SAC
2005
ACM
14 years 2 months ago
2005
ACM
Using visualization techniques to assist conventional data mining tasks has attracted considerable interest in recent years. This paper addresses a challenging issue in the use of...
PPOPP
2005
ACM
14 years 2 months ago
2005
ACM
The goal of data mining algorithm is to discover useful information embedded in large databases. Frequent itemset mining and sequential pattern mining are two important data minin...
IQIS
2005
ACM
14 years 2 months ago
2005
ACM
Researchers in the data mining area frequently have to spend significant portion of their time on preprocessing the data in order to apply their algorithms to real-world datasets...
SAINT
2005
IEEE
14 years 2 months ago
2005
IEEE
Basket Analysis is mathematically characterized and extended to search families of sets in this paper. These theories indicate the possibility of various new approaches of data mi...
ISM
2005
IEEE
14 years 2 months ago
2005
IEEE
— For efficient video data management, ‘video data mining’ is required to discover ‘semantic patterns’ which are not only previously unknown and interesting, but also as...
IRI
2005
IEEE
14 years 2 months ago
2005
IEEE
- Security is becoming a critical part of organizational information systems. Intrusion Detection System (IDS) is an important detection that is used as a countermeasure to preserv...
ICDM
2005
IEEE
14 years 2 months ago
2005
IEEE
In this paper, we present an algorithm that can classify large-scale text data with high classification quality and fast training speed. Our method is based on a novel extension o...
ICDM
2005
IEEE
14 years 2 months ago
2005
IEEE
Spatial co-location patterns represent the subsets of features whose instances are frequently located together in geographic space. Co-location pattern discovery presents challeng...
ICDM
2005
IEEE
14 years 2 months ago
2005
IEEE
We present a novel approach for clustering sequences of multi-dimensional trajectory data obtained from a sensor network. The sensory time-series data present new challenges to da...
ICDM
2005
IEEE
14 years 2 months ago
2005
IEEE
In practice, learning from data is often hampered by the limited training examples. In this paper, as the size of training data varies, we empirically investigate several probabil...