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AUSDM
2008
Springer
212views Data Mining» more  AUSDM 2008»
14 years 1 days ago
Clustering and Classification of Maintenance Logs using Text Data Mining
Spreadsheets applications allow data to be stored with low development overheads, but also with low data quality. Reporting on data from such sources is difficult using traditiona...
Brett Edwards, Michael Zatorsky, Richi Nayak
SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
13 years 11 months ago
Clustering from Constraint Graphs
In constrained clustering it is common to model the pairwise constraints as edges on the graph of observations. Using results from graph theory, we analyze such constraint graphs ...
Ari Freund, Dan Pelleg, Yossi Richter
ACSW
2004
13 years 11 months ago
Application of self-organizing maps to clustering of high-frequency Financial data
This paper analyzes the clustering of trades on the Australian Stock Exchange (ASX) with respect to the trade direction variable. The ASX is a limit order market operating an elec...
Adam Blazejewski, Richard Coggins
APBC
2004
121views Bioinformatics» more  APBC 2004»
13 years 11 months ago
Using Emerging Pattern Based Projected Clustering and Gene Expression Data for Cancer Detection
Using gene expression data for cancer detection is one of the famous research topics in bioinformatics. Theoretically, gene expression data is capable to detect all types of early...
Larry T. H. Yu, Fu-Lai Chung, Stephen Chi-fai Chan...
IADIS
2004
13 years 11 months ago
Speculative TCP Connection Admission Using Connection Migration in Cluster-Based Servers
This paper presents speculative TCP connection admission, a mechanism for improving sub-optimal request distribution decisions in cluster-based servers. Overloaded server nodes in...
Vlad Olaru, Walter F. Tichy