alphabet, a very long length and a relative small size (several hundreds of sequences...
Pedro Gabriel Ferreira, Paulo J. Azevedo
INCDM
2010
Springer
486views Data Mining» more  INCDM 2010»
14 years 23 days ago
Finding Temporal Patterns in Noisy Longitudinal Data: A Study in Diabetic Retinopathy
This paper describes an approach to temporal pattern mining using the concept of user de ned temporal prototypes to de ne the nature of the trends of interests. The temporal patt...
Vassiliki Somaraki, Deborah Broadbent, Frans Coene...
AUSDM
2008
Springer
235views Data Mining» more  AUSDM 2008»
14 years 23 days ago
ShrFP-Tree: An Efficient Tree Structure for Mining Share-Frequent Patterns
Share-frequent pattern mining discovers more useful and realistic knowledge from database compared to the traditional frequent pattern mining by considering the non-binary frequen...
Chowdhury Farhan Ahmed, Syed Khairuzzaman Tanbeer,...
ICDM
2006
IEEE
139views Data Mining» more  ICDM 2006»
14 years 4 months ago
Privacy Preserving Nearest Neighbor Search
Data mining is frequently obstructed by privacy concerns. In many cases data is distributed, and bringing the data together in one place for analysis is not possible due to privac...
Mark Shaneck, Yongdae Kim, Vipin Kumar
PKDD
2005
Springer
110views Data Mining» more  PKDD 2005»
14 years 4 months ago
k-Anonymous Patterns
It is generally believed that data mining results do not violate the anonymity of the individuals recorded in the source database. In fact, data mining models and patterns, in orde...
Maurizio Atzori, Francesco Bonchi, Fosca Giannotti...