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» Capturing the Sudden Concept Drift in Process Mining
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KCAP
2003
ACM
14 years 4 months ago
Aiding knowledge capture by searching for extensions of knowledge models
Electronic concept mapping tools empower experts to play an active role in the knowledge capture process, and provide a medium for building richly connected multimedia knowledge m...
David B. Leake, Ana Gabriela Maguitman, Thomas Rei...
PKDD
2004
Springer
199views Data Mining» more  PKDD 2004»
14 years 4 months ago
SemanticTalk: Software for Visualizing Brainstorming Sessions and Thematic Concept Trails on Document Collections
Abstract: In this demonstration we introduce a technology to support knowledge structuring processes already at the time of their creation by building up concept structures in real...
Christian Biemann, Karsten Böhm, Gerhard Heye...
KDD
2002
ACM
144views Data Mining» more  KDD 2002»
14 years 11 months ago
ADMIT: anomaly-based data mining for intrusions
Security of computer systems is essential to their acceptance and utility. Computer security analysts use intrusion detection systems to assist them in maintaining computer system...
Karlton Sequeira, Mohammed Javeed Zaki
LWA
2008
14 years 8 days ago
Pre analysis and clustering of uncertain data from manufacturing processes
With increasing complexity of manufacturing processes, the volume of data that has to be evaluated rises accordingly. The complexity and data volume make any kind of manual data a...
Peter Benjamin Volk, Martin Hahmann, Dirk Habich, ...
PVLDB
2010
132views more  PVLDB 2010»
13 years 9 months ago
CoDA: Interactive Cluster Based Concept Discovery
Large data resources are ubiquitous in science and business. For these domains, an intuitive view on the data is essential to fully exploit the hidden knowledge. Often, these data...
Stephan Günnemann, Ines Färber, Hardy Kr...