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IADIS
2008
15 years 8 months ago
Towards Mining for Influence in a Multi Agent Environment
Multi agent learning systems pose an interesting set of problems: in large environments agents may develop localised behaviour patterns that are not necessarily optimal; in a pure...
Robert Logie, Jon G. Hall, Kevin G. Waugh
DASFAA
2011
IEEE
270views Database» more  DASFAA 2011»
14 years 10 months ago
AutoBayesian: Developing Bayesian Networks Based on Text Mining
Bayesian network is a widely used tool for data analysis, modeling and decision support in various domains. There is a growing need for techniques and tools which can automatically...
Sandeep Raghuram, Yuni Xia, Jiaqi Ge, Mathew Palak...
KDD
2004
ACM
106views Data Mining» more  KDD 2004»
16 years 7 months ago
Early detection of insider trading in option markets
"Inside information" comes in many forms: knowledge of a corporate takeover, a terrorist attack, unexpectedly poor earnings, the FDA's acceptance of a new drug, etc...
Steve Donoho
KDD
2005
ACM
139views Data Mining» more  KDD 2005»
16 years 1 days ago
Learning to predict train wheel failures
This paper describes a successful but challenging application of data mining in the railway industry. The objective is to optimize maintenance and operation of trains through prog...
Chunsheng Yang, Sylvain Létourneau
PVLDB
2008
107views more  PVLDB 2008»
15 years 6 months ago
Finding relevant patterns in bursty sequences
Sequence data is ubiquitous and finding frequent sequences in a large database is one of the most common problems when analyzing sequence data. Unfortunately many sources of seque...
Alexander Lachmann, Mirek Riedewald