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» Mining Interval Time Series
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DAWAK
1999
Springer
14 years 1 months ago
Mining Interval Time Series
Data mining can be used to extensively automate the data analysis process. Techniques for mining interval time series, however, have not been considered. Such time series are commo...
Roy Villafane, Kien A. Hua, Duc A. Tran, Basab Mau...
JIIS
2000
119views more  JIIS 2000»
13 years 9 months ago
Knowledge Discovery from Series of Interval Events
Knowledge discovery from data sets can be extensively automated by using data mining software tools. Techniques for mining series of interval events, however, have not been conside...
Roy Villafane, Kien A. Hua, Duc A. Tran, Basab Mau...
KDD
2006
ACM
228views Data Mining» more  KDD 2006»
14 years 10 months ago
Algorithms for time series knowledge mining
Temporal patterns composed of symbolic intervals are commonly formulated with Allen's interval relations originating in temporal reasoning. This representation has severe dis...
Fabian Mörchen
SDM
2007
SIAM
171views Data Mining» more  SDM 2007»
13 years 11 months ago
A Better Alternative to Piecewise Linear Time Series Segmentation
Time series are difficult to monitor, summarize and predict. Segmentation organizes time series into few intervals having uniform characteristics (flatness, linearity, modality,...
Daniel Lemire
SDM
2012
SIAM
355views Data Mining» more  SDM 2012»
12 years 6 hour ago
Granger Causality Analysis in Irregular Time Series
Learning temporal causal structures between time series is one of the key tools for analyzing time series data. In many real-world applications, we are confronted with Irregular T...
Mohammad Taha Bahadori, Yan Liu