A hybrid approach for intrusion detection in computer networks is presented in this paper. The proposed approach combines an evolutionary-based fuzzy system with an Ant Colony Optimization procedure to generate high-quality fuzzy-classification rules. We applied our hybrid learning approach to network security and validated it using the DARPA KDD-Cup99 benchmark data set. The results indicate t...

Suppose that infinitesimal firms have identical variable costs but there is heterogeneity in their fixed costs. Regardless of the ordering of entry and exit, fixed costs will be minimized for a given industry size. Journal of Economic Literature Classifications: L11 & L13

Support vector machine (SVM) is a popular classification technique which classifies data using a max-margin separator hyperplane. The normal vector and bias of the mentioned hyperplane is determined by solving a quadratic model implies that SVM training confronts by an optimization problem. Among of the extensions of SVM, cost-sensitive scheme refers to a model with multiple costs which conside...

Introduction: One of the key sources of performance degradation in the field of time-series classification is the class imbalance problem. In real-world datasets, the minority class (Positive class) is outnumbered by abundant majority (negative) class instances. Objective: Develop a cost-sensitive time-series classification framework. Challenge 1: Minimum classification error criterion (e.g 0-1...

QUALITATIVE TEST-COST SENSITIVE CLASSIFICATION Mümin Cebe M.S. in Computer Engineering Supervisor: Assist. Prof. Dr. Çiğdem Gündüz Demir Agust, 2008 Decision making is a procedure for selecting the best action among several alternatives. In many real-world problems, decision has to be taken under the circumstances in which one has to pay to acquire information. In this thesis, we propose a new ...

this paper seeks to understand the role of the cost of pollution from vehicles fuel in feasibility of cng national plan. optimal control theory is used with two target functions, one with and another without the cost of pollution. model results indicate the high importance of pollution cost in the project feasibility, in such a way that without consideration of that the project will be infeasib...

The formulas of cost and allocative efficiencies of decision making units (DMUs) with positive data cannot be used for DMUs with negative data. On the other hand, these formulas are needed to analyze the productivity and performance of DMUs with negative data. To this end, this study introduces the cost and allocative efficiencies of DMUs with negative data and demonstrates that the introduc...