Search Results - (( java application mining algorithm ) OR ( problem segmentation mix 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
    Fully automated segmentation of the left ventricle in cine cardiac magnetic resonance imaging / Tan Li Kuo

    Fully automated segmentation of the left ventricle in cine cardiac magnetic resonance imaging / Tan Li Kuo by Tan, Li Kuo

    Published 2018
    “…In this thesis, two fully automatic algorithms for cardiac MRI were presented: the first for localization of the LV blood pool – a sub-problem for enabling subsequent automatic segmentation; and the second for segmentation of the LV with full coverage from base to apex across all cardiac phases. …”
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  8. 8
    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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  9. 9
    Extremal region detection and selection with fuzzy encoding for food recognition

    Extremal region detection and selection with fuzzy encoding for food recognition by Razali @ Ghazali, Mohd Norhisham

    Published 2019
    “…MSER provide discriminative features via global segmentation. The arbitrary shape of regions produced by the global segmentation is suitable to detect interest points from mixed food objects which are known to be characterised by non-rigid deformations and very large variations in appearance. …”
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  10. 10
    A headway and order scheme based mixed integer goal programming model for railway rescheduling / Zuraida Alwadood

    A headway and order scheme based mixed integer goal programming model for railway rescheduling / Zuraida Alwadood by Alwadood, Zuraida

    Published 2017
    “…This study is concerned with solving the railway rescheduling problem when disruption occurs on a track segment of the railway. …”
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  11. 11
    Heart murmur detection using supervised machine learning

    Heart murmur detection using supervised machine learning by Moulana, Saad Hafez, Luqman, Ahmad, Abdulghafor, Rawad Abdulkhaleq Abdulmolla, Wani, Sharyar, Ibrahim, Adamu Abubakar

    Published 2022
    “…In this research, we proposed supervised machine learning specifically Mel Frequency Cepstral Coefficient to solve the previously mentioned problem statements, the main objectives are: To segment the systolic and diastolic phases of a heartbeat, to identify the heartbeat sounds as it is mixed with background sounds and to classify the abnormal heartbeat sounds with murmurs present from the normal ones. …”
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