Search Results - (( basic web selection algorithm ) OR ( java segmentation learning algorithm ))
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1
Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun
Published 2000“…In addition, the system is developed using the developing tools that are essential in web applications, namely. web server, database server, system server and web programming tools such as ASP and Visual Basic. …”
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2
An ensemble feature selection method to detect web spam
Published 2018“…In addition, it improves classification metrics in comparison to basic feature selection methods.…”
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Adaptive security architecture for protecting RESTful web services in enterprise computing environment
Published 2018“…This paper is written to present one of such algorithms to prevent SOA attacks on RESTful web services along the discussion on the obtained results of the conducted proof-of-concept on the real-time SOA environment. …”
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4
Adaptive security architecture for protecting RESTful web services in enterprise computing environment
Published 2018“…This paper is written to present one of such algorithms to prevent SOA attacks on RESTful web services along the discussion on the obtained results of the conducted proof-of-concept on the real-time SOA environment. …”
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5
Development of durian ontology from unstructured text and external knowledge source / Khairul Nurmazianna Ismail
Published 2014“…In the first phase, the ontology element and algorithm techniques should be selected. While in the second phase, the HTML files are uploaded for processing. …”
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6
A phonetically rich and balanced lexical corpus using zipfian distribution for an under resourced language / Aminath Farshana
Published 2018“…From 109,208 sentences collected from web sources, 360 sentences were selected to ensure a phonetically rich and balanced lexical corpus. …”
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7
Determining Suitable Program For SPM Holder Using Neural Network Approach
Published 2002“…The basic architecture are multilayer feedforward networks, trained using the Backpropagation algorithm. …”
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8
Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining.
Published 2005“…The accuracy for rules and classification resulted from the TIP method are compared with other methods such as Standard Integer Programming (SIP) and Decision Related Integer Programming (DRIP) from Rough Set, Genetic Algorithm (GA), Johnson reducer, HoltelR method, Multiple Regression (MR), Neural Network (NN), Induction of Decision Tree Algorithm (ID3) and Base Learning Algorithm (C4.5); all other classifiers that are mostly used in the classification tasks. …”
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Development and integration of capacitive sensing and electrocuting grid for mosquitoes surveillance and control
Published 2020“…The final proposed system is tested with a basic species recognition algorithm and achieved species recognition rate of between 75% to 83% and selective trapping rate of between 63% to 69%.…”
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