Search Results - solution ((((computing techniques) OR (mining techniques))) OR (learning techniques))

Talent classification using support vector machine technique / Hamidah Jantan, Norazmah Mat Yusof and Mohd Hanapi Abdul Latif by Jantan, Hamidah, Mat Yusof, Norazmah, Abdul Latif, Mohd Hanapi

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Review of firewall optimization techniques by Shakirah, Saidin, Mohamad Fadli, Zolkipli

“…Minimizing firewall rules by removing anomalies in the policy proven to be one of the solutions. Firewall performance can also be optimized using data mining technique and optimization based on traffic awareness. …”
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Applied data mining approach in ubiquitous world of air transportation by Reza, S.M., Wah, T.Y., Lahsasna, A.

“…This paper is going to use one of successfully used data mining techniques, namely neural network, which is capable of recognizing patterns. …”
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Accelerated mine blast algorithm for ANFIS training for solving classification problems by Mohd Salleh, Mohd Najib, Hussain, Kashif

“…Mine Blast Algorithm (MBA) is newly developed metaheuristic technique. …”
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Machine Learning Algorithms for Diabetes Prediction: A Review Paper by Al-Sideiri A., Cob Z.B.C., Drus S.B.M.

An artificial immune system model as talent performance predictor / Siti ‘Aisyah Sa’dan, Hamidah Jantan and Mohd Hanapi Abdul Latif by Sa’dan, Siti ‘Aisyah, Jantan, Hamidah, Abdul Latif, Mohd Hanapi

“…Recently, among the challenges of Human Resource professionals has been managing an organization talent which involves a lot of managerial or human decisions, which sometimes are very uncertain and difficult. Prediction in data mining is among the popular machine learning techniques as a part of intelligent techniques, for example, Bayesian methods, neural network, support vector machine, association rule mining, k-nearest-neighbor, rough sets and fuzzy logic. …”
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Predictive crime mapping model using association rule mining for crime analysis by Asmai, S. A., Rosmiza Wahida, Abdullah, Sabrina, Ahmad

“…After training the data, the rules of relationship between attributes were generated. Here, the technique of association rule mining is being used. …”
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Medical diagnosis using data mining techniques / Shaiful Nizam Zamri by Shaiful Nizam , Zamri

“…Medical Diagnosis Using Data Mining Techniques is a system in specifically facilitates the data mining techniques in predicting the appropriate drug prescription of certain condition of patients. …”
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Unsupervised logic mining with a binary clonal selection algorithm in multi-unit discrete Hopfield neural networks via weighted systematic 2 satisfiability by Romli, Nurul Atiqah, Zulkepli, Nur Fariha Syaqina, Kasihmuddin, Mohd Shareduwan Mohd, Zamri, Nur Ezlin, Rusdi, Nur 'Afifah, Manoharam, Gaeithry, Mansor, Mohd. Asyraf, Jamaludin, Siti Zulaikha Mohd, Malik, Amierah Abdul

“…Additionally, unsupervised learning techniques such as Topological Data Analysis were proposed to ensure the reliability of the selected attributes in the model. …”
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Feature and Instances Selection for Nearest Neighbor Classification via Cooperative PSO by Sharifah Sakinah, Syed Ahmad

“…Data reduction is an essential task in the data preparation phase of knowledge discovery and data mining (KDD). The reduction method contains two techniques, namely features reduction and data reduction which are commonly applied to a classification problem. …”
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A review on optimization of least squares support vector machine for time series forecasting by Yusof, Yuhanis, Mustaffa, Zuriani

“…This paper presents a review on techniques used to optimize the parameters based on two main classes; Evolutionary Computation and Cross Validation.…”
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Computer Assisted Counter System for Larvae and Juvenile Fish in Malaysian Fishing Hatcheries by Machine Learning Approach by Valliappan Raman, Sujata Navaratnam, Siti Fazilah, Sundresan A/L Perumal

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Intrusion detection system with data mining approach: a review by Khalilian, Majdid, Mustapha, Norwati, Sulaiman, Md. Nasir, Mamat, Ali

“…Despite of growing information technology widely, security has remained one challenging area for computers and networks. Recently many researchers have focused on intrusion detection system based on data mining techniques as an efficient strategy. …”
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Visualizing tourist behaviour in Melaka using HDBSCAN and multiple linear regression by Hamsah, Mohamad Halid Sazli, Mishan, Mohd Taufik

“…Conventional techniques for patternizing tourists' behavior, e.g., surveys, are time-consuming with a limited sample size. …”
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Memory Visualization-Based Malware Detection Technique by Shah S.S.H., Jamil N., Khan A.U.R.

Diabetes Diagnosis And Level Of Care Fuzzy Rule-Based Model Utilizing Supervised Machine Learning For Classification And Prediction by Mohd Aris, Teh Noranis, Abu Bakar, Azuraliza, Mahiddin, Normadiah, Zolkepli, Maslina

“…Fuzzy logic has contributed to handle vagueness and uncertainty issues and one of the appropriate models for the development of medical diagnostics. Most computer applications use machine learning and data mining techniques to aid classification and prediction of a disease. …”
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Cyberbullying in e-Learning platform: a text mining analytics by Kartiwi, Mira, Gunawan, Teddy Surya

“…This paper also aimed to propose a practical solution to combat cyberbullying in an educational platform, and shed some lights on the potential applications of text mining techniques in educational research.…”
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Uncovering Hidden Information Within R&D Department's Ticket Using Data Mining Clustering Approach by Azmi, Abu Bakar

“…In this study the data extracted is clustered using two different types of data mining techniques i.e. K-Means and Kohonen Network. …”
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A numerical method for frequent pattern mining by Mustapha, Norwati, Nadimi-Shahraki, Mohammad-Hossein, Mamat, Ali, Sulaiman, Md. Nasir

“…Frequent pattern mining is one of the active research themes in data mining. …”
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A hybrid technique of deep learning neural networks with finite difference method for higher order fractional Volterra-Fredholm integro-differential equations with φ-Caputo operato... by Alsa’Di, Kawthar, Nik Long, Nik Mohd Asri

“…Moreover, a new hybrid technique which is the combination of deep learning artificial neural network and finite difference method (FDL-ANN) is developed to approximate the solution of higher order VFIDEs. …”
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