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ACMSE
2005
ACM
13 years 11 months ago
Investigating hidden Markov models capabilities in anomaly detection
Hidden Markov Model (HMM) based applications are common in various areas, but the incorporation of HMM's for anomaly detection is still in its infancy. This paper aims at cla...
Shrijit S. Joshi, Vir V. Phoha
DATAMINE
1999
81views more  DATAMINE 1999»
13 years 5 months ago
The Role of Occam's Razor in Knowledge Discovery
Many KDD systems incorporate an implicit or explicit preference for simpler models, but this use of "Occam's razor" has been strongly criticized by several authors (...
Pedro Domingos
KDD
1999
ACM
193views Data Mining» more  KDD 1999»
13 years 10 months ago
Data Mining of User Navigation Patterns
Abstract. We propose a data mining model that captures the user navigation behaviour patterns. The user navigation sessions are modelled as a hypertext probabilistic grammar whose ...
José Borges, Mark Levene
KDD
1999
ACM
199views Data Mining» more  KDD 1999»
13 years 10 months ago
The Application of AdaBoost for Distributed, Scalable and On-Line Learning
We propose to use AdaBoost to efficiently learn classifiers over very large and possibly distributed data sets that cannot fit into main memory, as well as on-line learning wher...
Wei Fan, Salvatore J. Stolfo, Junxin Zhang
KDD
1999
ACM
108views Data Mining» more  KDD 1999»
13 years 10 months ago
Mining the Most Interesting Rules
Several algorithms have been proposed for finding the “best,” “optimal,” or “most interesting” rule(s) in a database according to a variety of metrics including confid...
Roberto J. Bayardo Jr., Rakesh Agrawal