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» Mining for the most certain predictions from dyadic data
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SIGECOM
2008
ACM
188views ECommerce» more  SIGECOM 2008»
13 years 6 months ago
Predicting trusts among users of online communities: an epinions case study
Trust between a pair of users is an important piece of information for users in an online community (such as electronic commerce websites and product review websites) where users ...
Haifeng Liu, Ee-Peng Lim, Hady Wirawan Lauw, Minh-...
DMKD
2003
ACM
148views Data Mining» more  DMKD 2003»
14 years 4 hour ago
A symbolic representation of time series, with implications for streaming algorithms
The parallel explosions of interest in streaming data, and data mining of time series have had surprisingly little intersection. This is in spite of the fact that time series data...
Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Bil...
CIKM
2008
Springer
13 years 8 months ago
Viability of in-house datamarting approaches for population genetics analysis of snp genotypes
Background: Databases containing very large amounts of SNP (Single Nucleotide Polymorphism) data are now freely available for researchers interested in medical and/or population g...
Jorge Amigo, Christopher Phillips, Antonio Salas
BMCBI
2008
118views more  BMCBI 2008»
13 years 6 months ago
MetWAMer: eukaryotic translation initiation site prediction
Background: Translation initiation site (TIS) identification is an important aspect of the gene annotation process, requisite for the accurate delineation of protein sequences fro...
Michael E. Sparks, Volker Brendel
KDD
2009
ACM
172views Data Mining» more  KDD 2009»
13 years 11 months ago
Learning dynamic temporal graphs for oil-production equipment monitoring system
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
Yan Liu, Jayant R. Kalagnanam, Oivind Johnsen