166 search results - page 13 / 34 » Mining High Utility Itemsets in Big Data |
VLDB
2001
ACM
15 years 2 months ago
2001
ACM
Constrained gradient analysis (similar to the “cubegrade” problem posed by Imielinski, et al. [9]) is to extract pairs of similar cell characteristics associated with big chan...
CIKM
2006
Springer
15 years 2 months ago
2006
Springer
Recent research in data mining has progressed from mining frequent itemsets to more general and structured patterns like trees and graphs. In this paper, we address the problem of...
CIKM
2001
Springer
15 years 2 months ago
2001
Springer
We explore in this paper an effective sliding-window filtering (abbreviatedly as SWF) algorithm for incremental mining of association rules. In essence, by partitioning a transact...
101
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DASFAA
2004
IEEE
15 years 2 months ago
2004
IEEE
Data mining is a process that analyzes voluminous digital data in order to discover hidden but useful patterns from digital data. However, discovery of such hidden patterns has sta...
107
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APBC
2006
14 years 11 months ago
2006
: The rapid growth of biological databases not only provides biologists with abundant data but also presents a big challenge in relation to the analysis of data. Many data analysis...