Search Results - (( developing consumer decision algorithm ) OR ( java application customization algorithm ))

Decision tree and rule-based classification for predicting online purchase behavior in Malaysia / Maslina Abdul Aziz, Nurul Ain Mustakim and Shuzlina Abdul Rahman by Abdul Aziz, Maslina, Mustakim, Nurul Ain, Abdul Rahman, Shuzlina

“…The absence of specific predictive models and the complexity of socio-cultural diversity further complicate the efforts toward understanding consumer preferences. Therefore, this research tries to fill in some of the gaps by applying decision tree and rule-based algorithms to classify online purchasing behavior amongst Malaysian consumers. …”
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Customer behavior analysis based on purchasing history and reviews using automated decision-making systems by Allur, Naga Sushma, Deevi, Durga Praveen, Dondapati, Koteswararao, Chetlapalli, Himabindu, Kodadi, Sharadha, Perumal, Thinagaran

“…Advanced Techniques Effectively Address Complex Issues: Machine learning and decision-making methods have been used to understand consumer behavior and decision-making. …”
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Movie recommendation using user-based collaborative filtering algorithm / Nur Ayuni Izlin Mat Ishor by Mat Ishor, Nur Ayuni Izlin

“…Movie recommendation is a software program known as tools that are used for providing a suggestion for movie consumers in making a decision on a movie to watch. …”
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TOPSIS-based Regression Algorithms Evaluation by Abu-Shareha, Ahmad Adel

“…This paper developed a multi-criteria decision-making approach using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to benchmark the regression alternatives. …”
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A decision support system for improving forecast using genetic algorithm and tabu search by Ismail, Zuhaimy

“…The intrinsic uncertainties associated with demand forecasting become more acute when it is required to provide invaluable dimensions for the decision-making process. The concept of decision support system (DSS) is very broad and it can take many different forms. …”
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Comparative Analysis of Neighborhood based Meta-heuristic Algorithms for MC/DC Test Data Generation by Ariful, Haque, Kamal Z., Zamli

“…In order to help test engineers to make informed decision on the best neighborhood based implementations, this paper investigates the size and time performance of two MC/DC test strategies re-implementation based on Simulated Annealing against two newly developed strategies based on Great Deluge and Late Acceptance Hill Climbing algorithms respectively. …”
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Vertical Handover Decision Processes for Fourth Generation Heterogeneous Wireless Networks by Al-Khalid, Hj Othman, Mahmood, Adnan, Hushairi, Zen

“…This paper intends to present a comprehensive survey of VHD algorithms designed to satisfy these requirements. To offer a systematic comparison and thus to assess the tradeoffs between their complexity of implementation and efficiency, our study has categorized algorithms into various groups based on the main handover decision criterion used. …”
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An experimental study of neighbourhood based metaheuristic algorithms for test case generation satisfying the modified condition / decision coverage criterion by Haque, Ariful

“…Although useful, the existing algorithms does not provide any comparative data to select an algorithm based on the problem size and difficulty and the use of other neighborhood algorithms (including Great Deluge and Late Acceptance Hill Climbing) has not been sufficiently explored as well. …”
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Development of the cascading module for hydro energy decision support system (HEDSS) for Temenggor-Bersia-Kenering power plants by Nadzri, Ezuria

“…However, optimization calculation using manual approach consumes ample of time. This dissertation presents the development of an automation system (HEDSS) to ease the optimization calculation. …”
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Optimal load management strategy for enhanced time of use (ETOU) electricity tariff in Peninsular Malaysia / Mohamad Fani Sulaima by Sulaima, Mohamad Fani

“…A novel method was developed by integrating a modified energy audit procedure with decision tree technique to determine the percentage of controlled loads available for LM, and the optimal LM weightage. …”
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Intent-IQ: customer’s reviews intent recognition using random forest algorithm by Mazlan, Nur Farahnisrin, Ibrahim Teo, Noor Hasimah

“…Two machine learning model is chosen to build the classification models which are Random Forest (RF) algorithm and Multinomial Naïve Bayes (MNB) algorithm. …”
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Development of lecturers' publication score algorithm / Zamali Tarmudi and Haijon Gunggut by Zamali Tarmudi, Haijon Gunggut

“…The aim of this paper is to develop a lecturers' publication score algorithm to assist UiTM Sabah in selecting winners among lecturers in terms of publication contribution. …”
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Shortest Path Trajectory System Based on Dijkstra Algorithm by Putri, Indah Pratiwi

“…This project includes the modification of main algorithm which has been implemented in the prototype development. …”
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Online Clothing Shopbots via Web Content Extraction / Nurul Syazwani Ramzi by Ramzi, Nurul Syazwani

“…Therefore, agile development methodology is very useful method to make the system successful and can be developed according to the schedule. …”
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Fuzzy clustering method and evaluation based on multi criteria decision making technique by Sameer, Fadhaa Othman

“…This proposed algorithm is developed based on heuristic method named modified binary particle swarm optimization (MBPSO) with kernel fuzzy clustering method as a fitness function. …”
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Algorithms for frequent itemset mining: a literature review by Chee, C.-H., Jaafar, J., Aziz, I.A., Hasan, M.H., Yeoh, W.

“…This paper reviews and presents a comparison of different algorithms for Frequent Pattern Mining (FPM) so that a more efficient FPM algorithm can be developed. …”
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Waste management using machine learning and deep learning algorithms by Sami, Khan Nasik, Amin, Zian Md Afique, Hassan, Raini

“…For our research we did the comparisons between three Machine Learning algorithms, namely Support Vector Machine (SVM), Random Forest, and Decision Tree, and one Deep Learning algorithm called Convolutional Neural Network (CNN), to find the optimal algorithm that best fits for the waste classification solution. …”
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Development of an effective clustering algorithm for older fallers by Goh, Choon Hian, Wong, Kam Kang, Tan, Maw Pin *, Ng, Siew Cheok, Chuah, Yea Dat, Kwan, Ban Hoe

“…The purpose of this study was, therefore, to develop a clustering-based algorithm to determine falls risk. …”
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Enhancing obfuscation technique for protecting source code against software reverse engineering by Mahfoudh, Asma

“…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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Using convolution neural networks for improving customer requirements classification performance of autonomous vehicle by Hao, Wang, Asrul, Adam, Fengrong, Han

“…The development of AV that meets customer requirements will increase the global consumer and remain competitive. …”
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