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BPM
2009
Springer
175views Business» more  BPM 2009»
16 years 1 months ago
Understanding Spaghetti Models with Sequence Clustering for ProM
The goal of process mining is to discover process models from event logs. However, for processes that are not well structured and have a lot of diverse behavior, existing process m...
Gabriel M. Veiga, Diogo R. Ferreira
ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
16 years 27 days ago
Incremental Subspace Clustering over Multiple Data Streams
Data streams are often locally correlated, with a subset of streams exhibiting coherent patterns over a subset of time points. Subspace clustering can discover clusters of objects...
Qi Zhang, Jinze Liu, Wei Wang 0010
ROBOCOMM
2007
IEEE
16 years 26 days ago
Shared memories: a trail-based coordination server for robot teams
Abstract—Robust, dependable and concise coordination between members of a robot team is a critical ingredient of any such collective activity. Depending on the availability and t...
George Roussos, Dikaios Papadogkonas, J. Taylor, D...
CSB
2005
IEEE
118views Bioinformatics» more  CSB 2005»
16 years 6 days ago
Gene Teams with Relaxed Proximity Constraint
Functionally related genes co-evolve, probably due to the strong selection pressure in evolution. Thus we expect that they are present in multiple genomes. Physical proximity amon...
Sun Kim, Jeong-Hyeon Choi, Jiong Yang
ICDM
2003
IEEE
111views Data Mining» more  ICDM 2003»
15 years 12 months ago
OP-Cluster: Clustering by Tendency in High Dimensional Space
Clustering is the process of grouping a set of objects into classes of similar objects. Because of unknownness of the hidden patterns in the data sets, the definition of similari...
Jinze Liu, Wei Wang 0010