Sciweavers

ICDE
2010
IEEE
198views Database» more  ICDE 2010»
14 years 1 months ago
Power-aware data analysis in sensor networks
Abstract— Sensor networks have evolved to a powerful infrastructure component for event monitoring in many application scenarios. In addition to simple filter and aggregation op...
Daniel Klan, Katja Hose, Marcel Karnstedt, Kai-Uwe...
WLP
2004
Springer
14 years 2 months ago
SQL Based Frequent Pattern Mining with FP-Growth
Scalable data mining in large databases is one of today’s real challenges to database research area. The integration of data mining with database systems is an essential componen...
Xuequn Shang, Kai-Uwe Sattler, Ingolf Geist
PKDD
2004
Springer
324views Data Mining» more  PKDD 2004»
14 years 2 months ago
Orange: From Experimental Machine Learning to Interactive Data Mining
Abstract. Orange (www.ailab.si/orange) is a suite for machine learning and data mining. It can be used though scripting in Python or with visual programming in Orange Canvas using ...
Janez Demsar, Blaz Zupan, Gregor Leban, Tomaz Curk
PAKDD
2004
ACM
100views Data Mining» more  PAKDD 2004»
14 years 2 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»
14 years 2 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»
14 years 2 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»
14 years 2 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»
14 years 2 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»
14 years 2 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