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BMCBI
2005
112views more  BMCBI 2005»
15 years 3 months ago
Visualization methods for statistical analysis of microarray clusters
Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
Matthew A. Hibbs, Nathaniel C. Dirksen, Kai Li, Ol...
CLUSTER
2005
IEEE
15 years 9 months ago
A pipelined data-parallel algorithm for ILP
The amount of data collected and stored in databases is growing considerably for almost all areas of human activity. Processing this amount of data is very expensive, both humanly...
Nuno A. Fonseca, Fernando M. A. Silva, Víto...
137
Voted
ICISC
2004
169views Cryptology» more  ICISC 2004»
15 years 5 months ago
ADWICE - Anomaly Detection with Real-Time Incremental Clustering
Abstract. Anomaly detection, detection of deviations from what is considered normal, is an important complement to misuse detection based on attack signatures. Anomaly detection in...
Kalle Burbeck, Simin Nadjm-Tehrani
132
Voted
DL
2000
Springer
162views Digital Library» more  DL 2000»
15 years 8 months ago
Snowball: extracting relations from large plain-text collections
Text documents often contain valuable structured data that is hidden in regular English sentences. This data is best exploited if available as a relational table that we could use...
Eugene Agichtein, Luis Gravano
210
Voted
VLDB
2007
ACM
91views Database» more  VLDB 2007»
16 years 3 months ago
On Dominating Your Neighborhood Profitably
Recent research on skyline queries has attracted much interest in the database and data mining community. Given a database, an object belongs to the skyline if it cannot be domina...
Cuiping Li, Anthony K. H. Tung, Wen Jin, Martin Es...