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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 8 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
AICCSA
2008
IEEE
842views Hardware» more  AICCSA 2008»
15 years 7 months ago
Intelligent heart disease prediction system using data mining techniques
The healthcare industry collects huge amounts of healthcare data which, unfortunately, are not "mined" to discover hidden information for effective decision making. Disc...
Sellappan Palaniappan, Rafiah Awang
IADIS
2004
15 years 6 months ago
Discovering data dependencies in Web content mining
Web content mining opens up the possibility to use data presented in web pages for the discovery of interesting and useful patterns. Our web mining tool, FBL (Filtered Bayesian Le...
José Carlos Cortizo, J. Ignacio Girá...
139
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CMG
2001
15 years 6 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