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IJISTA
2008
95views more  IJISTA 2008»
14 years 11 months ago
Mining manufacturing data using genetic algorithm-based feature set decomposition
Data mining methods can be used for discovering interesting patterns in manufacturing databases. These patterns can be used to improve manufacturing processes. However, data accum...
Lior Rokach
DAMON
2009
Springer
15 years 5 months ago
Evaluating and repairing write performance on flash devices
In the last few years NAND flash storage has become more and more popular as price per GB and capacity both improve at exponential rates. Flash memory offers significant bene...
Radu Stoica, Manos Athanassoulis, Ryan Johnson, An...
INFOCOM
2010
IEEE
14 years 9 months ago
Scalable NIDS via Negative Pattern Matching and Exclusive Pattern Matching
i In this paper, we identify the unique challenges in deploying parallelism on TCAM-based pattern matching for Network Intrusion Detection Systems (NIDSes). We resolve two critica...
Kai Zheng, Xin Zhang, Zhiping Cai, Zhijun Wang, Ba...
HICSS
2003
IEEE
171views Biometrics» more  HICSS 2003»
15 years 4 months ago
Improving the Efficiency of Interactive Sequential Pattern Mining by Incremental Pattern Discovery
The discovery of sequential patterns, which extends beyond frequent item-set finding of association rule mining, has become a challenging task due to its complexity. Essentially, ...
Ming-Yen Lin, Suh-Yin Lee
FGR
2004
IEEE
133views Biometrics» more  FGR 2004»
15 years 2 months ago
Finding Temporal Patterns by Data Decomposition
We present a new unsupervised learning technique for the discovery of temporal clusters in large data sets. Our method performs hierarchical decomposition of the data to find stru...
David C. Minnen, Christopher Richard Wren