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KDD
1997
ACM
106views Data Mining» more  KDD 1997»
15 years 4 months ago
Clustering Sequences of Complex Objects
Sequential Data This paper is about the unsuperviseddiscovery of patterns in sequencesof compositeobjects. A compositeobject may be describedas a sequenceof other, simpler data. In...
A. Ketterlin
AICCSA
2008
IEEE
842views Hardware» more  AICCSA 2008»
15 years 1 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
AUSDM
2008
Springer
246views Data Mining» more  AUSDM 2008»
15 years 1 months ago
Comparison of Visualization Methods of Genome-wide SNP Profiles in Childhood Acute Lymphoblastic Leukaemia
Data mining and knowledge discovery have been applied to datasets in various industries including biomedical data. Modelling, data mining and visualization in biomedical data addr...
Ahmad Al-Oqaily, Paul J. Kennedy, Daniel R. Catchp...
IADIS
2004
15 years 1 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...
CMG
2001
15 years 1 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