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» Computing LTS Regression for Large Data Sets
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AUSDM
2006
Springer
118views Data Mining» more  AUSDM 2006»
15 years 5 months ago
Efficiently Identifying Exploratory Rules' Significance
How to efficiently discard potentially uninteresting rules in exploratory rule discovery is one of the important research foci in data mining. Many researchers have presented algor...
Shiying Huang, Geoffrey I. Webb
BCSHCI
2007
15 years 3 months ago
Visualising Bluetooth interactions: combining the Arc diagram and DocuBurst techniques
Within the Bluetooth mobile space, overwhelmingly large sets of interaction and encounter data can very quickly be accumulated. This presents a challenge to gaining an understandi...
Daragh Byrne, Barry Lavelle, Gareth J. F. Jones, A...
109
Voted
COR
2008
164views more  COR 2008»
15 years 1 months ago
Observations in using parallel and sequential evolutionary algorithms for automatic software testing
In this paper we analyze the application of parallel and sequential evolutionary algorithms (EAs) to the automatic test data generation problem. The problem consists of automatica...
Enrique Alba, J. Francisco Chicano
120
Voted
TVCG
1998
121views more  TVCG 1998»
15 years 1 months ago
Interactive Volume Navigation
—Volume navigation is the interactive exploration of volume data sets by “flying” the viewpoint through the data, producing a volume rendered view at each frame. We present a...
Martin L. Brady, Kenneth K. Jung, H. T. Nguyen, Th...
PERCOM
2007
ACM
16 years 1 months ago
Mining Frequent Trajectory Patterns for Activity Monitoring Using Radio Frequency Tag Arrays
Activity monitoring, a crucial task in many applications, is often conducted expensively using video cameras. Also, effectively monitoring a large field by analyzing images from m...
Yunhao Liu, Lei Chen 0002, Jian Pei, Qiuxia Chen, ...