10 search results - page 1 / 2 » gPrune: A Constraint Pushing Framework for Graph Pattern Min... |
PAKDD
2007
ACM
13 years 10 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 4 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 4 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 5 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
13 years 8 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...