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» Mining Very Large Databases
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133
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SIGMOD
2003
ACM
121views Database» more  SIGMOD 2003»
16 years 3 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...
124
Voted
HICSS
2000
IEEE
169views Biometrics» more  HICSS 2000»
15 years 8 months ago
A Software System for Spatial Data Analysis and Modeling
Advances in geographical information systems (GIS) and supporting data collection technology has resulted in the rapid collection of a huge amount of spatial data. However, known ...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic
236
Voted
ICDE
2007
IEEE
182views Database» more  ICDE 2007»
16 years 5 months ago
Discriminative Frequent Pattern Analysis for Effective Classification
The application of frequent patterns in classification appeared in sporadic studies and achieved initial success in the classification of relational data, text documents and graph...
Hong Cheng, Xifeng Yan, Jiawei Han, Chih-Wei Hsu
125
Voted
SAC
2006
ACM
15 years 9 months ago
Looking for monotonicity properties of a similarity constraint on sequences
Constraint-based mining techniques on sequence databases have been studied extensively the last few years and efficient algorithms enable to compute complete collections of patte...
Ieva Mitasiunaite, Jean-François Boulicaut
123
Voted
SSD
2005
Springer
173views Database» more  SSD 2005»
15 years 9 months ago
On Discovering Moving Clusters in Spatio-temporal Data
A moving cluster is defined by a set of objects that move close to each other for a long time interval. Real-life examples are a group of migrating animals, a convoy of cars movin...
Panos Kalnis, Nikos Mamoulis, Spiridon Bakiras