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128
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IDA
2007
Springer
15 years 2 months ago
Anomaly detection in data represented as graphs
An important area of data mining is anomaly detection, particularly for fraud. However, little work has been done in terms of detecting anomalies in data that is represented as a g...
William Eberle, Lawrence B. Holder
TKDE
2008
137views more  TKDE 2008»
15 years 2 months ago
Nonthreshold-Based Event Detection for 3D Environment Monitoring in Sensor Networks
Event detection is a crucial task for wireless sensor network applications, especially environment monitoring. Existing approaches for event detection are mainly based on some pred...
Mo Li, Yunhao Liu, Lei Chen 0002
111
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WAIM
2010
Springer
15 years 29 days ago
Hotspot District Trajectory Prediction
Trajectory prediction (TP) of moving objects has grown rapidly to be a new exciting paradigm. However, existing prediction algorithms mainly employ kinematical models to approximat...
Hongjun Li, Changjie Tang, Shaojie Qiao, Yue Wang,...
208
Voted
PRL
2011
14 years 5 months ago
A Bayes-true data generator for evaluation of supervised and unsupervised learning methods
Benchmarking pattern recognition, machine learning and data mining methods commonly relies on real-world data sets. However, there are some disadvantages in using real-world data....
Janick V. Frasch, Aleksander Lodwich, Faisal Shafa...
138
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JSS
2010
150views more  JSS 2010»
15 years 1 months ago
Towards a general purpose architecture for UI generation
Many software projects spend a significant proportion of their time developing the User Interface (UI), therefore any degree of automation in this area has clear benefits. Such au...
Richard Kennard, John Leaney