Search Results - (( java implementation mining algorithm ) OR ( pattern chain efficient 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
    “…The thesis also provides a two different implementation of the modified FLEX algorithm using a java based parsers and XQuery implementation. …”
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  2. 2
    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
    “…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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  3. 3
    Scalable approach for mining association rules from structured XML data

    Scalable approach for mining association rules from structured XML data by Abazeed, Ashraf Riad, Mamat, Ali, Sulaiman, Md. Nasir, Ibrahim, Hamidah

    Published 2009
    “…Many techniques have been proposed to tackle the problem of mining XML data we study the various techniques to mine XML data and yet We presented a java based implementation of FLEX algorithm for mining XML data.…”
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  4. 4
    Mining association rules from structured XML data

    Mining association rules from structured XML data by Abazeed, Ashraf Riad, Mamat, Ali, Sulaiman, Md. Nasir, Ibrahim, Hamidah

    Published 2009
    “…Many techniques have been proposed to tackle the problem of mining XML data. We study the various techniques to mine XML data and yet We presented a java based implementation of FLEX algorithm for mining XML data.…”
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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
    Image clustering comparison of two color segmentation techniques

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…The clustering research is regarding the area of data mining and implementation of the clustering algorithms. …”
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  7. 7
    A comprehensive 3-phase framework for determining the customer’s product usage in a food supply chain

    A comprehensive 3-phase framework for determining the customer’s product usage in a food supply chain by Mad Ali, Mohd Fahmi, Mohd Ariffin, Mohd Khairol Anuar, Delgoshaei, Aidin, Mustapha, Faizal, Supeni, Eris Elianddy

    Published 2022
    “…Moreover, using Calinski-Harabasz Index, it was found that the algorithm provided more logic scores while the number of product patterns was 3 for the studied region (707.54).…”
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  8. 8
    Development of bi-objective optimization model for supply chain network design using data envelopment analysis

    Development of bi-objective optimization model for supply chain network design using data envelopment analysis by Rahimi, Iman

    Published 2017
    “…First objective is obtaining an optimal DEA efficiency score simultaneously with facility location pattern for two stages supply chain are studied as a bi-objective model, and a trade-off between facility location cost with facility efficiency score alongside sensitive analysis in the supply chain are shown. …”
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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
    “…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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  10. 10
    Leveraging artificial intelligence in modern supply chains

    Leveraging artificial intelligence in modern supply chains by Ng, Qiao Ying

    Published 2025
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  11. 11
    Dealing with Routing Hole Problem in Multi-hop Hierarchical Routing Protocol in Wireless Sensor Network

    Dealing with Routing Hole Problem in Multi-hop Hierarchical Routing Protocol in Wireless Sensor Network by Sama, Najm Us

    Published 2019
    “…Second, to reduce the routing hole problem an Energy efficient Least Edge Computation (ELEC) multi-hop clustering algorithm for WSN is proposed, which achieves nearly double network lifetime by equal energy consumption in various parts of the network as compared to existing routing strategies. …”
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  12. 12
    Error concealment technique using wavelet neural network for wireless transmitted digital images

    Error concealment technique using wavelet neural network for wireless transmitted digital images by Al-Azzawi, Alaa Khamees

    Published 2012
    “…Several techniques have been proposed in the past decade, particularly error concealment (EC) algorithms. In this study, attention is focused on the algorithms that have high efficiency to fill-in the damaged patches, for example, Multi-directional interpolation (MDI), neighboring matching EC, etc. …”
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  13. 13
    ExtraImpute: a novel machine learning method for missing data imputation

    ExtraImpute: a novel machine learning method for missing data imputation by Alabadla, Mustafa, Sidi, Fatimah, Ishak, Iskandar, Ibrahim, Hamidah, Affendey, Lilly Suriani, Hamdan, Hazlina

    Published 2022
    “…This approach imputes each missing value that exists in features by predicting its value using other observed values in the dataset. To evaluate the efficiency of our algorithm, several experiments are conducted on five different benchmark healthcare datasets and compared to other commonly used imputation methods, viz. missForest, KNNImpute, Multivariate Imputation by Chained Equations (MICE), and SoftImpute. …”
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  14. 14
    Forecasting inflation rate in Malaysia using Artificial Neural Network (ANN) Approach / Muhammad Athir Mohd Junaidi and Siti Aishah Mohd Shafie

    Forecasting inflation rate in Malaysia using Artificial Neural Network (ANN) Approach / Muhammad Athir Mohd Junaidi and Siti Aishah Mohd Shafie by Mohd Junaidi, Muhammad Athir, Mohd Shafie, Siti Aishah

    Published 2023
    “…It also used as a supplement for statistical chains to predict future values rate to make sure that the data accurately reflect the pattern of the inflation rate in Malaysia. …”
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  15. 15
    Forecasting inflation rate in Malaysia using Artificial Neural Network (ANN) approach / Muhammad Athir Mohd Junaidi and Siti Aishah Mohd Shafie

    Forecasting inflation rate in Malaysia using Artificial Neural Network (ANN) approach / Muhammad Athir Mohd Junaidi and Siti Aishah Mohd Shafie by Mohd Junaidi, Muhammad Athir, Mohd Shafie, Siti Aishah

    Published 2023
    “…It also used as a supplement for statistical chains to predict future values rate to make sure that the data accurately reflect the pattern of the inflation rate in Malaysia. …”
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