Titlebook: Computational Intelligence in Security for Information Systems 2010; Proceedings of the 3 álvaro Herrero,Emilio Corchado,ángel Alonso Confe

conspicuous

Improving Network Security through Traffic Log Anomaly Detection Using Time Series Analysis focused the detection on time series analysis, an unsupervised learning technique based on network flows that studies the past patterns to obtain future decisions. This approach have shown to be effective in preliminary anomaly detection as a part of bigger log correlation method or anomaly detector.

截斷

nonchalance

BSDT ROC and Cognitive Learning Hypothesisin’) hypothesis, describes successfully ROCs of any form, supports semi-representational memory architectures and predicts a kind of an irremovable physiology-behavior or brain-mind uncertainty. Results provide a ground for designing biologically inspired intelligent high performance codes and devices.

物質(zhì)

Evolving Fuzzy Classifier for Data Mining - an Information Retrieval Approacholution. We demonstrate the ability of genetic programming to evolve useful fuzzy classifiers on a real world case in which a classifier detecting faulty products in an industrial production process is evolved.

Mitigate

https://doi.org/10.1007/978-3-322-81887-4ual status of the manufacturing process, thus helping in the decision-making processes. This proves to be a great aid in improving the quality of the products and reducing both costs and the environmental footprint of the manufacturing process. The results of using such a system reinforce our belief in the approach presented.

軌道

https://doi.org/10.1007/978-3-663-08993-3rates cased-based reasoning, neural networks and support vector machines in order to classify and visualize the queries, allowing the detection and identification of SQL injections. The approach has been tested and the experimental results are presented in this paper.

AMEND

correspondent

A Multi-agent Data Mining System for Defect Forecasting in a Decentralized Manufacturing Environmentual status of the manufacturing process, thus helping in the decision-making processes. This proves to be a great aid in improving the quality of the products and reducing both costs and the environmental footprint of the manufacturing process. The results of using such a system reinforce our belief in the approach presented.

tenuous

A Distributed Hierarchical Multi-agent Architecture for Detecting Injections in SQL Queriesrates cased-based reasoning, neural networks and support vector machines in order to classify and visualize the queries, allowing the detection and identification of SQL injections. The approach has been tested and the experimental results are presented in this paper.

galley