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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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  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
    Cluster head selection using fuzzy logic and chaotic based genetic algorithm in wireless sensor network

    Cluster head selection using fuzzy logic and chaotic based genetic algorithm in wireless sensor network by Karimi, Abbas, Abedini, S. M., Zarafshan, Faraneh, Syed Mohamed, Syed Abdul Rahman Al-Haddad

    Published 2013
    “…In this paper, fuzzy logic and chaotic based genetic algorithms are combined to extend the lifetime of sensor nodes. …”
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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
    “…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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  6. 6
    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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  7. 7
    Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things

    Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things by Hadi, Ahmed Adnan

    Published 2022
    “…Here, the memory consumption can be reduced by enabling a feature selection algorithm that excludes nonrelevant features and preserves the relevant ones. the algorithm is developed based on the variable length of the PSO. …”
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  8. 8
    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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  9. 9
    Random Amplified Polymorphic DNA Analysis of Four Breeds of Sheep in Malaysia

    Random Amplified Polymorphic DNA Analysis of Four Breeds of Sheep in Malaysia by Vijaya Kumar

    Published 1999
    “…High genetic values were seen within the Santa Ines breed (Dice: 0.0930; Jaccard: 0.1682) while the least variable population was the Dorset-Malin cross (Dice: 0.00693; Jaccard: 0.1280). …”
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  10. 10
    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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  11. 11
    Deterministic Mutation-Based Algorithm for Model Structure Selection in Discrete-Time System Identification

    Deterministic Mutation-Based Algorithm for Model Structure Selection in Discrete-Time System Identification by Abd Samad, Md Fahmi

    Published 2011
    “…A deterministic mutation-based algorithm is introduced to overcome this problem. Identification studies using NARX (Nonlinear AutoRegressive with eXogenous input) models employing simulated systems and real plant data are used to demonstrate that the algorithm is able to detect significant variables and terms faster and to select a simpler model structure than other well-known EC methods.…”
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  12. 12
    DESIGN AND IMPLEMENTATION OF INTELLIGENT MONITORING SYSTEMS FOR THERMAL POWER PLANT BOILER TRIPS

    DESIGN AND IMPLEMENTATION OF INTELLIGENT MONITORING SYSTEMS FOR THERMAL POWER PLANT BOILER TRIPS by FIRAS BASIM, ISMAIL ALNAIMI

    Published 2011
    “…The encoding and optimization process using genetic algorithms has been applied successfully. …”
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  13. 13
    Adopting genetic algorithm to enhance state-sensitivity partitioning

    Adopting genetic algorithm to enhance state-sensitivity partitioning by Sultan, Ammar Mohammed, Baharom, Salmi, Abd Ghani, Abdul Azim, Din, Jamilah, Zulzalil, Hazura

    Published 2015
    “…Therefore, there is a need to optimize those test cases generated by the SSP in enhancing its effectiveness in detecting faults. Genetic algorithm (GA) has been identified as the most common potential technique among several optimization techniques. …”
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  14. 14
    Adopting genetic algorithm to enhance state-sensitivity partitioning

    Adopting genetic algorithm to enhance state-sensitivity partitioning by Mohammed Sultan, Ammar, Baharom, Salmi, Abd Ghani, Abdul Azim, Din, Jamilah, Zulzalil, Hazura

    Published 2015
    “…Therefore, there is a need to optimize those test cases generated by the SSP in enhancing its effectiveness in detecting faults. Genetic algorithm (GA) has been identified as the most common potential technique among several optimization techniques.Thus, GA is investigated for the integrating with the existing SSP. …”
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  15. 15
    Adopting A Particle Swarm-Based Test Generator Strategy For Variable-Strength And T-Way Testing

    Adopting A Particle Swarm-Based Test Generator Strategy For Variable-Strength And T-Way Testing by S. Ahmed, Bestoun

    Published 2011
    “…Recently, researchers have started to explore the use of Artificial Intelligence (AI)-based algorithms as t-way (where t indicates the interaction strength) and variable-strength testing strategies. …”
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  16. 16
    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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  17. 17
    Isolation, detection and genomic differentiation of escherichia coli from aquatic environments in Kelantan, Malaysia

    Isolation, detection and genomic differentiation of escherichia coli from aquatic environments in Kelantan, Malaysia by Rathi, A., Thong, Kwai Lin, Chong, V.C.

    Published 2009
    “…Overall, REP-PCR generated high genetic variability within the E. coli isolates. REP-PCR is a promising molecular method for determining the genomic diversity of environmental E. coli strains.…”
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  18. 18
    AI Adoption for Steam Boiler Trip Prevention in Thermal Power Plants

    AI Adoption for Steam Boiler Trip Prevention in Thermal Power Plants by Ismail F.B., Al-Kayiem H.H., Kazem H.A.

    Published 2025
    “…The first intelligent system capitalizes on a pure Artificial Neural Network (ANN) approach, leveraging the insights drawn from plant operators' decision-making processes concerning the key variables influencing each specific boiler trip. On the other hand, the second system takes a hybrid approach, incorporating Genetic Algorithms (GAs) to emulate the decision-making role of plant operators in identifying the most influential variables for each trip. …”
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  19. 19
    Characterization and pathogenicity of Rhizoctonia spp isolated from various crop species in different agroecosystems in Malaysia

    Characterization and pathogenicity of Rhizoctonia spp isolated from various crop species in different agroecosystems in Malaysia by Rashed, Osamah Zaid Ali

    Published 2017
    “…Similarly, the virulent among various anastomosis groups in this study showed that AG-1 IA, AG-4 GH-I and AG-2-2 IV were more virulent than AG-1 ID, AG-Fa and AG-A. Genetic variability was detected using RAPD, iPBS and ISSR markers. …”
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  20. 20
    Non-weighted aggregate evaluation function of multi-objective optimization for knock engine modeling

    Non-weighted aggregate evaluation function of multi-objective optimization for knock engine modeling by Witwit, Azher Razzaq Hadi

    Published 2017
    “…It also aims to optimize the nonlinear nature of the factors by using Genetic Algorithm (GA) as well as investigate the behavior of such function. …”
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