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» Theoretical Frameworks for Data Mining
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JMLR
2012
13 years 11 days ago
Metric and Kernel Learning Using a Linear Transformation
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
KDD
2010
ACM
247views Data Mining» more  KDD 2010»
14 years 12 months ago
Metric forensics: a multi-level approach for mining volatile graphs
Advances in data collection and storage capacity have made it increasingly possible to collect highly volatile graph data for analysis. Existing graph analysis techniques are not ...
Keith Henderson, Tina Eliassi-Rad, Christos Falout...
WISE
2007
Springer
15 years 4 months ago
Learning Management System Based on SCORM, Agents and Mining
Based on SCORM sequencing and navigation specifications, a learning management system has been developed. The system has intelligent tutoring system capabilities that allow content...
Carlos Cobos, Miguel Niño, Martha Mendoza, ...
BPM
2006
Springer
153views Business» more  BPM 2006»
15 years 1 months ago
Decision Mining in ProM
Process-aware Information Systems typically log events (e.g., in transaction logs or audit trails) related to the actual business process executions. Proper analysis of these execu...
Anne Rozinat, Wil M. P. van der Aalst
CG
2007
Springer
14 years 10 months ago
Visual text mining using association rules
In many situations, individuals or groups of individuals are faced with the need to examine sets of documents to achieve understanding of their structure and to locate relevant in...
Alneu de Andrade Lopes, Roberto Pinho, Fernando Vi...