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» Finding Sequential Patterns from Large Sequence Data
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HUC
2011
Springer
13 years 9 months ago
iBAT: detecting anomalous taxi trajectories from GPS traces
GPS-equipped taxis can be viewed as pervasive sensors and the large-scale digital traces produced allow us to reveal many hidden “facts” about the city dynamics and human beha...
Daqing Zhang, Nan Li, Zhi-Hua Zhou, Chao Chen, Lin...
SIGMOD
2003
ACM
121views Database» more  SIGMOD 2003»
15 years 9 months ago
An environmental sensor network to determine drinking water quality and security
Finding patterns in large, real, spatio/temporal data continues to attract high interest (e.g., sales of products over space and time, patterns in mobile phone users; sensor netwo...
Anastassia Ailamaki, Christos Faloutsos, Paul S. F...
99
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EDM
2009
184views Data Mining» more  EDM 2009»
14 years 7 months ago
Process Mining Online Assessment Data
Traditional data mining techniques have been extensively applied to find interesting patterns, build descriptive and predictive models from large volumes of data accumulated throug...
Mykola Pechenizkiy, Nikola Trcka, Ekaterina Vasily...
CIKM
2006
Springer
15 years 1 months ago
TRIPS and TIDES: new algorithms for tree mining
Recent research in data mining has progressed from mining frequent itemsets to more general and structured patterns like trees and graphs. In this paper, we address the problem of...
Shirish Tatikonda, Srinivasan Parthasarathy, Tahsi...
PDPTA
2000
14 years 11 months ago
Evaluation of Neural and Genetic Algorithms for Synthesizing Parallel Storage Schemes
Exploiting compile time knowledge to improve memory bandwidth can produce noticeable improvements at run-time [13, 1]. Allocating the data structure [13] to separate memories when...
Mayez A. Al-Mouhamed, Husam Abu-Haimed