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» Periodic Pattern Analysis in Time Series Databases
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RECOMB
2002
Springer
15 years 10 months ago
A new approach to analyzing gene expression time series data
We present algorithms for time-series gene expression analysis that permit the principled estimation of unobserved timepoints, clustering, and dataset alignment. Each expression p...
Ziv Bar-Joseph, Georg Gerber, David K. Gifford, To...
55
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IGARSS
2010
14 years 7 months ago
Using Gradient Pattern Analysis for land use and land cover change detection
In this work, the computational operation based on Gradient Pattern Analysis - GPA was applied for the first time in MODIS spatial-temporal images over the Amazon region. The stud...
Ramon Morais de Freitas, Reinaldo R. Rosa, Yosio E...
CIKM
2009
Springer
15 years 28 days ago
Mining data streams with periodically changing distributions
Dynamic data streams are those whose underlying distribution changes over time. They occur in a number of application domains, and mining them is important for these applications....
Yingying Tao, M. Tamer Özsu
KDD
2009
ACM
181views Data Mining» more  KDD 2009»
15 years 4 months ago
An exploration of climate data using complex networks
To discover patterns in historical data, climate scientists have applied various clustering methods with the goal of identifying regions that share some common climatological beha...
Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. ...
TKDE
2008
218views more  TKDE 2008»
14 years 9 months ago
A General Model for Sequential Pattern Mining with a Progressive Database
Although there have been many recent studies on the mining of sequential patterns in a static database and in a database with increasing data, these works, in general, do not fully...
Jen-Wei Huang, Chi-Yao Tseng, Jian Chih Ou, Ming-S...