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IS
2008
15 years 6 months ago
Efficient mining of frequent episodes from complex sequences
Discovering patterns with highly significance is an important problem in data mining discipline. An episode is defined to be a partially ordered set of events for a consecutive an...
Kuo-Yu Huang, Chia-Hui Chang
ML
2010
ACM
210views Machine Learning» more  ML 2010»
15 years 5 months ago
Mining frequent closed rooted trees
Many knowledge representation mechanisms are based on tree-like structures, thus symbolizing the fact that certain pieces of information are related in one sense or another. There ...
José L. Balcázar, Albert Bifet, Anto...
HICSS
2011
IEEE
335views Biometrics» more  HICSS 2011»
14 years 10 months ago
Cyberinfrastructure for Secondary Use of EHR Data: SSA's Use of the Nationwide Health Information Network
This study examined the use of the Nationwide Health Information Network as a cyberinfrastructure for secure and interoperable transport of existing clinical data from electronic ...
Sue S. Feldman, Thomas A. Horan
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
16 years 7 months ago
Mining discrete patterns via binary matrix factorization
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
Bao-Hong Shen, Shuiwang Ji, Jieping Ye
DATAMINE
2007
97views more  DATAMINE 2007»
15 years 6 months ago
Mining for trigger events with survival analysis
This paper discusses a new application of data mining, quantifying the importance of responding to trigger events with reactive contacts. Trigger events happen during a customer’...
Edward C. Malthouse