Search Results - (( java application mining algorithm ) OR ( parameter intervention model algorithm ))

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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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    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
    VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS.

    VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS. by FAROOQ, HUMERA

    Published 2012
    “…It is noted that active user intervention increases the acceleration of Genetic Algorithm towards an optimal solution. …”
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  8. 8
    Estimation of the Epidemiological Parameter for the COVID-19 Outbreak

    Estimation of the Epidemiological Parameter for the COVID-19 Outbreak by Muhammad Fahmi, Ahmad Zuber, Norhayati, Rosli, Noryanti, Muhammad

    Published 2024
    “…Estimation of the epidemiological parameters of the SIRD model is crucial for understanding the virus's transmission and effect of the virus, thus, helping in making informed decisions about the required interventions. …”
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  9. 9
    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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  10. 10
    Epidemiological parameter estimation of sird model for covid-19 outbreak

    Epidemiological parameter estimation of sird model for covid-19 outbreak by Muhammad Fahmi, Ahmad Zuber, Norhayati, Rosli, Noryanti, Muhammad

    Published 2022
    “…This paper is devoted to the parameter estimation of the SIRD model using the Markov Chain Monte Carlo (MCMC) method of the Metropolis Hasting algorithm. …”
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  11. 11
    Golden exponential smoothing: a self-adjusted method for identifying optimum alpha / Foo Fong Yeng, Azrina Suhaimi and Soo Kum Yoke

    Golden exponential smoothing: a self-adjusted method for identifying optimum alpha / Foo Fong Yeng, Azrina Suhaimi and Soo Kum Yoke by Yeng, Foo Fong, Suhaimi, Azrina, Yoke, Soo Kum

    Published 2020
    “…The findings show that the GES model is self-adjusted according to the situation and converged fast in the algorithm training process. …”
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  12. 12
    Mathematical modelling of covid-19 transmission and vaccine effectiveness for a university

    Mathematical modelling of covid-19 transmission and vaccine effectiveness for a university by Shahirah Atikah, Mohamad Husnin

    Published 2024
    “…Then, the model's complexity was increased to Model II, utilizing the time-dependent epidemiological parameters. …”
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  13. 13
    Performance of hybrid GANN in comparison with other standalone models on dengue outbreak prediction

    Performance of hybrid GANN in comparison with other standalone models on dengue outbreak prediction by Husin, Nor Azura, Mustapha, Norwati, Sulaiman, Md. Nasir, Yaacob, Razali, Hamdan, Hazlina, Hussin, Masnida

    Published 2016
    “…The result showed that neighboring location of dengue cases was very effective in predicting the dengue outbreak and it is proven that the hybrid Genetic Algorithm and Neural Network (GANN) model significantly outperforms standalone models namely regression and Neural Network (NN).…”
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  14. 14
    Binary Coati Optimization Algorithm- Multi- Kernel Least Square Support Vector Machine-Extreme Learning Machine Model (BCOA-MKLSSVM-ELM): A New Hybrid Machine Learning Model for Predicting Reservoir Water Level

    Binary Coati Optimization Algorithm- Multi- Kernel Least Square Support Vector Machine-Extreme Learning Machine Model (BCOA-MKLSSVM-ELM): A New Hybrid Machine Learning Model for Pr... by Sammen S.S., Ehteram M., Sheikh Khozani Z., Sidek L.M.

    Published 2024
    “…Predicting reservoir water level is complex because it depends on factors such as climate parameters and human intervention. Therefore, predicting water level needs robust models. …”
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  15. 15
    Hand, Foot and Mouth Disease (HFMD)'s Hotspot Identification using Bipartite Network Model

    Hand, Foot and Mouth Disease (HFMD)'s Hotspot Identification using Bipartite Network Model by Nor Shamira, Sabri

    Published 2020
    “…The location nodes in the targeted and validated models were ranked using the web-based search algorithms according to the respective ranking values. …”
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  16. 16
    Simulation of COVID-19 outbreaks via graphical user interface (GUI)

    Simulation of COVID-19 outbreaks via graphical user interface (GUI) by Mohd Jamil, Norazaliza, Rosli, Norhayati, Muhammad, Noryanti

    Published 2021
    “…An improved SIRD model was solved via the 4th order Runge-Kutta (RK4) method and 14 unknown parameters were estimated by using Nelder- Mead algorithm and pattern-search technique. …”
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  17. 17
    A fast learning network with improved particle swarm optimization for intrusion detection system

    A fast learning network with improved particle swarm optimization for intrusion detection system by Ali, Mohammed Hasan

    Published 2019
    “…However, the internal power parameters (weight and basis) of FLN are initialized at random, causing the algorithm to be unstable. …”
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  18. 18
    Modified Seird model: a novel system dynamics approach in modelling the spread of Covid-19 in Malaysia during the pre-vaccination period

    Modified Seird model: a novel system dynamics approach in modelling the spread of Covid-19 in Malaysia during the pre-vaccination period by Zulkarnain, Norsyahidah, Mohammad, Nurul Farahain, Ahmed Shogar, Ibrahim Adam

    Published 2023
    “…This study implemented the preliminary stage of forecasting the COVID-19 data using the proposed SEIRD model and highlighted the importance of parameter optimization. …”
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  19. 19
    IoT-based Machine Learning Comparative Models of Stream Water Parameters Forecasting for Freshwater Lobster

    IoT-based Machine Learning Comparative Models of Stream Water Parameters Forecasting for Freshwater Lobster by Bakhit, Abdelmoneim Ahmed, Nur Syahirah, Mohd Sabli, Mohd Faizal, Jamlos, Mohd Aminudin, Jamlos, N. H., Ramli, Muhammad Aqil, Hafizzan Nordin, Alhaj, Nura Abdalrhman, Ali, Ehtesham

    Published 2024
    “…Our findings underscore the efficacy of ARIMA for comprehensive water quality via stream prediction while highlighting the nuanced strengths and weaknesses of each model in forecasting specific parameters. This study contributes to the aquaculture literature by providing a nuanced comparative analysis of predictive models tailored to freshwater lobster farming, emphasizing the imperative role of stream predictive modelling. …”
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  20. 20
    Improved model for blood glucose control using Multi-Parametric Model Predictive Control (MP-MPC) / Nur Farhana Mohd Yusof

    Improved model for blood glucose control using Multi-Parametric Model Predictive Control (MP-MPC) / Nur Farhana Mohd Yusof by Mohd Yusof, Nur Farhana

    Published 2019
    “…As a result, we managed to have a good correlation on interactions between the parameters in glucose-insulin intervention. For model validation purpose, actual patient data which refers to data of critically ill patients in this research are used due to scarcity of data available for type 1 diabetes patient in Malaysia. …”
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