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» Modeling Relational Data as Graphs for Mining
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KDD
2005
ACM
73views Data Mining» more  KDD 2005»
16 years 4 months ago
Using relational knowledge discovery to prevent securities fraud
We describe an application of relational knowledge discovery to a key regulatory mission of the National Association of Securities Dealers (NASD). NASD is the world's largest...
Özgür Simsek, David Jensen, Henry G. Gol...
CIKM
2009
Springer
15 years 11 months ago
A query language for analyzing networks
With more and more large networks becoming available, mining and querying such networks are increasingly important tasks which are not being supported by database models and query...
Anton Dries, Siegfried Nijssen, Luc De Raedt
122
Voted
KDD
1999
ACM
142views Data Mining» more  KDD 1999»
15 years 8 months ago
Mining GPS Data to Augment Road Models
Many advanced safety and navigation applications in vehicles require accurate, detailed digital maps, but manual lane measurements are expensive and time-consuming, making automat...
Seth Rogers, Pat Langley, Christopher Wilson
KDD
2005
ACM
171views Data Mining» more  KDD 2005»
16 years 4 months ago
Application of kernels to link analysis
Abstract. The application of kernel methods to link analysis is explored. We argue that a family of kernels on graphs provides a unified perspective on the three measures proposed ...
Takahiko Ito, Masashi Shimbo, Taku Kudo, Yuji Mats...
WWW
2006
ACM
16 years 5 months ago
Template guided association rule mining from XML documents
Compared with traditional association rule mining in the structured world (e.g. Relational Databases), mining from XML data is confronted with more challenges due to the inherent ...
Rahman Ali Mohammadzadeh, Sadegh Soltan, Masoud Ra...