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  1. 1
    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection

    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection by Saputra , Dhany, Rambli, Dayang R.A., Foong, Oi Mean

    Published 2008
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  2. 2
    Study and Implementation of Data Mining in Urban Gardening

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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  3. 3
    Mining Sequential Patterns using I-PrefixSpan

    Mining Sequential Patterns using I-PrefixSpan by Saputra , Dhany, Dayang R.A. Rambli, Foong, Oi Mean

    Published 2008
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    Citation Index Journal
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  4. 4
    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde

    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

    Published 2022
    “…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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  5. 5
    Mining Sequential Patterns Using I-PrefixSpan

    Mining Sequential Patterns Using I-PrefixSpan by Dhany , Saputra, Rambli Dayang, R.A., Foong, Oi Mean

    Published 2007
    “…In this paper, we propose an improvement of pattern growth-based PrefixSpan algorithm, called I-PrefixSpan. The general idea of I-PrefixSpan is to use the efficient data structure for general tree-like framework and separator database to reduce the execution time and memory usage. …”
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  6. 6
    AI powered asthma prediction towards treatment formulation: an android app approach

    AI powered asthma prediction towards treatment formulation: an android app approach by Murad, Saydul Akbar, Adhikary, Apurba, Md Muzahid, Abu Jafar, Sarker, Md Murad Hossain, Khan, Md. Ashikur Rahman, Hossain, Md. Bipul, Bairagi, Anupam Kumar, Masud, Mehedi, Kowsher, Md

    Published 2022
    “…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
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  7. 7
    A New Proposed Pendulum-Like with Attraction-Repulsion mechanism Algorithm for Solving Optimization Problems

    A New Proposed Pendulum-Like with Attraction-Repulsion mechanism Algorithm for Solving Optimization Problems by Abed I.A., Koh S.P., Sahari K.S.M., Tiong S.K., Ali M.M., Abdul Kadhim A.A.

    Published 2023
    “…PA algorithm has been constructed with the purpose of solving inverse kinematics (IK) problem. …”
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  8. 8
    AI powered asthma prediction towards treatment formulation : An android app approach

    AI powered asthma prediction towards treatment formulation : An android app approach by Murad, Saydul Akbar, Adhikary, Apurba, Muzahid, Abu Jafar Md, Sarker, Md. Murad Hossain, Khan, Md. Ashikur Rahman, Hossain, Md. Bipul, Bairagi, Anupam Kumar, Masud, Mehedi, Kowsher, Md.

    Published 2022
    “…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
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  9. 9
    Single Fitness Function to Optimize Energy using Genetic Algorithms for Wireless Sensor Network

    Single Fitness Function to Optimize Energy using Genetic Algorithms for Wireless Sensor Network by Ismail Abdullah, Kalid Abdlkader Marsal

    Published 2024
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  10. 10
    Hybrid-discrete multi-objective particle swarm optimization for multi-objective job-shop scheduling

    Hybrid-discrete multi-objective particle swarm optimization for multi-objective job-shop scheduling by Anuar, Nurul Izah

    Published 2022
    “…The experimentations of the proposed algorithm are conducted using existing benchmark instances and a published case study on an energy-efficient job-shop model. …”
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  11. 11
    Detection of Counterfeit Telecommunication Products using Luhn Checksum Algorithm and an Adapted IMEI Authentication Method

    Detection of Counterfeit Telecommunication Products using Luhn Checksum Algorithm and an Adapted IMEI Authentication Method by Amusa, Morufu, Bamidele, Oluwade

    Published 2020
    “…This algorithm is generally used to validate identification numbers such as IMEI, debit/credit card numbers, social security numbers, national identification numbers etc. …”
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  12. 12
    Development and validation of promoter prediction system for recombinant lipase expression in Pichia pastoris

    Development and validation of promoter prediction system for recombinant lipase expression in Pichia pastoris by Gogo, Mayaki Fatima

    Published 2017
    “…LipExPS was able to address the problem of promoter/host choice in lipase expression when using P. pastoris as a host by predicting the promoters that can be used to express the gene submitted to LipExPS. …”
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  13. 13
    Efficient transmission based on genetic evolutionary algorithm

    Efficient transmission based on genetic evolutionary algorithm by Jin Fan, Kit Guan Lim, Helen Sin Ee Chuo, Min Keng Tan, Ali Farzamnia, Kenneth Tze Kin Teo

    Published 2022
    “…The basic working principle and main characteristics of genetic algorithm (GA) are summarized, and the theory, technology and existing problems of GA are discussed. …”
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  14. 14
    Neuro-fuzzy genetic algorithm

    Neuro-fuzzy genetic algorithm by Varnamkhasti, Mohammad Jalali, Lee, Lai Soon

    Published 2009
    “…Premature convergence is a classical problem in finding optimal solution in Genetic Algorithms (GAs). …”
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  15. 15
    Computer Aided Slope Stability Analysis Using Optimization And Parallel Computing Techniques

    Computer Aided Slope Stability Analysis Using Optimization And Parallel Computing Techniques by Tabarroki, Mohammad

    Published 2013
    “…Then, to demonstrate the simplicity of this algorithm and to promote the latest research on slope stability, three state-of-the-art optimization techniques are implemented, and their effectiveness and efficiency in detecting single/multiple global and local minima is investigated on a series of test problems.…”
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  16. 16
    Optimizing in-car-abandoned children’s sounds detection using deep learning algorithms / Nur Atiqah Izzati Md Fisol

    Optimizing in-car-abandoned children’s sounds detection using deep learning algorithms / Nur Atiqah Izzati Md Fisol by Md Fisol, Nur Atiqah Izzati

    Published 2023
    “…Children abandoned in vehicles is a critical issue that has led to numerous fatal injuries worldwide. To address this problem, an optimized in-car-abandoned children's sounds detection model using deep learning algorithms is proposed. …”
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  17. 17
    African Buffalo Optimization Algorithm for Collision-Avoidance in Electric Fish

    African Buffalo Optimization Algorithm for Collision-Avoidance in Electric Fish by Odili, Julius Beneoluchi, Noraziah, Ahmad, Mohd Helmy, Abd Wahab

    Published 2020
    “…After a number of experimental procedures using the concept of the travelling salesman’s problem to simulate collision-avoidance in electric fish, this study concludes that the African Buffalo Optimization is a veritable tool for simulating collision avoidance in electric fishes.…”
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  18. 18
    Applying case reuse and Rule-Based Reasoning (RBR) in object-oriented application framework documentation: Analysis and design

    Applying case reuse and Rule-Based Reasoning (RBR) in object-oriented application framework documentation: Analysis and design by Jani H.M., Lee S.P.

    Published 2023
    “…The use of rule-based reasoning and genetic algorithms will optimize the case search and case adaptation process. �2008 IEEE.…”
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  19. 19
    On Adopting Parameter Free Optimization Algorithms for Combinatorial Interaction Testing

    On Adopting Parameter Free Optimization Algorithms for Combinatorial Interaction Testing by Kamal Z., Zamli, Alsariera, Yazan A., Nasser, Abdullah B., Alsewari, Abdulrahman A.

    Published 2015
    “…Although useful, strategies based on the aforementioned optimization algorithms are not without limitation. …”
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  20. 20
    Building customer churn prediction models in Indonesian telecommunication company using decision tree algorithm

    Building customer churn prediction models in Indonesian telecommunication company using decision tree algorithm by Ramadhanti,, Darin, Larasati, Aisyah, Muid, Abdul, Mohamad, Effendi

    Published 2023
    “…This study uses data mining techniques with decision tree algorithms to predict customer churn in one of Indonesian Telecommunication companies. …”
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