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» Applying Temporal Databases to Geographical Data Analysis
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SDM
2012
SIAM
355views Data Mining» more  SDM 2012»
13 years 2 days 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
FUIN
2007
147views more  FUIN 2007»
14 years 9 months ago
Privacy Preserving Database Generation for Database Application Testing
Testing of database applications is of great importance. Although various studies have been conducted to investigate testing techniques for database design, relatively few efforts ...
Xintao Wu, Yongge Wang, Songtao Guo, Yuliang Zheng
COSIT
1997
Springer
115views GIS» more  COSIT 1997»
15 years 1 months ago
Qualitative Representation of Change
Current geographic information systems (GISs) have been designed for querying and maintaining static databases representing static phenomena and give little support to those users ...
Kathleen Hornsby, Max J. Egenhofer
SAC
2004
ACM
15 years 3 months ago
Dynamic on-demand updating of data in real-time database systems
The amount of data handled by real-time and embedded applications is increasing. Also, applications normally have constraints with respect to freshness and timeliness of the data ...
Thomas Gustafsson, Jörgen Hansson
IJON
2008
128views more  IJON 2008»
14 years 9 months ago
Independent arrays or independent time courses for gene expression time series data analysis
In this paper we apply three different independent component analysis (ICA) methods, including spatial ICA (sICA), temporal ICA (tICA), and spatiotemporal ICA (stICA), to gene exp...
Sookjeong Kim, Jong Kyoung Kim, Seungjin Choi