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» Using Clustering Methods for Discovering Event Structures
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IPPS
2008
IEEE
14 years 2 months ago
An MPI tool for automatically discovering the switch level topologies of Ethernet clusters
We present an MPI topology discovery tool for homogeneous Ethernet switched clusters. Unlike existing Ethernet topology discovery methods that rely on Simple Network Management Pr...
Joshua Lawrence, Xin Yuan
BPM
2009
Springer
161views Business» more  BPM 2009»
14 years 3 months ago
Trace Clustering Based on Conserved Patterns: Towards Achieving Better Process Models
Process mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms ...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
KDD
2005
ACM
151views Data Mining» more  KDD 2005»
14 years 8 months ago
Discovering evolutionary theme patterns from text: an exploration of temporal text mining
Temporal Text Mining (TTM) is concerned with discovering temporal patterns in text information collected over time. Since most text information bears some time stamps, TTM has man...
Qiaozhu Mei, ChengXiang Zhai
BMCBI
2006
163views more  BMCBI 2006»
13 years 8 months ago
Ensemble attribute profile clustering: discovering and characterizing groups of genes with similar patterns of biological featur
Background: Ensemble attribute profile clustering is a novel, text-based strategy for analyzing a userdefined list of genes and/or proteins. The strategy exploits annotation data ...
J. R. Semeiks, A. Rizki, Mina J. Bissell, I. Saira...
ISMB
1993
13 years 9 months ago
Discovering Sequence Similarity by the Algorithmic Significance Method
The minimal-length encoding approach is applied to define concept of sequence similarity. Asequence is defined to be similar to another sequence or to a set of keywords if it can ...
Aleksandar Milosavljevic