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HAIS
2011
Springer
14 years 5 months ago
Clustering Ensemble for Spam Filtering
One of the main problems that modern e-mail systems face is the management of the high degree of spam or junk mail they recieve. Those systems are expected to be able to distinguis...
Santiago Porras, Bruno Baruque, Belén Vaque...
WWW
2009
ACM
15 years 6 months ago
Extracting data records from the web using tag path clustering
Fully automatic methods that extract lists of objects from the Web have been studied extensively. Record extraction, the first step of this object extraction process, identifies...
Gengxin Miao, Jun'ichi Tatemura, Wang-Pin Hsiung, ...
CSB
2004
IEEE
116views Bioinformatics» more  CSB 2004»
15 years 5 months ago
In-Silico Prediction of Surface Residue Clusters for Enzyme-Substrate Specificity
One of the most remarkable properties of enzyme-substrate binding is the high substrate specificity among homologous enzymes. Identification of regions in enzymes that play an imp...
Gong-Xin Yu, Byung-Hoon Park, Praveen Chandramohan...
BMCBI
2007
160views more  BMCBI 2007»
15 years 1 months ago
Identifying protein complexes directly from high-throughput TAP data with Markov random fields
Background: Predicting protein complexes from experimental data remains a challenge due to limited resolution and stochastic errors of high-throughput methods. Current algorithms ...
Wasinee Rungsarityotin, Roland Krause, Arno Sch&ou...
MM
2003
ACM
84views Multimedia» more  MM 2003»
15 years 6 months ago
Temporal event clustering for digital photo collections
We present similarity-based methods to cluster digital photos by time and image content. The approach is general, unsupervised, and makes minimal assumptions regarding the structu...
Matthew L. Cooper, Jonathan Foote, Andreas Girgens...