Search Results - (( java application mining algorithm ) OR ( parameter application stemming 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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    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
    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
    Classification of basal stem rot disease in oil palm using dielectric spectroscopy

    Classification of basal stem rot disease in oil palm using dielectric spectroscopy by Al-Khaled, Al-Fadhl Yahya Khaled

    Published 2018
    “…However, studies on its application on basal stem rot (BSR) disease in oil palm are yet to be explored. …”
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  9. 9
    The application of conjugate gradient methods to optimize 3D printed parameters

    The application of conjugate gradient methods to optimize 3D printed parameters by Mohd Yussoff, Nurul Hajar, Nurul ‘Aini, Shapiee, Norrlaili, Rivaie, Mohd, Samsudin, Adam, Hussin, Nor Hafizah, Hairol Anuar, Siti Haryanti

    Published 2024
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  10. 10
    DEVELOPMENT OF OE-BASED BROWN-FORSYTHE TEST ALGORITHM FOR CONTROL VALVE STICTION DETECTION

    DEVELOPMENT OF OE-BASED BROWN-FORSYTHE TEST ALGORITHM FOR CONTROL VALVE STICTION DETECTION by JOLENE DIANDRA, JAMES

    Published 2018
    “…A sensitivity analysis is also conducted for process gain, K and time constant, τ model parameters, whereby the method is considered satisfactorily robust as it is shown to be insensitive to ±10% of changes in the model parameters. …”
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    Final Year Project Report / IMRAD
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  11. 11
    MODELLING AND CONTROL OF MULTI-FINGERED ROBOT HAND USING INTELLIGENT TECHNIQUES

    MODELLING AND CONTROL OF MULTI-FINGERED ROBOT HAND USING INTELLIGENT TECHNIQUES by WAN TARMIZI, WAN FAIZURA

    Published 2014
    “…Yet few can be found in an industrial application. The difficulties stem from many factors, one of which is that the lack of general and effective control techniques for the manipulation of robot hand. …”
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  12. 12
    The Application of Conjugate Gradient Methods to Optimize 3D Printed Parameters

    The Application of Conjugate Gradient Methods to Optimize 3D Printed Parameters by Nurul Hajar, Nurul ‘Aini, Norrlaili Shapiee, Mohd Rivaie, Adam Samsudin, Nor Hafizah Hussin, Siti Haryanti Hairol Anuar

    Published 2024
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  13. 13
    Intelligent grading of agarwood essential oil quality using artificial neural network (ANN) / Noratikah Zawani Mahabob

    Intelligent grading of agarwood essential oil quality using artificial neural network (ANN) / Noratikah Zawani Mahabob by Mahabob, Noratikah Zawani

    Published 2022
    “…The oil is extracted from the stems of resin-impregnated agarwood trees. Agarwood essential oil has been used in various applications, including incense, perfumery, medicinal purposes and religious ceremonies. …”
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  14. 14
    Predicting the popularity of tweets using the theory of point processes.

    Predicting the popularity of tweets using the theory of point processes. by Tan, Wai Hong

    Published 2019
    “…The proposed EB approach of inference is applicable on other point process models, such as the MaSEPTiDE model, to improve the prediction performance and computational efficiency. …”
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    UMK Etheses
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  15. 15
    REGION-BASED ADAPTIVE DISTRIBUTED VIDEO CODING CODEC

    REGION-BASED ADAPTIVE DISTRIBUTED VIDEO CODING CODEC by ABDELRAHMAN ELAMIN, ABDELRAHMAN ELAMIN

    Published 2011
    “…The partitioning allows allocation of appropriate DVC coding parameters (virtual channel, rate, and quantizer) to each region. …”
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  16. 16
    Review on gas-liquid mixing analysis in multiscale stirred vessel using CFD

    Review on gas-liquid mixing analysis in multiscale stirred vessel using CFD by Sajjadi, B., Abdul Raman, Abdul Aziz, Ibrahim, Shaliza, Shah, R.S.S.R.E.

    Published 2012
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  17. 17
    Evaluation of multiple In Situ and remote sensing system for early detection of Ganoderma boninense infected oil palm

    Evaluation of multiple In Situ and remote sensing system for early detection of Ganoderma boninense infected oil palm by Ahmadi, Seyedeh Parisa

    Published 2018
    “…Ganoderma boninense is a causal agent of basal stem rot (BSR) and is responsible for a significant portion of oil palm (Elaeis guineensis) losses, which can reach USD 500 million a year in South East Asia. …”
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