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» Online summarization of dynamic time series data
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128
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EDBT
2004
ACM
110views Database» more  EDBT 2004»
16 years 2 months ago
Using Convolution to Mine Obscure Periodic Patterns in One Pass
The mining of periodic patterns in time series databases is an interesting data mining problem that can be envisioned as a tool for forecasting and predicting the future behavior o...
Mohamed G. Elfeky, Walid G. Aref, Ahmed K. Elmagar...
VLDB
1999
ACM
133views Database» more  VLDB 1999»
15 years 6 months ago
Online Dynamic Reordering for Interactive Data Processing
We present a pipelining, dynamically usercontrollable reorder operator, for use in dataintensive applications. Allowing the user to reorder the data delivery on the fly increases...
Vijayshankar Raman, Bhaskaran Raman, Joseph M. Hel...
ICDE
2003
IEEE
160views Database» more  ICDE 2003»
16 years 3 months ago
SWAT: Hierarchical Stream Summarization in Large Networks
The problem of statistics and aggregate maintenance over data streams has gained popularity in recent years especially in telecommunications network monitoring, trend-related anal...
Ahmet Bulut, Ambuj K. Singh
108
Voted
DAWAK
2008
Springer
15 years 3 months ago
Mining Serial Episode Rules with Time Lags over Multiple Data Streams
The problem of discovering episode rules from static databases has been studied for years due to its wide applications in prediction. In this paper, we make the first attempt to st...
Tung-Ying Lee, En Tzu Wang, Arbee L. P. Chen
KDD
2009
ACM
207views Data Mining» more  KDD 2009»
16 years 2 months ago
DynaMMo: mining and summarization of coevolving sequences with missing values
Given multiple time sequences with missing values, we propose DynaMMo which summarizes, compresses, and finds latent variables. The idea is to discover hidden variables and learn ...
Lei Li, James McCann, Nancy S. Pollard, Christos F...