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» Self-Similar Mining of Time Association Rules
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PAKDD
2004
ACM
94views Data Mining» more  PAKDD 2004»
13 years 10 months ago
Self-Similar Mining of Time Association Rules
Although the task of mining association rules has received considerable attention in the literature, algorithms to find time association rules are often inadequate, by either miss...
Daniel Barbará, Ping Chen, Zohreh Nazeri
ICOST
2011
Springer
12 years 8 months ago
Using Association Rule Mining to Discover Temporal Relations of Daily Activities
The increasing aging population has inspired many machine learning researchers to find innovative solutions for assisted living. A problem often encountered in assisted living set...
Ehsan Nazerfard, Parisa Rashidi, Diane J. Cook
IDEAL
2009
Springer
13 years 11 months ago
Quantitative Association Rules Applied to Climatological Time Series Forecasting
M. Martínez-Ballesteros, Francisco Mart&iac...
ICDM
2006
IEEE
140views Data Mining» more  ICDM 2006»
13 years 10 months ago
Mining the Future: Predicting Itemsets' Support of Association Rules Mining
This paper proposes a novel research dimension in the field of data mining, which is mining the future data before its arrival, or in other words: predicting association rules ahe...
Shenoda Guirguis, Khalil M. Ahmed, Nagwa M. El-Mak...
ICMCS
2009
IEEE
199views Multimedia» more  ICMCS 2009»
13 years 2 months ago
Association rule mining in multiple, multidimensional time series medical data
Time series pattern mining (TSPM) finds correlations or dependencies in same series or in multiple time series. When the numerous instances of multiple time series data are associ...
Gaurav N. Pradhan, B. Prabhakaran