ICDM
2002
IEEE
14 years 4 months ago
2002
IEEE
In this paper we present a novel Incremental Hierarchical Clustering (IHC) algorithm. Our approach aims to construct a hierarchy that satisfies the homogeneity and the monotonici...
ICDM
2002
IEEE
14 years 4 months ago
2002
IEEE
One of the problems with existing clustering methods is that the interpretation of clusters may be difficult. Two different approaches have been used to solve this problem: conce...
ICDM
2002
IEEE
14 years 4 months ago
2002
IEEE
Temporal data mining aims at finding patterns in historical data. Our work proposes an approach to extract temporal patterns from data to predict the occurrence of target events,...
ICDM
2002
IEEE
14 years 4 months ago
2002
IEEE
Segmentation is a popular technique for discovering structure in time series data. We address the largely open problem of estimating the number of segments that can be reliably di...
ICDM
2002
IEEE
14 years 4 months ago
2002
IEEE
ICDM
2002
IEEE
14 years 4 months ago
2002
IEEE
ICDM
2002
IEEE
14 years 4 months ago
2002
IEEE
Association rule mining is an important data mining problem. It is found to be useful for conventional relational data. However, previous work has mostly targeted on mining a sing...
ICDM
2002
IEEE
14 years 4 months ago
2002
IEEE
In view of the substantial number of existing feature selection algorithms, the need arises to count on criteria that enables to adequately decide which algorithm to use in certai...
ICDM
2002
IEEE
14 years 4 months ago
2002
IEEE
We describe an efficient framework for Web personalization based on sequential and non-sequential pattern discovery from usage data. Our experimental results performed on real us...
ICDM
2002
IEEE
14 years 4 months ago
2002
IEEE
Clustering large data sets of high dimensionality has always been a serious challenge for clustering algorithms. Many recently developed clustering algorithms have attempted to ad...