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» Informative sampling for large unbalanced data sets
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BMCBI
2008
92views more  BMCBI 2008»
15 years 1 months ago
A semiparametric modeling framework for potential biomarker discovery and the development of metabonomic profiles
Background: The discovery of biomarkers is an important step towards the development of criteria for early diagnosis of disease status. Recently electrospray ionization (ESI) and ...
Samiran Ghosh, David F. Grant, Dipak K. Dey, Denni...
PAAPP
2007
109views more  PAAPP 2007»
15 years 1 months ago
Relation rule mining
\Web users are nowadays confronted with the huge variety of available information sources whose content is not targeted at any specific group or layer. Recommendation systems aim...
Mehdi Adda, Rokia Missaoui, Petko Valtchev
PERCOM
2004
ACM
16 years 1 months ago
An Augmented Virtual Reality Interface for Assistive Monitoring of Smart Spaces
Large sensor networks in applications such as surveillance and virtual classrooms, have to deal with the explosion of sensor information. Coherent presentation of data coming from...
Shichao Ou, Deepak R. Karuppiah, Andrew H. Fagg, E...
SIGUCCS
2000
ACM
15 years 5 months ago
There is No Such Thing as Free Support
Every campus department needs computer support, from ordering and setting up new computers to installing software and answering software questions. This is in addition to training...
Dianne Brotherson
ICDE
1998
IEEE
187views Database» more  ICDE 1998»
16 years 2 months ago
Mining Optimized Association Rules with Categorical and Numeric Attributes
?Mining association rules on large data sets has received considerable attention in recent years. Association rules are useful for determining correlations between attributes of a ...
Rajeev Rastogi, Kyuseok Shim