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» Fast approximate correlation for massive time-series data
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ICDE
2002
IEEE
126views Database» more  ICDE 2002»
14 years 9 months ago
Fast Mining of Massive Tabular Data via Approximate Distance Computations
Graham Cormode, Piotr Indyk, Nick Koudas, S. Muthu...
CIKM
2006
Springer
13 years 11 months ago
Mining compressed commodity workflows from massive RFID data sets
Radio Frequency Identification (RFID) technology is fast becoming a prevalent tool in tracking commodities in supply chain management applications. The movement of commodities thr...
Hector Gonzalez, Jiawei Han, Xiaolei Li
PKDD
2005
Springer
159views Data Mining» more  PKDD 2005»
14 years 1 months ago
Fast Burst Correlation of Financial Data
We examine the problem of monitoring and identification of correlated burst patterns in multi-stream time series databases. Our methodology is comprised of two steps: a burst dete...
Michail Vlachos, Kun-Lung Wu, Shyh-Kwei Chen, Phil...
KDD
2002
ACM
182views Data Mining» more  KDD 2002»
14 years 8 months ago
ANF: a fast and scalable tool for data mining in massive graphs
Graphs are an increasingly important data source, with such important graphs as the Internet and the Web. Other familiar graphs include CAD circuits, phone records, gene sequences...
Christopher R. Palmer, Phillip B. Gibbons, Christo...
SPIRE
2009
Springer
14 years 2 months ago
Sketching Algorithms for Approximating Rank Correlations in Collaborative Filtering Systems
Collaborative filtering (CF) shares information between users to provide each with recommendations. Previous work suggests using sketching techniques to handle massive data sets i...
Yoram Bachrach, Ralf Herbrich, Ely Porat