Search Results - (( programme a statistical algorithm ) OR ( java application mining 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
    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
    Agent-based extraction algorithm for computational problem solving

    Agent-based extraction algorithm for computational problem solving by Rajabi, Maryam

    Published 2015
    “…Therefore, utilizing the agent-based featured agents for this purpose is a benefit with the aim of helping novice programmers to understand the CPS without knowing the programming language. …”
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  9. 9
    Prediction of MUET result based on KNN algorithm / Siti Fatimah Azzahra Hamrizan

    Prediction of MUET result based on KNN algorithm / Siti Fatimah Azzahra Hamrizan by Hamrizan, Siti Fatimah Azzahra

    Published 2021
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  10. 10
    New CFAR algorithm and circuit development for radar receiver

    New CFAR algorithm and circuit development for radar receiver by Kamal, Mustafa Subhi

    Published 2020
    “…The MSS-CFAR family is MSS-CA�CFAR, MSS-GO-CFAR, and MSS-SO-CFAR, MSS-CFAR family in addition to two core algorithms were studied which are cell averaged CA-CFAR family that includes the greatest of GO-CFAR and smallest of SO-CFAR and ordered statistics OS-CFAR family that include greatest of ordered statistics OSGO-CFAR and the smallest of ordered statistics OSSO-CFAR. …”
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  11. 11
    A machine learning approach of predicting high potential archers by means of physical fitness indicators

    A machine learning approach of predicting high potential archers by means of physical fitness indicators by Musa, Rabiu Muazu, Anwar, P. P. Abdul Majeed, Zahari, Taha

    Published 2019
    “…The present study classified and predicted high and low potential archers from a set of physical fitness variables trained on a variation of k-NN algorithms and logistic regression. 50 youth archers with the mean age and standard deviation of (17.0 ± 0.56) years drawn from various archery programmes completed a one end archery shooting score test. …”
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  12. 12
    A machine learning approach of predicting high potential archers by means of physical fitness indicators

    A machine learning approach of predicting high potential archers by means of physical fitness indicators by Muazu Musa, Rabiu, Abdul Majeed, Anwar P.P., Taha, Zahari, Chang, Siow Wee, Ab. Nasir, Ahmad Fakhri, Abdullah, Mohamad Razali

    Published 2019
    “…The present study classified and predicted high and low potential archers from a set of physical fitness variables trained on a variation of k-NN algorithms and logistic regression. 50 youth archers with the mean age and standard deviation of (17.0 ± 0.56) years drawn from various archery programmes completed a one end archery shooting score test. …”
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  13. 13
    Bioinformatics analysis and spatiotemporal distribution of the f lic gene and its protein isolated from Escherichia coli-infected patients in Eastern Algeria

    Bioinformatics analysis and spatiotemporal distribution of the f lic gene and its protein isolated from Escherichia coli-infected patients in Eastern Algeria by Harrar, Abdenassar, Awang Hamat, Rukman, Hamidechi, Mohamed Abdelhafid

    Published 2024
    “…Finally, a phylogenetic tree was constructed using the maximum likelihood algorithm in MEGA 11 software. …”
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  14. 14
    Bioinformatics analysis and spatiotemporal distribution of the fliC gene and its protein isolated from Escherichia coli-infected patients in eastern Algeria

    Bioinformatics analysis and spatiotemporal distribution of the fliC gene and its protein isolated from Escherichia coli-infected patients in eastern Algeria by Harrar, Abdenassar, Hamat, Rukman Awang, Hamidechi, Mohamed Abdelhafid

    Published 2024
    “…Finally, a phylogenetic tree was constructed using the maximum likelihood algorithm in MEGA 11 software. …”
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  15. 15
    Multi-objective flow measurement in software defined networks (SDN) for datacenter / Hamid Tahaei

    Multi-objective flow measurement in software defined networks (SDN) for datacenter / Hamid Tahaei by Hamid , Tahaei

    Published 2018
    “…The verification of both experiments is made with current state-of-the-art algorithms. To validate the simulation results, an available dataset from a public datacentre was used. …”
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  16. 16
    Ensemble learning for multidimensional poverty classification

    Ensemble learning for multidimensional poverty classification by Azuraliza Abu Bakar, Rusnita Hamdan, Nor Samsiah Sani

    Published 2020
    “…In addition, the United Nation Development Programme (UNDP) has introduced a set of multi-dimensional poverty measurements but is yet to be applied in the case of Malaysia. …”
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  17. 17
    Comparison of fuzzy time series and Arima model for predicting stock prices / Nor Syazwina Mohd Hanafiah ... [et al.]

    Comparison of fuzzy time series and Arima model for predicting stock prices / Nor Syazwina Mohd Hanafiah ... [et al.] by Mohd Hanafiah, Nor Syazwina, Shafii, Nor Hayati, Fauzi, Nur Fatihah, Md Nasir, Diana Sirmayunie, Mohamad Nor, Nor Azriani

    Published 2022
    “…These measurements were computed numerically and graphically using a statistical programme called EViews. The outcome shows that the ARIMA model performs better than the FTS model in terms of forecasting accuracy and provides the lowest values of MAPE, MSE, and RMSE, which are 10.58757, 0.926354, and 0.962473, respectively.…”
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  18. 18
    Method of Moment Analysis Using Open-Ended Coaxial Sensor in Determination of Corn Reflection Coefficient

    Method of Moment Analysis Using Open-Ended Coaxial Sensor in Determination of Corn Reflection Coefficient by Soleimani, Hojjatollah

    Published 2010
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  19. 19
    Effects of Ambient Tropospheric Ozone on Mr-219 Rice in the Muda Irrigation Scheme Area

    Effects of Ambient Tropospheric Ozone on Mr-219 Rice in the Muda Irrigation Scheme Area by Ismail, Marzuki

    Published 2005
    “…For plant growth and development study, yield is the most critical parameter. Statistically, a square root-Y equation epitomize the best fitting compared to other curvilinear models in describing yield reduction of rice plant due to ambient O3 stress (DWFG); represented by the following equation: DWF,= [9.636 - (0.0000303 * AOT~O)].' …”
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