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ISMDA
2005
Springer
14 years 3 months ago
Foreseeing Promising Bio-medical Findings for Effective Applications of Data Mining
Abstract. The increasing availability of automated data collection tools, database technologies and Information and Communication Technologies in biomedicine and health care have l...
Stefano Bonacina, Marco Masseroli, Francesco Pinci...
ICAPR
2005
Springer
14 years 3 months ago
GP Ensemble for Distributed Intrusion Detection Systems
In this paper an intrusion detection algorithm based on GP ensembles is proposed. The algorithm runs on a distributed hybrid multiisland model-based environment to monitor security...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
ACSC
2005
IEEE
14 years 3 months ago
Unsupervised Anomaly Detection in Network Intrusion Detection Using Clusters
Most current network intrusion detection systems employ signature-based methods or data mining-based methods which rely on labelled training data. This training data is typically ...
Kingsly Leung, Christopher Leckie
CNSR
2005
IEEE
112views Communications» more  CNSR 2005»
14 years 3 months ago
Generating Representative Traffic for Intrusion Detection System Benchmarking
In this paper, a modeling and simulation framework is proposed for generating data for training and testing intrusion detection systems. The framework can develop models of web us...
Hilmi Günes Kayacik, A. Nur Zincir-Heywood
ICMCS
2005
IEEE
185views Multimedia» more  ICMCS 2005»
14 years 3 months ago
Automatic Object Trajectory-Based Motion Recognition Using Gaussian Mixture Models
In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Gaussian Mixture Models (GMM). We build our models on Principal ...
Faisal I. Bashir, Ashfaq A. Khokhar, Dan Schonfeld