The paper presents a suspicious email detection model which incorporates enhanced feature selection. In the paper we proposed the use of feature selection strategies along with classification technique for terrorists email detection. The presented model focuses on the evaluation of machine learning algorithms such as decision tree (ID3), logistic regression, Naïve Bayes (NB), and Support Vector...

The selection of appropriate machines is one of the most critical decisions in the design and development of a successful production environment. In this study, a user-friendly decision support system is proposed for machine tool selection. This system guides the decision-maker in selecting available machines via effective algorithms, such as the Analytic Hierarchy Process (AHP). Cost analysis ...

Biomedical datasets usually include a large number of features relative to the number of samples. However, some data dimensions may be less relevant or even irrelevant to the output class. Selection of an optimal subset of features is critical, not only to reduce the processing cost but also to improve the classification results. To this end, this paper presents a hybrid method of filter and wr...

3D printing or additive manufacturing (AM) is considered to be the most important technology among emerging technologies. as an alternative conventional manufacturer machine traditionally used in sector. generally classified into seven types. Each type of has its separate own uniqueness (i.e., operation, material usage, and no wastage). The price a manufactured item includes all costs. these ta...

In online algorithm selection (OAS), instances of an algorithmic problem class are presented to agent one after another, and the has quickly select a presumably best from fixed set candidate algorithms. For decision problems such as satisfiability (SAT), quality typically refers algorithm's runtime. As latter is known exhibit heavy-tail distribution, normally stopped when exceeding predefined u...

AN EFFICIENT UNIFORM GENE SELECTION FOR MICRO ARRAY DATA VIA HYBRID WEIGHTING 1 G. Baskar, 2 Dr.P.Ponmuthuramalingam 1 PhD Research Scholar, 2 Associate Professor & Head Department of Computer Science Government Arts College (Autonomous) Coimbatore, Tamil Nadu, INDIA _____________________________________________________________ Abstract:Feature Selection is a common standard method used for gen...

biomedical datasets usually include a large number of features relative to the number of samples. however, some data dimensions may be less relevant or even irrelevant to the output class. selection of an optimal subset of features is critical, not only to reduce the processing cost but also to improve the classification results. to this end, this paper presents a hybrid method of filter and wr...

Background: In the current study, a hybrid feature selection approach involving filter and wrapper methods is applied to some bioscience databases with various records, attributes and classes; hence, this strategy enjoys the advantages of both methods such as fast execution, generality, and accuracy. The purpose is diagnosing of the disease status and estimating of the patient survival. Method...