10 search results - page 1 / 2 » gPrune: A Constraint Pushing Framework for Graph Pattern Min... |
PAKDD
2007
ACM
14 years 5 months ago
2007
ACM
In graph mining applications, there has been an increasingly strong urge for imposing user-specified constraints on the mining results. However, unlike most traditional itemset co...
JIIS
2007
13 years 11 months ago
2007
Constraints are essential for many sequential pattern mining applications. However, there is no systematic study on constraint-based sequential pattern mining. In this paper, we in...
DATAMINE
2010
13 years 11 months ago
2010
In this article we show that there is a strong connection between decision tree learning and local pattern mining. This connection allows us to solve the computationally hard probl...
KDD
2005
ACM
14 years 11 months ago
2005
ACM
The problem of finding frequent patterns from graph-based datasets is an important one that finds applications in drug discovery, protein structure analysis, XML querying, and soc...
VLDB
2000
ACM
14 years 2 months ago
2000
ACM
Interesting patterns often occur at varied levels of support. The classic association mining based on a uniform minimum support, such as Apriori, either misses interesting pattern...