Sciweavers

292 search results - page 3 / 59
» A Partition-Based Approach to Graph Mining
Sort
View
KDD
2012
ACM
164views Data Mining» more  KDD 2012»
11 years 7 months ago
SeqiBloc: mining multi-time spanning blockmodels in dynamic graphs
Blockmodelling is an important technique for decomposing graphs into sets of roles. Vertices playing the same role have similar patterns of interactions with vertices in other rol...
Jeffrey Chan, Wei Liu, Christopher Leckie, James B...
GECCO
2008
Springer
115views Optimization» more  GECCO 2008»
13 years 6 months ago
A genetic programming approach to business process mining
The aim of process mining is to identify and extract process patterns from data logs to reconstruct an overall process flowchart. As business processes become more and more comple...
Chris J. Turner, Ashutosh Tiwari, Jörn Mehnen
KDD
2010
ACM
247views Data Mining» more  KDD 2010»
13 years 7 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...
EDBT
2008
ACM
160views Database» more  EDBT 2008»
13 years 7 months ago
Taxonomy-superimposed graph mining
New graph structures where node labels are members of hierarchically organized ontologies or taxonomies have become commonplace in different domains, e.g., life sciences. It is a ...
Ali Cakmak, Gultekin Özsoyoglu
SDM
2012
SIAM
340views Data Mining» more  SDM 2012»
11 years 7 months ago
IntruMine: Mining Intruders in Untrustworthy Data of Cyber-physical Systems
A Cyber-Physical System (CPS) integrates physical (i.e., sensor) devices with cyber (i.e., informational) components to form a situation-aware system that responds intelligently t...
Lu An Tang, Quanquan Gu, Xiao Yu, Jiawei Han, Thom...