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UCR Database Lab
Current research include efficient indexing techniques for moving points, approximating range queries, similarity searching in sequence databases, local adaptive classification techniques, information retrieval in peer-to-peer systems, and analysis of sensor data.
Some of our most recent work includes results on peer-to-peer databasas, complex spatio-temporal pattern queries, and tools for visualizing and data mining medical time series.
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Eamonn Keogh has created a time series repository for the data mining/machine learning community, to encourage reproducible research for time series classification and clustering. Webpage
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Marios Hadjieleftheriou has created a Spatial Index Library which provides a general framework for developing spatial indices. Currently it defines generic interfaces, provides simple main memory and disk based storage managers and a robust implementation of an R*-tree, an MVR-tree and a TPR-tree. Webpage
Recent Publications
Song Lin, Benjamin Arai, Dimitrios Gunopulos, Gautam Das.
Region Sampling: Continuous Adaptive Sampling on Sensor Networks,
IEEE International Conference on Data Engineering (ICDE)
2008.
[Download]
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Petko Bakalov, Erik G. Hoel, Wee-Liang Heng, Vassilis J. Tsotras.
Maintaining Connectivity in Dynamic Multimodal Network Models,
ICDE: 1267-1276
2008.
[Download]
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Petko Bakalov, Vassilis J. Tsotras.
A Generic Framework for Continuous Motion Pattern Query Evaluation,
ICDE: 80-89
2008.
[Download]
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