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» Extracting Web Data Using Instance-Based Learning
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115
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KDD
2002
ACM
293views Data Mining» more  KDD 2002»
16 years 2 months ago
Automatic Categorization of Web Pages and User Clustering with Mixtures of Hidden Markov Models
We propose mixtures of hidden Markov models for modelling clickstreams of web surfers. Hence, the page categorization is learned from the data without the need for a (possibly cumb...
Alexander Ypma, Tom Heskes
134
Voted
WWW
2009
ACM
15 years 9 months ago
A general framework for adaptive and online detection of web attacks
Detection of web attacks is an important issue in current defense-in-depth security framework. In this paper, we propose a novel general framework for adaptive and online detectio...
Wei Wang 0012, Florent Masseglia, Thomas Guyet, Re...
104
Voted
AAAI
2008
15 years 4 months ago
Active Learning for Pipeline Models
For many machine learning solutions to complex applications, there are significant performance advantages to decomposing the overall task into several simpler sequential stages, c...
Dan Roth, Kevin Small
JOT
2007
124views more  JOT 2007»
15 years 2 months ago
Displaying Updated Stock Quotes
This paper describes how to extract stock quote data and display it with a dynamic update (using free, but delayed data streams). As a part of the architecture of the program, we ...
Douglas Lyon
98
Voted
BMCBI
2008
85views more  BMCBI 2008»
15 years 2 months ago
SPSmart: adapting population based SNP genotype databases for fast and comprehensive web access
Background: In the last five years large online resources of human variability have appeared, notably HapMap, Perlegen and the CEPH foundation. These databases of genotypes with p...
Jorge Amigo, Antonio Salas, Christopher Phillips, ...