Identifying Dense Structures to Guide the Detection of Misuse and Fraud in Network Data

Martin Harrigan

Identifying Dense Structures to Guide the Detection of Misuse and Fraud in Network Data

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	The 2nd International Workshop on Mining Ubiquitous and Social Environments (MUSE'11) at the 22nd European Conference on Machine Learning and the 15th European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD'11)
Publication status	Published - 2011

Cite this

@inproceedings{f2c18e834214465cb596d9eb90d9de1e,

title = "Identifying Dense Structures to Guide the Detection of Misuse and Fraud in Network Data",

author = "Martin Harrigan",

year = "2011",

language = "English",

booktitle = "The 2nd International Workshop on Mining Ubiquitous and Social Environments (MUSE'11) at the 22nd European Conference on Machine Learning and the 15th European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD'11)",

}

Identifying Dense Structures to Guide the Detection of Misuse and Fraud in Network Data. / Harrigan, Martin.
The 2nd International Workshop on Mining Ubiquitous and Social Environments (MUSE'11) at the 22nd European Conference on Machine Learning and the 15th European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD'11). 2011.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Identifying Dense Structures to Guide the Detection of Misuse and Fraud in Network Data

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PY - 2011

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M3 - Conference contribution

BT - The 2nd International Workshop on Mining Ubiquitous and Social Environments (MUSE'11) at the 22nd European Conference on Machine Learning and the 15th European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD'11)

ER -