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CORR
2010
Springer
186views Education» more  CORR 2010»
13 years 9 months ago
Significant Interval and Frequent Pattern Discovery in Web Log Data
There is a considerable body of work on sequence mining of Web Log Data We are using One Pass frequent Episode discovery (or FED) algorithm, takes a different approach than the tr...
Kanak Saxena, Rahul Shukla
KES
2006
Springer
13 years 9 months ago
Predicting Cluster Formation in Decentralized Sensor Grids
This paper investigates cluster formation in decentralized sensor grids and focusses on predicting when the cluster formation converges to a stable configuration. The traffic volum...
Astrid Zeman, Mikhail Prokopenko
CSSC
2008
77views more  CSSC 2008»
13 years 9 months ago
Undercoverage of Wavelet-Based Resampling Confidence Intervals
The decorrelating property of the discrete wavelet transformation (DWT) appears valuable because one can avoid estimating the correlation structure in the original data space by b...
Liansheng Tang, Wayne A. Woodward, William R. Schu...
ICDM
2006
IEEE
140views Data Mining» more  ICDM 2006»
14 years 3 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...
KDD
2005
ACM
127views Data Mining» more  KDD 2005»
14 years 10 months ago
Detection of emerging space-time clusters
We propose a new class of spatio-temporal cluster detection methods designed for the rapid detection of emerging space-time clusters. We focus on the motivating application of pro...
Daniel B. Neill, Andrew W. Moore, Maheshkumar Sabh...