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» Sampling minimal frequent boolean (DNF) patterns
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KDD
2012
ACM
187views Data Mining» more  KDD 2012»
11 years 6 months ago
Sampling minimal frequent boolean (DNF) patterns
We tackle the challenging problem of mining the simplest Boolean patterns from categorical datasets. Instead of complete enumeration, which is typically infeasible for this class ...
Geng Li, Mohammed J. Zaki
IJKDB
2010
141views more  IJKDB 2010»
13 years 1 months ago
Mining Frequent Boolean Expressions: Application to Gene Expression and Regulatory Modeling
Regulatory network analysis and other bioinformatics tasks require the ability to induce and represent arbitrary boolean expressions from data sources. We introduce a novel framew...
Mohammed Javeed Zaki, Naren Ramakrishnan, Lizhuang...
PAKDD
2004
ACM
127views Data Mining» more  PAKDD 2004»
13 years 9 months ago
Separating Structure from Interestingness
Condensed representations of pattern collections have been recognized to be important building blocks of inductive databases, a promising theoretical framework for data mining, and...
Taneli Mielikäinen
BMCBI
2006
126views more  BMCBI 2006»
13 years 4 months ago
A minimally invasive multiple marker approach allows highly efficient detection of meningioma tumors
Background: The development of effective frameworks that permit an accurate diagnosis of tumors, especially in their early stages, remains a grand challenge in the field of bioinf...
Andreas Keller, Nicole Ludwig, Nicole Comtesse, An...
ICC
2007
IEEE
149views Communications» more  ICC 2007»
13 years 10 months ago
Synchronization Signal Design for OFDM Based On Time-Frequency Hopping Patterns
— In an OFDM system, channel estimation can be considered as sampling the time-frequency response of the channel through a number of known pilot symbols placed across the time-fr...
Jiann-Ching Guey