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HPDC
2008
IEEE
14 years 2 months ago
Issues in applying data mining to grid job failure detection and diagnosis
As grid computation systems become larger and more complex, manually diagnosing failures in jobs becomes impractical. Recently, machine-learning techniques have been proposed to d...
Lakshmikant Shrinivas, Jeffrey F. Naughton
SDM
2010
SIAM
256views Data Mining» more  SDM 2010»
13 years 9 months ago
The Application of Statistical Relational Learning to a Database of Criminal and Terrorist Activity
We apply statistical relational learning to a database of criminal and terrorist activity to predict attributes and event outcomes. The database stems from a collection of news ar...
B. Delaney, Andrew S. Fast, W. M. Campbell, C. J. ...
GI
1998
Springer
13 years 11 months ago
Self-Organizing Data Mining
"KnowledgeMiner" was designed to support the knowledge extraction process on a highly automated level. Implemented are 3 different GMDH-type self-organizing modeling algo...
Frank Lemke, Johann-Adolf Müller
VLDB
2004
ACM
143views Database» more  VLDB 2004»
14 years 26 days ago
GPX: Interactive Mining of Gene Expression Data
Discovering co-expressed genes and coherent expression patterns in gene expression data is an important data analysis task in bioinformatics research and biomedical applications. ...
Daxin Jiang, Jian Pei, Aidong Zhang
VLDB
1991
ACM
143views Database» more  VLDB 1991»
13 years 11 months ago
Handling Data Skew in Multiprocessor Database Computers Using Partition Tuning
Shared nothing multiprocessor archit.ecture is known t.obe more scalable to support very large databases. Compared to other join strategies, a hash-ba9ed join algorithm is particu...
Kien A. Hua, Chiang Lee