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CORR
2010
Springer
92views Education» more  CORR 2010»
14 years 8 months ago
Network Intrusion Detection Using FP Tree Rules
----------------------------------------------ABSTRACT-------------------------------------------In the faceless world of the Internet, online fraud is one of the greatest reasons ...
P. Srinivasulu, J. Ranga Rao, I. Ramesh Babu
ICML
2007
IEEE
15 years 10 months ago
Parameter learning for relational Bayesian networks
We present a method for parameter learning in relational Bayesian networks (RBNs). Our approach consists of compiling the RBN model into a computation graph for the likelihood fun...
Manfred Jaeger
HASE
1998
IEEE
15 years 1 months ago
Combining Various Solution Techniques for Dynamic Fault Tree Analysis of Computer Systems
Fault trees provide a graphical and logical framework for analyzing the reliability of systems. A fault tree provides a conceptually simple modeling framework to represent the sys...
Ragavan Manian, Joanne Bechta Dugan, David Coppit,...
IPM
2008
159views more  IPM 2008»
14 years 9 months ago
Exploring syntactic structured features over parse trees for relation extraction using kernel methods
Extracting semantic relationships between entities from text documents is challenging in information extraction and important for deep information processing and management. This ...
Min Zhang, Guodong Zhou, AiTi Aw
SIGMOD
1996
ACM
110views Database» more  SIGMOD 1996»
15 years 1 months ago
Mining Quantitative Association Rules in Large Relational Tables
We introduce the problem of mining association rules in large relational tables containing both quantitative and categorical attributes. An example of such an association might be...
Ramakrishnan Srikant, Rakesh Agrawal