Search Results - (( program case call algorithm ) OR ( java implication based algorithm ))

Case Slicing Technique for Feature Selection by A. Shiba, Omar A.

“…This new approach called Case Slicing Technique (CST). Applying to this technique on classification task can result in further enhancing case classification accuracy. …”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Towards a better feature subset selection approach by Shiba, Omar A. A.

“…The selection of the optimal features subset and the classification has become an important issue in the data mining field.We propose a feature selection scheme based on slicing technique which was originally proposed for programming languages.The proposed approach called Case Slicing Technique (CST).Slicing means that we are interested in automatically obtaining that portion 'features' of the case responsible for specific parts of the solution of the case at hand.We show that our goal should be to eliminate the number of features by removing irrelevant once.Choosing a subset of the features may increase accuracy and reduce complexity of the acquired knowledge.Our experimental results indicate that the performance of CST as a method of feature subset selection is better than the performance of the other approaches which are RELIEF with Base Learning Algorithm (C4.5), RELIEF with K-Nearest Neighbour (K-NN), RELIEF with Induction of Decision Tree Algorithm (ID3) and RELIEF with Naïve Bayes (NB), which are mostly used in the feature selection task.…”
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A network based fetal ECG monitoring algorithm by Ibrahimy, Muhammad Ibn, Hasan , M. A., Motakabber, S. M. A.

“…Proposed system is used to study numbers of cases and satisfactory result is found compared with conventional systems.…”
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Combinatorial Black Hole Algorithm: A Metaheuristic Approach for Combinatorial Testing by Ibrahim, Izrulfizal Saufihamizal, Ibrahim, Rosziati, Mat Rejab, Mazidah

“…In this paper, a new approach called the Combinatorial Black Hole Algorithm (CBHA) is presented for CT that combines the strengths of CT and BHA. …”
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Optimized processing of satellite signal via evolutionary search algorithm by Hassan, Azmi, Othman, Rusli, Tang, Kieh Ming

“…A robust strategy, called the Pseudo Randomized Search Strategy (PRSS) has been developed to counter the effect of this AS policy. …”
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Combinatorial Black Hole Algorithm: A Metaheuristic Approach for Combinatorial Testing by Ibrahim, Izrulfizal Saufihamizal, Ibrahim, Rosziati, Mat Rejab, Mazidah

“…In this paper, a new approach called the Combinatorial Black Hole Algorithm (CBHA) is presented for CT that combines the strengths of CT and BHA. …”
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Combinatorial Black Hole Algorithm: A Metaheuristic Approach for Combinatorial Testing by Ibrahim, Izrulfizal Saufihamizal, Ibrahim, Rosziati, Mat Rejab, Mazidah

“…In this paper, a new approach called the Combinatorial Black Hole Algorithm (CBHA) is presented for CT that combines the strengths of CT and BHA. …”
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Combinatorial Black Hole Algorithm: A Metaheuristic Approach for Combinatorial Testing by Saufihamizal Ibrahim, Izrulfizal, Ibrahim, Rosziati, Mat Rejab, Mazidah

“…In this paper, a new approach called the Combinatorial Black Hole Algorithm (CBHA) is presented for CT that combines the strengths of CT and BHA. …”
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Combinatorial Black Hole Algorithm: A Metaheuristic Approach for Combinatorial Testing by Ibrahim, Izrulfizal Saufihamizal, Ibrahim, Rosziati, Mat Rejab, Mazidah

“…In this paper, a new approach called the Combinatorial Black Hole Algorithm (CBHA) is presented for CT that combines the strengths of CT and BHA. …”
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Development of heuristic methods based on genetic algorithm (GA) for solving vehicle routing problem by Ismail, Zuhaimy, Nurhadi, Irhamah, Zainuddin, Zaitul Marlizawati

“…Based on the proposed heuristic method, we developed a program to optimize the routing problem using the Visual Studio C++ 6.0 programming language.…”
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An evaluation of Monte Carlo-based hyper-heuristic for interaction testing of industrial embedded software applications. by S. Ahmed, Bestoun, Enoiu, Eduard, Afzal, Wasif, Kamal Z., Zamli

“…Hyper-heuristic is a new methodology for the adaptive hybridization of meta-heuristic algorithms to derive a general algorithm for solving optimization problems. …”
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Development of a novel natural frequencies prediction tool for laminated composite plates using integrated artificial neural network (ANN) - simulink MATLAB / Mohd Arif Mat Norman by Mat Norman, Mohd Arif

“…The study conducted 16 case studies, and the program's predictions were validated using analytical methods and compared to FE modal results. …”
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Development of two matheuristics for production-inventory-distribution routing problem / Dicky Lim Teik Kyee by Dicky Lim , Teik Kyee

“…We propose an optimization algorithm designed by the interpolation of metaheuristics and mathematical programming techniques, known as MatHeuristics algorithm, to solve the model. …”
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Development of multi-objective optimization methods for integrated scheduling of handling equipment (AGVs, QCs, SP-AS/RS) in automated container terminals by Homayouni, Seyed Mahdi

“…However, the GA outperforms the SA algorithm in medium and large size test cases. Sensitivity analysis shows that value of the objective function decreases as the number of available AGVs increases. …”
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Simulated Annealing Based Strategy for Test Redundancy Reduction by Kamal Z., Zamli, Mohd Hafiz, Mohd Hassin, Al-Kazemi, Basem, Naseer, Atif

“…In order to address this issue, we have developed a new strategy, called tReductSA, to systematically minimize test cases for testing consideration. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Load-Balancing Models for Scheduling Divisible Load on Large Scale Data Grids by Abduh Kaid, Monir Abdullah

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Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining. by Saeed, Walid

“…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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Solving the integrated inventory supply chain problems using meta-heuristic methods / Seyed Mohsen Mousavi by Seyed Mohsen , Mousavi

“…Taguchi was used to optimize the algorithms parameters. While there was no benchmark in the literature, some numerical examples were generated to show the performance of the algorithms for both Euclidean and Square Euclidean distances while some case studies were also considered.…”
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