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PPOPP
2005
ACM
15 years 8 months ago
A sampling-based framework for parallel data mining
The goal of data mining algorithm is to discover useful information embedded in large databases. Frequent itemset mining and sequential pattern mining are two important data minin...
Shengnan Cong, Jiawei Han, Jay Hoeflinger, David A...
ICDE
2010
IEEE
750views Database» more  ICDE 2010»
15 years 6 months ago
Efficient and accurate discovery of patterns in sequence datasets
Existing sequence mining algorithms mostly focus on mining for subsequences. However, a large class of applications, such as biological DNA and protein motif mining, require effici...
Avrilia Floratou, Sandeep Tata, Jignesh M. Patel
117
Voted
PAKDD
2007
ACM
184views Data Mining» more  PAKDD 2007»
15 years 8 months ago
Exploring Group Moving Pattern for an Energy-Constrained Object Tracking Sensor Network
In this paper, we investigate and utilize the characteristic of the group movement of objects to achieve energy conservation in the inherently resource-constrained wireless object ...
Hsiao-Ping Tsai, De-Nian Yang, Wen-Chih Peng, Ming...
AUSDM
2006
Springer
110views Data Mining» more  AUSDM 2006»
15 years 6 months ago
Discovering Debtor Patterns of Centrelink Customers
Data mining is currently becoming an increasingly hot research field, but a large gap still remains between the research of data mining and its application in real-world business....
Yanchang Zhao, Longbing Cao, Yvonne Morrow, Yuming...
IAT
2006
IEEE
15 years 8 months ago
A Storage Management for Mining Object Moving Patterns in Object Tracking Sensor Networks
One promising application of sensor networks is object tracking. Because the movements of the tracked objects usually show repeating patterns, we propose a heterogeneous tracking ...
Chih-Chieh Hung, Wen-Chih Peng