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» Algorithms for time series knowledge mining
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ICDM
2003
IEEE
125views Data Mining» more  ICDM 2003»
15 years 9 months ago
Improving Home Automation by Discovering Regularly Occurring Device Usage Patterns
The data stream captured by recording inhabitantdevice interactions in an environment can be mined to discover significant patterns, which an intelligent agent could use to automa...
Edwin O. Heierman III, Diane J. Cook
ICDM
2009
IEEE
161views Data Mining» more  ICDM 2009»
15 years 1 months ago
Understanding Climate Change Patterns with Multivariate Geovisualization
Climate change has been a challenging and urgent research problem for many related research fields. Climate change trends and patterns are complex, which may involve many factors a...
Hai Jin, Diansheng Guo
IEAAIE
2000
Springer
15 years 7 months ago
Dynamic Data Mining
Business information received from advanced data analysis and data mining is a critical success factor for companies wishing to maximize competitive advantage. The use of tradition...
Vijay V. Raghavan, Aladdin Hafez
142
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BMCBI
2010
153views more  BMCBI 2010»
15 years 3 months ago
Automatic symptom name normalization in clinical records of traditional Chinese medicine
Background: In recent years, Data Mining technology has been applied more than ever before in the field of traditional Chinese medicine (TCM) to discover regularities from the exp...
Yaqiang Wang, Zhonghua Yu, Yongguang Jiang, Kaikuo...
KDD
2009
ACM
230views Data Mining» more  KDD 2009»
15 years 8 months ago
Grouped graphical Granger modeling methods for temporal causal modeling
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Ros...