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» Introduction to Data Mining and Knowledge Discovery
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KDD
2004
ACM
148views Data Mining» more  KDD 2004»
15 years 10 months ago
Fast discovery of connection subgraphs
We define a connection subgraph as a small subgraph of a large graph that best captures the relationship between two nodes. The primary motivation for this work is to provide a pa...
Christos Faloutsos, Kevin S. McCurley, Andrew Tomk...
PKDD
2000
Springer
113views Data Mining» more  PKDD 2000»
15 years 1 months ago
CEM-Visualisation and Discovery in Email
Abstract. This paper presents a lattice-based visual metaphor for knowledge discovery in electronic mail. It allow a user to navigate email using a visual lattice metaphor rather t...
Richard J. Cole II, Peter W. Eklund, Gerd Stumme
KDD
1997
ACM
106views Data Mining» more  KDD 1997»
15 years 2 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
ISMDA
2005
Springer
15 years 3 months ago
Foreseeing Promising Bio-medical Findings for Effective Applications of Data Mining
Abstract. The increasing availability of automated data collection tools, database technologies and Information and Communication Technologies in biomedicine and health care have l...
Stefano Bonacina, Marco Masseroli, Francesco Pinci...
ISPE
2003
14 years 11 months ago
Application of data mining and intelligent agent technologies to concurrent engineering
: Software agent technology has matured enough to produce intelligent agents, which can be used to control a large number of concurrent engineering tasks. Multi-agent systems are c...
Pericles A. Mitkas, Andreas L. Symeonidis, Dionisi...