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OTM
2005
Springer
16 years 7 days ago
OWL-Based User Preference and Behavior Routine Ontology for Ubiquitous System
In ubiquitous computing, behavior routine learning is the process of mining the context-aware data to find interesting rules on the user’s behavior, while preference learning tri...
Kim Anh Pham Ngoc, Young-Koo Lee, Sungyoung Lee
PAKDD
2005
ACM
94views Data Mining» more  PAKDD 2005»
16 years 7 days ago
Progressive Sampling for Association Rules Based on Sampling Error Estimation
We explore in this paper a progressive sampling algorithm, called Sampling Error Estimation (SEE), which aims to identify an appropriate sample size for mining association rules. S...
Kun-Ta Chuang, Ming-Syan Chen, Wen-Chieh Yang
PAKDD
2005
ACM
124views Data Mining» more  PAKDD 2005»
16 years 7 days ago
Finding Sporadic Rules Using Apriori-Inverse
We define sporadic rules as those with low support but high confidence: for example, a rare association of two symptoms indicating a rare disease. To find such rules using the w...
Yun Sing Koh, Nathan Rountree
PAKDD
2005
ACM
112views Data Mining» more  PAKDD 2005»
16 years 7 days ago
Approximated Clustering of Distributed High-Dimensional Data
In many modern application ranges high-dimensional feature vectors are used to model complex real-world objects. Often these objects reside on different local sites. In this paper,...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...
PATMOS
2005
Springer
16 years 7 days ago
Design of Variable Input Delay Gates for Low Dynamic Power Circuits
The time taken for a CMOS logic gate output to change after one or more inputs have changed is called the output delay of the gate. A conventional multi-input CMOS gate is designed...
Tezaswi Raja, Vishwani D. Agrawal, Michael L. Bush...
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