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  1. 1
    Improved whale optimization algorithm for feature selection in Arabic sentiment analysis

    Improved whale optimization algorithm for feature selection in Arabic sentiment analysis by Tubishat, Mohammad, Abushariah, Mohammad A.M., Idris, Norisma, Aljarah, Ibrahim

    Published 2019
    “…In SA, feature selection phase is an important phase for machine learning classifiers specifically when the datasets used in training is huge. Whale Optimization Algorithm (WOA) is one of the recent metaheuristic optimization algorithm that mimics the whale hunting mechanism. …”
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  2. 2
    Time series predictive analysis based on hybridization of meta-heuristic algorithms

    Time series predictive analysis based on hybridization of meta-heuristic algorithms by Mustaffa, Zuriani, Sulaiman, Mohd Herwan, Rohidin, Dede, Ernawan, Ferda, Kasim, Shahreen

    Published 2018
    “…The identified meta-heuristic methods namely Moth-flame Optimization (MFO), Cuckoo Search algorithm (CSA), Artificial Bee Colony (ABC), Firefly Algorithm (FA) and Differential Evolution (DE) are individually hybridized with a well-known machine learning technique namely Least Squares Support Vector Machines (LS-SVM). …”
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  3. 3
    Classification with degree of importance of attributes for stock market data mining

    Classification with degree of importance of attributes for stock market data mining by Khokhar, Rashid Hafeez, Md. Sap, Mohd. Noor

    Published 2004
    “…Alan Fan et aI., [2] use Support Vector Machine (SVM) to stock market prediction. The SVM is a training algorithm for learning classification and regression rules from data [7]. …”
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  4. 4
    Time series predictive analysis based on hybridization of meta-heuristic algorithms

    Time series predictive analysis based on hybridization of meta-heuristic algorithms by Zuriani, Mustaffa, M. H., Sulaiman, Rohidin, Dede, Ernawan, Ferda, Shahreen, Kasim

    Published 2018
    “…The identified meta-heuristic methods namely Moth-flame Optimization (MFO), Cuckoo Search algorithm (CSA), Artificial Bee Colony (ABC), Firefly Algorithm (FA) and Differential Evolution (DE) are individually hybridized with a well-known machine learning technique namely Least Squares Support Vector Machines (LS-SVM). …”
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  5. 5
    Stock market turning points rule-based prediction / Lersak Photong … [et al.]

    Stock market turning points rule-based prediction / Lersak Photong … [et al.] by Photong, Lersak, Sukprasert, Anupong, Boonlua, Sutana, Ampant, Pravi

    Published 2021
    “…Finally, rule-based optimisation techniques such as Particle Swarm Optimization (PSO), Differential Evolution (DE) and Grey Wolf Optimizer (GWO) were used to minimise the amount of time employed in the stock market turning points prediction. …”
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  6. 6
    Customer segmentation on clustering algorithms

    Customer segmentation on clustering algorithms by Toh, Wei Xuan

    Published 2023
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    Final Year Project / Dissertation / Thesis
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  7. 7
    A Customer Churn Prediction using Pearson Correlation Function and K Nearest Neighbor Algorithm for Telecommunication Industry

    A Customer Churn Prediction using Pearson Correlation Function and K Nearest Neighbor Algorithm for Telecommunication Industry by Nilam Nur Amir, Sjarif, Muhammad Rusydi, Mohd Yusof, Doris Hooi, Ten Wong, Suraya, Ya’akob, Roslina, Ibrahim, Mohd Zamri, Osman

    Published 2019
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  8. 8
    The application of queuing theory model using the DSW Algorithm and the L-R Method to optimize customer flow at Pizza Hut / Anis Natasha Mohamad Nizam, Nurfatihah Nadirah Noor Azlan and Nur Izzati Aliah Fazli

    The application of queuing theory model using the DSW Algorithm and the L-R Method to optimize customer flow at Pizza Hut / Anis Natasha Mohamad Nizam, Nurfatihah Nadirah Noor Azlan and Nur Izzati Aliah Fazli by Mohamad Nizam, Anis Natasha, Noor Azlan, Nurfatihah Nadirah, Fazli, Nur Izzati Aliah

    Published 2022
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  9. 9
    Using a priori algorithm for supporting e-commerce system

    Using a priori algorithm for supporting e-commerce system by Ahmad Sharif, Mohammad Nazir, Bahari, Mahadi, Bakri, Aryati, Zakaria, Nor Hidayati

    Published 2005
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  10. 10
    Classification of credit card holder behavior using K Nearest Neighbor algorithm / Ahmad Faris Rahimi

    Classification of credit card holder behavior using K Nearest Neighbor algorithm / Ahmad Faris Rahimi by Rahimi, Ahmad Faris

    Published 2017
    “…Testing of the application are using 10-Fold Cross Validation technique. 90% of the data be used as a training and another 10% be used for the testing part. …”
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  11. 11
    Online food ordering application using Boyer-Moore algorithm / Muhammad Zulhilmie Dzulkifli

    Online food ordering application using Boyer-Moore algorithm / Muhammad Zulhilmie Dzulkifli by Dzulkifli, Muhammad Zulhilmie

    Published 2021
    “…The manual method often has a lack of knowledge that the menu that shows the customer does not provide any information that customers need, such as an image of the food or ingredients used in the menu. …”
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  12. 12
    Modified ant colony optimization algorithms for deterministic and stochastic inventory routing problems / Lily Wong

    Modified ant colony optimization algorithms for deterministic and stochastic inventory routing problems / Lily Wong by Lily , Wong

    Published 2018
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  13. 13
    Optimized crossover genetic algorithm for vehicle routing problem with time windows

    Optimized crossover genetic algorithm for vehicle routing problem with time windows by Nazif, Habibeh, Lee, Lai Soon

    Published 2010
    “…Problem statement: In this study, we considered the application of a genetic algorithm to vehicle routing problem with time windows where a set of vehicles with limits on capacity and travel time are available to service a set of customers with demands and earliest and latest time for serving. …”
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  14. 14
    Mathematical models and optimization algorithms for low-carbon Location-Inventory-Routing Problem with uncertainty

    Mathematical models and optimization algorithms for low-carbon Location-Inventory-Routing Problem with uncertainty by Liu, Lihua

    Published 2024
    “…This thesis also aims to solve the low-carbon LIRP model with uncertainty factors such as carbon trading, customer demand, shortages, and soft time windows using advanced algorithms. …”
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  15. 15
    An Email to Readable Vietnamese Text Conversion Algorithm for Use in TTS Application

    An Email to Readable Vietnamese Text Conversion Algorithm for Use in TTS Application by Tran, D.C., Son Ha, H., Quach, L.-D., Hassan, M.F.

    Published 2020
    “…However, it's text-to-speech (TTS), an essential part of the complete engine, is currently having difficulties in reading customer emails. Therefore, this work presents an email to readable Vietnamese text conversion algorithm for use in TTS application. …”
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  16. 16
    MINING CUSTOMER DATA FOR DECISION MAKING USING NEW HYBRID CLASSIFICATION ALGORITHM

    MINING CUSTOMER DATA FOR DECISION MAKING USING NEW HYBRID CLASSIFICATION ALGORITHM by Aurangzeb, khan, Baharum, Baharudin, Khairullah, khan

    Published 2011
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    Citation Index Journal
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  17. 17
    E-Grocery application with Geolocation and YOLO Algorithm / Ikhwan Nurhakim Zuzalli and Raihana Md Saidi

    E-Grocery application with Geolocation and YOLO Algorithm / Ikhwan Nurhakim Zuzalli and Raihana Md Saidi by Zuzalli, Ikhwan Nurhakim, Md Saidi, Raihana

    Published 2021
    “…It is essential to provide new platforms that benefit the user and are more convenient to use. The objective of this project is to develop an E-Grocery application using geolocation and YOLO algorithm. …”
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  18. 18
    Using a priori algorithm for supporting an e-commerce system

    Using a priori algorithm for supporting an e-commerce system by Ahmad Sharif, Mohammad Nazir, Ng, Moon Ching, Bakri, Aryati, Zakaria, Nor Hidayati

    Published 2005
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  19. 19
    Formulating and solving stochastic truck and trailer routing problems using meta-heuristic algorithms / Seyedmehdi Mirmohammadsadeghi

    Formulating and solving stochastic truck and trailer routing problems using meta-heuristic algorithms / Seyedmehdi Mirmohammadsadeghi by Seyedmehdi, Mirmohammadsadeghi

    Published 2015
    “…The solutions have then been significantly improved by the algorithms. In addition, travel and service times between customers may not be deterministic in real life applications. …”
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  20. 20
    Calculating customer experience management index for telecommunication service using genetic algorithm based weighted attributes

    Calculating customer experience management index for telecommunication service using genetic algorithm based weighted attributes by Khan, Nusratullah, Akram, M. Usman, Shah, Asadullah, Ahmed Khan, Shoab

    Published 2018
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