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PKDD
2005
Springer
138views Data Mining» more  PKDD 2005»
14 years 3 months ago
Indexed Bit Map (IBM) for Mining Frequent Sequences
Sequential pattern mining has been an emerging problem in data mining. In this paper, we propose a new algorithm for mining frequent sequences. It processes only one scan of the da...
Lionel Savary, Karine Zeitouni
SPIESR
2004
196views Database» more  SPIESR 2004»
13 years 11 months ago
Video mining using combinations of unsupervised and supervised learning techniques
We discuss the meaning and significance of the video mining problem, and present our work on some aspects of video mining. A simple definition of video mining is unsupervised disc...
Ajay Divakaran, Koji Miyahara, Kadir A. Peker, Reg...
CORR
2004
Springer
146views Education» more  CORR 2004»
13 years 10 months ago
Mining Frequent Itemsets from Secondary Memory
Mining frequent itemsets is at the core of mining association rules, and is by now quite well understood algorithmically for main memory databases. In this paper, we investigate a...
Gösta Grahne, Jianfei Zhu
SIGUCCS
2003
ACM
14 years 3 months ago
It takes a village to build an image
Managing operating systems and campus-supported software can be a daunting challenge. Many colleges and universities handle these challenges by using disk imaging software to crea...
R. Mark Koan, Kelly Caye, Steven K. Brawn
KDD
2004
ACM
207views Data Mining» more  KDD 2004»
14 years 10 months ago
SPIN: mining maximal frequent subgraphs from graph databases
One fundamental challenge for mining recurring subgraphs from semi-structured data sets is the overwhelming abundance of such patterns. In large graph databases, the total number ...
Jun Huan, Wei Wang 0010, Jan Prins, Jiong Yang