PAKDD
2007
ACM
14 years 6 months ago
2007
ACM
When companies seek for the combination of products which can constantly generate high profit, the association rule mining (ARM) or the utility mining will not achieve such task. ...
PAKDD
2007
ACM
14 years 6 months ago
2007
ACM
Catching the recent trend of data is an important issue when mining frequent itemsets from data streams. To prevent from storing the whole transaction data within the sliding windo...
PAKDD
2007
ACM
14 years 6 months ago
2007
ACM
We present a framework for mining frequent trajectories, which are translated and/or rotated with respect to one another. We then discuss a multiresolution methodology, based on th...
PAKDD
2007
ACM
14 years 6 months ago
2007
ACM
Privacy-preserving data mining techniques could encourage health data custodians to provide accurate information for mining by ensuring that the data mining procedures and results ...
PAKDD
2007
ACM
14 years 6 months ago
2007
ACM
A mobile node in ad hoc networks may move arbitrarily and acts as a router and a host simultaneously. Such a characteristic makes nodes in MANET vulnerable to potential attacks. Th...
PAKDD
2007
ACM
14 years 6 months ago
2007
ACM
While null space based linear discriminant analysis (NLDA) obtains a good discriminant performance, the ability easily suffers from an implicit assumption of Gaussian model with sa...
PAKDD
2007
ACM
14 years 6 months ago
2007
ACM
This work presents a kernel method for clustering the nodes of a weighted, undirected, graph. The algorithm is based on a two-step procedure. First, the sigmoid commute-time kernel...
PAKDD
2007
ACM
14 years 6 months ago
2007
ACM
Abstract. In our previous studies, Genetic Programming (GP), Probabilistic Incremental Program Evolution (PIPE) and Ant Programming (AP) have been used to optimal design of Flexibl...
PAKDD
2007
ACM
14 years 6 months ago
2007
ACM
Abstract. Contrast set mining aims at finding differences between different groups. This paper shows that a contrast set mining task can be transformed to a subgroup discovery ta...
PAKDD
2007
ACM
14 years 6 months ago
2007
ACM
In this study, we propose a novel evolutionary algorithm-based clustering method, named density-sensitive evolutionary clustering (DSEC). In DSEC, each individual is a sequence of ...