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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
    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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  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
    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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  8. 8
    Effect of adopting different dispatching rules on the mean flow time in a two machine batch-shop problem

    Effect of adopting different dispatching rules on the mean flow time in a two machine batch-shop problem by Abdelraheem Elhaj, Hazir Farouk

    Published 2005
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  9. 9
    Combined modal parameters-based index for damage identification in a beamlike structure: theoretical development and verification

    Combined modal parameters-based index for damage identification in a beamlike structure: theoretical development and verification by Fayyadh, M.M., Razak, H.A., Ismail, Z.

    Published 2011
    “…Moreover, damage in support condition was investigated in order to ascertain that the new damage index can also identify support damage cases. The results indicate that the new index has better ability and higher sensitivity to determine the severity of the damage due to stiffness changes in the element or support. …”
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  10. 10
    Genetic fuzzy scheduler for spectrum sensing in cognitive radio networks

    Genetic fuzzy scheduler for spectrum sensing in cognitive radio networks by Mohamedou, Ahmed, Sali, Aduwati, Mohd Ali, Borhanuddin

    Published 2012
    “…However, FIS scheduler is static and cannot adapt to the changing behavior of wireless environment. Therefore, Genetic Algorithm (GA) is used to give the proposed FIS scheduler the ability to evolve and adapt to new environment conditions. …”
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  11. 11
    River flow prediction based on improved machine learning method: Cuckoo Search-Artificial Neural Network

    River flow prediction based on improved machine learning method: Cuckoo Search-Artificial Neural Network by Zanial W.N.C.W., Malek M.B.A., Reba M.N.M., Zaini N., Ahmed A.N., Sherif M., Elshafie A.

    Published 2024
    “…Therefore, it is necessary to precisely estimate how the river flow will alter as a result of changing rainfall patterns. Finding the best value for the hyper-parameters is one of the problems with machine learning algorithms, which have lately been adopted by many academics. …”
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  12. 12
    Multi-objective multi-verse optimiser for integrated two-sided assembly sequence planning and line balancing

    Multi-objective multi-verse optimiser for integrated two-sided assembly sequence planning and line balancing by Mohd Fadzil Faisae, Ab Rashid, Nik Mohd Zuki, Nik Mohamed, Ahmad Nasser, Mohd Rose

    Published 2022
    “…The case study results indicated the applicability of proposed 2S-ASPLB model and algorithm to improve line efficiency in assembly line. …”
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  13. 13
    Modelling and optimisation of blood glucose control for type 1 diabetes using multi-parametric programming and model-based predictive control (mp-MPC) / Associate Professor Dr Ayub Md. Som

    Modelling and optimisation of blood glucose control for type 1 diabetes using multi-parametric programming and model-based predictive control (mp-MPC) / Associate Professor Dr Ayub... by Md. Som, Ayub

    Published 2014
    “…In doing so, Multi-Parametric Programming technique is used to develop the computer algorithm; whereas Model-Based Predictive Control (MPC) is adopted for the design of the controller. …”
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  14. 14
    Real-time moving objects tracking for distributed smart video surveillances

    Real-time moving objects tracking for distributed smart video surveillances by A. Aziz, Nor Nadirah, Mohd Mustafah, Yasir, Azman, Amelia Wong, Shafie, Amir Akramin, Yusoff, Muhammad Izad, Zainuddin, Nor Afiqah, Rashidan, Mohammad Ariff

    Published 2016
    “…The proposed algorithm was formulated based on visual and temporal cues for multiple cameras using entering/exiting and merging/splitting cases to deal with appearance changes and occlusion problems. …”
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  15. 15
    Facilitating resource allocation decision through Bibliomining: the case of UTM's library / Md Razib Karno

    Facilitating resource allocation decision through Bibliomining: the case of UTM's library / Md Razib Karno by Karno, Md Razib

    Published 2015
    “…With nearly 1 million records of collection in various formats, the Library of Universiti Teknologi Malaysia has been chosen as the case study for the research. The data mining technique was adopted to explore the relationship among statistically patterned and clustered bibliographic data. …”
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  16. 16
    Enhancing reservoir simulation models with genetic algorithm optimized neural networks across diverse climatic zones / Saad Mawlood Saab

    Enhancing reservoir simulation models with genetic algorithm optimized neural networks across diverse climatic zones / Saad Mawlood Saab by Saad Mawlood , Saab

    Published 2025
    “…The predicted data should be adopted while performing the reservoir simulation. …”
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  17. 17
    Improved power output forecastingtechnique for effective battery management in photovoltaic system / Utpal Kumar Das

    Improved power output forecastingtechnique for effective battery management in photovoltaic system / Utpal Kumar Das by Utpal, Kumar Das

    Published 2019
    “…In this process, an SVR-based model is developed based on the historical PV output power and most influential meteorological data of real PV station. A PSO-based algorithm is adopted for the appropriate selection of dominated parameters of SVR-based model to achieve better performance. …”
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  18. 18
    Stiffness reduction index for detection of damage location: Analytical study

    Stiffness reduction index for detection of damage location: Analytical study by Fayyadh, M.M., Razak, H.A.

    Published 2011
    “…The study has adopted the first four bending modes to examine the sensitivity of both existing as well as developed damage location indices. …”
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  19. 19
    Monitoring and assessment of weld penetration condition during pulse mode laser welding using air-borne acoustic signal

    Monitoring and assessment of weld penetration condition during pulse mode laser welding using air-borne acoustic signal by Mohd Fadhlan, Mohd Yusof

    Published 2021
    “…To develop the signal processing algorithm, multi-lag phase space (MLPS) method was adopted in which some modifications on its original algorithm were made by introducing the localized crest factor (CF) thresholding method to reduce the influence of noise. …”
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  20. 20
    Measuring Enterprise Architecture / Siti Fatimah Azzahra Ibrahim

    Measuring Enterprise Architecture / Siti Fatimah Azzahra Ibrahim by Ibrahim, Siti Fatimah Azzahra

    Published 2016
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