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» A Data Stream Mining System
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EDBT
2004
ACM
110views Database» more  EDBT 2004»
16 years 4 months ago
Using Convolution to Mine Obscure Periodic Patterns in One Pass
The mining of periodic patterns in time series databases is an interesting data mining problem that can be envisioned as a tool for forecasting and predicting the future behavior o...
Mohamed G. Elfeky, Walid G. Aref, Ahmed K. Elmagar...
PAKDD
1998
ACM
103views Data Mining» more  PAKDD 1998»
15 years 8 months ago
Discovering Case Knowledge Using Data Mining
The use of Data Mining in removing current bottlenecks within Case-based Reasoning (CBR) systems is investigated along with the possible role of CBR in providing a knowledge manag...
Sarabjot S. Anand, David W. Patterson, John G. Hug...
SAC
2008
ACM
15 years 4 months ago
Frequent pattern mining for kernel trace data
Operating systems engineers have developed tracing tools that log details about process execution at the kernel level. These tools make it easier to understand the actual executio...
Christopher LaRosa, Li Xiong, Ken Mandelberg
NIPS
2008
15 years 6 months ago
One sketch for all: Theory and Application of Conditional Random Sampling
Conditional Random Sampling (CRS) was originally proposed for efficiently computing pairwise (l2, l1) distances, in static, large-scale, and sparse data. This study modifies the o...
Ping Li, Kenneth Ward Church, Trevor Hastie
CIDR
2007
92views Algorithms» more  CIDR 2007»
15 years 6 months ago
Consistent Streaming Through Time: A Vision for Event Stream Processing
Event processing will play an increasingly important role in constructing enterprise applications that can immediately react to business critical events. Various technologies have...
Roger S. Barga, Jonathan Goldstein, Mohamed H. Ali...