Sciweavers

1083 search results - page 50 / 217
» Efficient Discovery of Confounders in Large Data Sets
Sort
View
BMCBI
2008
186views more  BMCBI 2008»
13 years 10 months ago
Variable selection for large p small n regression models with incomplete data: Mapping QTL with epistases
Background: Identifying quantitative trait loci (QTL) for both additive and epistatic effects raises the statistical issue of selecting variables from a large number of candidates...
Min Zhang, Dabao Zhang, Martin T. Wells
ADBIS
2003
Springer
114views Database» more  ADBIS 2003»
14 years 3 months ago
Compressing Large Signature Trees
In this paper we present a new compression scheme for signature tree structures. Beyond the reduction of storage space, compression attains significant savings in terms of query pr...
Maria Kontaki, Yannis Manolopoulos, Alexandros Nan...
ICML
2004
IEEE
14 years 11 months ago
Learning large margin classifiers locally and globally
A new large margin classifier, named MaxiMin Margin Machine (M4 ) is proposed in this paper. This new classifier is constructed based on both a "local" and a "globa...
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. ...
ISCC
2006
IEEE
169views Communications» more  ISCC 2006»
14 years 4 months ago
Hierarchical Anomaly Detection in Distributed Large-Scale Sensor Networks
In this paper, an anomaly detection approach that fuses data gathered from different nodes in a distributed wireless sensor network is proposed and evaluated. The emphasis of this...
Vasilis Chatzigiannakis, Symeon Papavassiliou, Mar...
RAID
1999
Springer
14 years 2 months ago
Combining Knowledge Discovery and Knowledge Engineering to Build IDSs
We have been developing a data mining (i.e., knowledge discovery) framework, MADAM ID, for Mining Audit Data for Automated Models for Intrusion Detection [LSM98, LSM99b, LSM99a]. ...
Wenke Lee, Salvatore J. Stolfo