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» Clustering event logs using iterative partitioning
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KDD
2009
ACM
160views Data Mining» more  KDD 2009»
14 years 4 days ago
Clustering event logs using iterative partitioning
The importance of event logs, as a source of information in systems and network management cannot be overemphasized. With the ever increasing size and complexity of today’s even...
Adetokunbo Makanju, A. Nur Zincir-Heywood, Evangel...
PST
2008
13 years 6 months ago
LogView: Visualizing Event Log Clusters
Event logs or log files form an essential part of any network management and administration setup. While log files are invaluable to a network administrator, the vast amount of dat...
Adetokunbo Makanju, Stephen Brooks, A. Nur Zincir-...
BPM
2007
Springer
130views Business» more  BPM 2007»
13 years 11 months ago
Process Mining Based on Clustering: A Quest for Precision
Process mining techniques attempt to extract non-trivial and useful information from event logs recorded by information systems. For example, there are many process mining techniqu...
Ana Karla Alves de Medeiros, Antonella Guzzo, Gian...
BMCBI
2004
181views more  BMCBI 2004»
13 years 5 months ago
Iterative class discovery and feature selection using Minimal Spanning Trees
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
Sudhir Varma, Richard Simon
ICML
2010
IEEE
13 years 6 months ago
Finding Planted Partitions in Nearly Linear Time using Arrested Spectral Clustering
We describe an algorithm for clustering using a similarity graph. The algorithm (a) runs in O(n log3 n + m log n) time on graphs with n vertices and m edges, and (b) with high pro...
Nader H. Bshouty, Philip M. Long