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KDD
2005
ACM
73views Data Mining» more  KDD 2005»
14 years 5 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...
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
14 years 5 months ago
Relational data pre-processing techniques for improved securities fraud detection
Commercial datasets are often large, relational, and dynamic. They contain many records of people, places, things, events and their interactions over time. Such datasets are rarel...
Andrew Fast, Lisa Friedland, Marc Maier, Brian Tay...
ESSOS
2009
Springer
13 years 11 months ago
Protection Poker: Structuring Software Security Risk Assessment and Knowledge Transfer
Discovery of security vulnerabilities is on the rise. As a result, software development teams must place a higher priority on preventing the injection of vulnerabilities in softwar...
Laurie Williams, Michael Gegick, Andrew Meneely
DOCENG
2010
ACM
13 years 6 months ago
Document imaging security and forensics ecosystem considerations
: Document Imaging Security and Forensics Ecosystem Considerations Steven Simske, Margaret Sturgill, Guy Adams, Paul Everest HP Laboratories HPL-2010-156 Security, Forensics, Colo...
Steven J. Simske, Margaret Sturgill, Guy Adams, Pa...
SIGMOD
2011
ACM
270views Database» more  SIGMOD 2011»
12 years 7 months ago
Automatic discovery of attributes in relational databases
In this work we design algorithms for clustering relational columns into attributes, i.e., for identifying strong relationships between columns based on the common properties and ...
Meihui Zhang, Marios Hadjieleftheriou, Beng Chin O...