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IJSNET
2007
97views more  IJSNET 2007»
14 years 11 months ago
Stochastic binary sensor networks for noisy environments
— This paper proposes a stochastic framework for detecting anomalies or gathering interesting events in a noisy environment using a sensor network consisting of binary sensors. A...
T. Nguyen, Dong Nguyen, Huaping Liu, Duc A. Tran
121
Voted
TSMC
2011
228views more  TSMC 2011»
14 years 6 months ago
Privacy-Preserving Outlier Detection Through Random Nonlinear Data Distortion
— Consider a scenario in which the data owner has some private/sensitive data and wants a data miner to access it for studying important patterns without revealing the sensitive ...
Kanishka Bhaduri, Mark D. Stefanski, Ashok N. Sriv...
ACSAC
2008
IEEE
15 years 6 months ago
Systematic Signature Engineering by Re-use of Snort Signatures
Most intrusion detection systems apply the misuse detection approach. Misuse detection compares recorded audit data with predefined patterns denoted as signatures. A signature is ...
Sebastian Schmerl, Hartmut König, Ulrich Fleg...
KDD
2001
ACM
1203views Data Mining» more  KDD 2001»
16 years 17 hour ago
Application of Data Mining Techniques for Medical Image Classification
Breast cancer represents the second leading cause of cancer deaths in women today and it is the most common type of cancer in women. This paper presents some experiments for tumou...
Maria-Luiza Antonie, Osmar R. Zaïane, Alexand...
109
Voted
CISS
2008
IEEE
14 years 11 months ago
Detection of anomalous meetings in a social network
Abstract-- When monitoring interactions within a social network, meetings or contacts between different members of the network are recorded. This paper addresses the problem of usi...
Jorge Silva, Rebecca Willett