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  1. 1
    Direct approach for mining association rules from structured XML data

    Direct approach for mining association rules from structured XML data by Abazeed, Ashraf Riad

    Published 2012
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    Thesis
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  2. 2
    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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  3. 3
    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
    “…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
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  4. 4
    Mining Sequential Patterns Using I-PrefixSpan

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

    Published 2007
    “…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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  5. 5
    A web-based implementation of k-means algorithms

    A web-based implementation of k-means algorithms by Lee, Quan

    Published 2022
    “…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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    Final Year Project / Dissertation / Thesis
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  6. 6
    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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  7. 7
    Small Farmers' Decisions: Utility Versus Profit Maximization

    Small Farmers' Decisions: Utility Versus Profit Maximization by Mohayidin, Mohd. Ghazali

    Published 1982
    “…The farmers' perception of the riskiness ofaltemative crops are also measured and a quadratic programming algorithm is used to derive the most efficient expected meanvariance (E- V) frontier of each farmer. …”
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  8. 8
    Optimizing Visual Surveillance Sensor Coverage Using Dynamic Programming

    Optimizing Visual Surveillance Sensor Coverage Using Dynamic Programming by Altahir, A.A., Asirvadam, V.S., Hamid, N.H.B., Sebastian, P., Saad, N.B., Ibrahim, R.B., Dass, S.C.

    Published 2017
    “…To validate the proposed algorithm, we compared the outcomes of the dynamic programming algorithm with the existing benchmarking placement optimization techniques. …”
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  9. 9
    Surveillance camera placement optimization using Particle Swarm Optimization (PSO) algorithm and Mixed-Integer Linear Programming (MILP) model / `Ain Safia Roslan

    Surveillance camera placement optimization using Particle Swarm Optimization (PSO) algorithm and Mixed-Integer Linear Programming (MILP) model / `Ain Safia Roslan by Roslan, `Ain Safia

    Published 2024
    “…This project explores the optimization of surveillance camera placements using Particle Swarm Optimization (PSO) and Mixed-Integer Linear Programming (MILP). …”
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  10. 10
    Reusability techniques in load-flow analysis computer program

    Reusability techniques in load-flow analysis computer program by Nor, K.M., Mokhlis, Hazlie, Gani, T.A.

    Published 2004
    “…The software is built by using component-based development and object oriented programming methodologies. …”
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  11. 11
    Optimization of milling parameters using ant colony optimization

    Optimization of milling parameters using ant colony optimization by Mohd Saupi, Mohd Sauki

    Published 2008
    “…The result obtained from this simulation will compare with another method like Genetic Algorithm (GA) and Linear Programming Technique (LPT) to validation. …”
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    Undergraduates Project Papers
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  12. 12
    Global optimal analysis of variant genetic operations in solar tracking

    Global optimal analysis of variant genetic operations in solar tracking by Fam D.F., Koh S.P., Tiong S.K., Chong K.H.

    Published 2023
    “…Genetic Algorithms (GAs), Evolution Strategies (ES), Evolutionary Programming (EP) and Genetic Programming (GP) are some of the best known types of Evolutionary Algorithm (EA)where it is a class of global search algorithms inspired by natural evolution. …”
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  13. 13
    Profit Maximization of a Crude Distillation Unit

    Profit Maximization of a Crude Distillation Unit by Ali, Syed, Yusoff, Nooryusmiza, ganguly, saibal

    Published 2013
    “…A nonlinear steady state model is used to simulate a crude distillation unit later optimized using sequential quadratic programming (SQP) algorithm. …”
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  14. 14
    Features selection for intrusion detection system using hybridize PSO-SVM

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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  15. 15
    Crop planning optimization on paddy fields under MADA using goal programming / Nur Izzah Naimi Mohd Radzi

    Crop planning optimization on paddy fields under MADA using goal programming / Nur Izzah Naimi Mohd Radzi by Mohd Radzi, Nur Izzah Naimi

    Published 2021
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  16. 16
    Evolutionary algorithm optimization for dynamic economic dispatch considering uncertainties / Khairul Faizee Korsin

    Evolutionary algorithm optimization for dynamic economic dispatch considering uncertainties / Khairul Faizee Korsin by Korsin, Khairul Faizee

    Published 2017
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  17. 17
    Optimization of multipurpose reservoir operation using evolutionary algorithms / Mohammed Heydari

    Optimization of multipurpose reservoir operation using evolutionary algorithms / Mohammed Heydari by Mohammed , Heydari

    Published 2017
    “…An improved particle swarm algorithm (HPSOGA) is used to solve complex problems of water resources optimization. …”
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  18. 18
    Final examination time table scheduling using integer programming with average time slot gap minimization

    Final examination time table scheduling using integer programming with average time slot gap minimization by Nur Hidayah Abdul Jamil, Nor Aliza Ab Rahmin, Athirah Nawawi

    Published 2024
    “…We used an integer programming approach with an average time slot over the examination for this examination scheduling problem. …”
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  19. 19
    A Simulated Annealing Approach to Solve Fuzzy Multi-Objective Linear Model for Supplier Selection in a Supply Chain

    A Simulated Annealing Approach to Solve Fuzzy Multi-Objective Linear Model for Supplier Selection in a Supply Chain by Parthiban, P, Dominic P, Dhanapal Durai, dhanalakshmi, p

    Published 2010
    “…Finally the problem is solved by using simulated annealing algorithm to enable the decision-maker to select the right suppliers and allocate their quota in order to minimize the cost, maximize the quality level and again maximize the service level.…”
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  20. 20
    Final examination time table scheduling using integer programming with average time slot gap minimization

    Final examination time table scheduling using integer programming with average time slot gap minimization by Abdul Jamil, Nur Hidayah, Ab Rahmin, Nor Aliza, Nawawi, Athirah

    Published 2024
    “…We used an integer programming approach with an average time slot over the examination for this examination scheduling problem. …”
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