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ACMSE
2009
ACM
16 years 1 months ago
A hybrid approach to mining frequent sequential patterns
The mining of frequent sequential patterns has been a hot and well studied area—under the broad umbrella of research known as KDD (Knowledge Discovery and Data Mining)— for we...
Erich Allen Peterson, Peiyi Tang
IJCNN
2007
IEEE
16 years 1 months ago
An Associative Memory for Association Rule Mining
— Association Rule Mining is a thoroughly studied problem in Data Mining. Its solution has been aimed for by approaches based on different strategies involving, for instance, the...
Vicente O. Baez-Monroy, Simon O'Keefe
ICDM
2006
IEEE
154views Data Mining» more  ICDM 2006»
16 years 1 months ago
Mining and Predicting Duplication over Peer-to-Peer Query Streams
Many previous works of data mining user queries in Peer-to-Peer systems focused their attention on the distribution of query contents. However, few has been done towards a better ...
Shicong Meng, Yifeng Shao, Cong Shi, Dingyi Han, Y...
DEXA
2001
Springer
112views Database» more  DEXA 2001»
15 years 11 months ago
An Information-Driven Framework for Image Mining
Image mining systems that can automatically extract semantically meaningful information (knowledge) from image data are increasingly in demand. The fundamental challenge in image m...
Ji Zhang, Wynne Hsu, Mong-Li Lee
TKDE
2012
229views Formal Methods» more  TKDE 2012»
13 years 9 months ago
Effective Pattern Discovery for Text Mining
—Many data mining techniques have been proposed for mining useful patterns in text documents. However, how to effectively use and update discovered patterns is still an open rese...
Ning Zhong, Yuefeng Li, Sheng-Tang Wu