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PAKDD
2004
ACM
100views Data Mining» more  PAKDD 2004»
11 years 6 months ago
Using Self-Consistent Naive-Bayes to Detect Masquerades
To gain access to account privileges, an intruder masquerades as the proper account user. This paper proposes a new strategy for detecting masquerades in a multiuser system. To det...
Kwong H. Yung
PAKDD
2004
ACM
97views Data Mining» more  PAKDD 2004»
11 years 6 months ago
Further Applications of a Particle Visualization Framework
Our previous work introduced a 3D particle visualization framework that viewed each data point as being a particle affected by gravitational forces. We showed the use of this tool ...
Ke Yin, Ian Davidson
PAKDD
2004
ACM
119views Data Mining» more  PAKDD 2004»
11 years 6 months ago
Mining Negative Rules Using GRD
GRD is an algorithm for k-most interesting rule discovery. In contrast to association rule discovery, GRD does not require the use of a minimum support constraint. Rather, the user...
Dhananjay R. Thiruvady, Geoffrey I. Webb
PAKDD
2004
ACM
108views Data Mining» more  PAKDD 2004»
11 years 6 months ago
A Metric Approach to Building Decision Trees Based on Goodman-Kruskal Association Index
We introduce a numerical measure on sets of partitions of finite sets that is linked to the Goodman-Kruskal association index commonly used in statistics. This measure allows us t...
Dan A. Simovici, Szymon Jaroszewicz
PAKDD
2004
ACM
127views Data Mining» more  PAKDD 2004»
11 years 6 months ago
Exploiting Recurring Usage Patterns to Enhance Filesystem and Memory Subsystem Performance
In many cases, normal uses of a system form patterns that will repeat. The most common patterns can be collected into a prediction model which will essentially predict that usage p...
Benjamin Rutt, Srinivasan Parthasarathy
PAKDD
2004
ACM
113views Data Mining» more  PAKDD 2004»
11 years 6 months ago
Logistic Regression and Boosting for Labeled Bags of Instances
Abstract. In this paper we upgrade linear logistic regression and boosting to multi-instance data, where each example consists of a labeled bag of instances. This is done by connec...
Xin Xu, Eibe Frank
PAKDD
2004
ACM
127views Data Mining» more  PAKDD 2004»
11 years 6 months ago
Separating Structure from Interestingness
Condensed representations of pattern collections have been recognized to be important building blocks of inductive databases, a promising theoretical framework for data mining, and...
Taneli Mielikäinen
PAKDD
2004
ACM
121views Data Mining» more  PAKDD 2004»
11 years 6 months ago
Secure Association Rule Sharing
Abstract. The sharing of association rules is often beneficial in industry, but requires privacy safeguards. One may decide to disclose only part of the knowledge and conceal stra...
Stanley R. M. Oliveira, Osmar R. Zaïane, Y&uu...
PAKDD
2004
ACM
143views Data Mining» more  PAKDD 2004»
11 years 6 months ago
Compact Dual Ensembles for Active Learning
Generic ensemble methods can achieve excellent learning performance, but are not good candidates for active learning because of their different design purposes. We investigate how...
Amit Mandvikar, Huan Liu, Hiroshi Motoda
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