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PKDD
1998
Springer
123views Data Mining» more  PKDD 1998»
15 years 9 months ago
Querying Inductive Databases: A Case Study on the MINE RULE Operator
Knowledge discovery in databases (KDD) is a process that can include steps like forming the data set, data transformations, discovery of patterns, searching for exceptions to a pat...
Jean-François Boulicaut, Mika Klemettinen, ...
KDD
2008
ACM
246views Data Mining» more  KDD 2008»
16 years 6 months ago
Direct mining of discriminative and essential frequent patterns via model-based search tree
Frequent patterns provide solutions to datasets that do not have well-structured feature vectors. However, frequent pattern mining is non-trivial since the number of unique patter...
Wei Fan, Kun Zhang, Hong Cheng, Jing Gao, Xifeng Y...
AIME
2003
Springer
15 years 10 months ago
Multi-relational Data Mining in Medical Databases
Abstract. This paper presents the application of a method for mining data in a multi-relational database that contains some information about patients strucked down by chronic hepa...
Amaury Habrard, Marc Bernard, François Jacq...
PKDD
2000
Springer
159views Data Mining» more  PKDD 2000»
15 years 9 months ago
An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data
Abstract. This paper proposes a novel approach named AGM to eciently mine the association rules among the frequently appearing substructures in a given graph data set. A graph tran...
Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda
CMG
2001
15 years 7 months ago
Effective Use of the KDD Process and Data Mining for Computer Performance Professionals
- The KDD (Knowledge Discovery in Databases) paradigm is a step by step process for finding interesting patterns in large amounts of data. Data mining is one step in the process. T...
Susan P. Imberman