KDD
1997
ACM
14 years 3 months ago
1997
ACM
Discovery of association rules is an important problem in database mining. In this paper we present new algorithms for fast association mining, which scan the database only once, ...
KDD
1997
ACM
14 years 3 months ago
1997
ACM
This paper presents an autonomous algorithm for discovering exception rules from data sets. An exception rule, which is defined as a deviational pattern to a well-known fact, exhi...
KDD
1997
ACM
14 years 3 months ago
1997
ACM
KDD
1997
ACM
14 years 3 months ago
1997
ACM
In this paper, we employ a novel approach to metarule-guided, multi-dimensional association rule mining which explores a data cube structure. We propose algorithms for metarule-gu...
KDD
1997
ACM
14 years 3 months ago
1997
ACM
KDD
1997
ACM
14 years 3 months ago
1997
ACM
We address the problem of nding useful regions for two-dimensional association rules and decision trees. In a previous paper we presented ecient algorithms for computing optimiz...
KDD
1997
ACM
14 years 3 months ago
1997
ACM
KDD
1997
ACM
14 years 3 months ago
1997
ACM
We present a novel data mining approach based on decomposition. In order to analyze a given dataset, the method decomposes it to a hierarchy of smaller and less complex datasets t...
KDD
1997
ACM
14 years 3 months ago
1997
ACM
KDD
1997
ACM
14 years 3 months ago
1997
ACM
KDD (Knowledge Discovery in Databases) processhas become a new and important research area. Within the framework of KDD process and the GLS (Global Learning Scheme) system recentl...