Search Results - (( using satisfaction clustering algorithm ) OR ( java application optimisation algorithm ))

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  1. 1
    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
    “…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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  2. 2
    A clustering technique using single pass clustering algorithm for search engine

    A clustering technique using single pass clustering algorithm for search engine by Indra, Z., Zamin, N., Jaafar, J.

    Published 2014
    “…In this research, a clustering technique for search engine using Single Pass Clustering (SPC) Algorithm is proposed. …”
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  3. 3
    Customer segmentation using clustering techniques / Mohamad Amir Salihin Mustafa

    Customer segmentation using clustering techniques / Mohamad Amir Salihin Mustafa by Mustafa, Mohamad Amir Salihin

    Published 2024
    “…This study explores clustering techniques for customer segmentation, focusing on the K-Means algorithm in particular, and uses a dataset that was obtained from the customer data of an international supermarket company. …”
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  4. 4
    Algorithm Development of Bidirectional Agglomerative Hierarchical Clustering Using AVL Tree with Visualization

    Algorithm Development of Bidirectional Agglomerative Hierarchical Clustering Using AVL Tree with Visualization by Hussain Mohammad Yousef Abu Dalbouh

    Published 2024
    thesis::doctoral thesis
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  5. 5
    A variant fisher and Jaikuamr algorithm to solve capacitated vehicle routing problem

    A variant fisher and Jaikuamr algorithm to solve capacitated vehicle routing problem by Sultana, Tanzima, Akhand, Md Aminul Haque, Rahman, M.M. Hafizur

    Published 2017
    “…Route generation is a traveling sales man problem (TSP) and any TSP optimization method is useful for this purpose. Fisher and Jaikumar algorithm is a well-known cluster based method which creates clusters with a geometric method partitioning the customer plane into equal angular cones where the total cones are equal to the number of vehicles. …”
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    Proceeding Paper
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  6. 6
    Customer profiling using K-means clustering method / Nik Asyraniasna Nik Mohd Asri

    Customer profiling using K-means clustering method / Nik Asyraniasna Nik Mohd Asri by Nik Mohd Asri, Nik Asyraniasna

    Published 2024
    “…Through the analysis of various customer data sets, such as people, products, promotion, place, the K-means algorithm can detect clusters that correspond to consistent client groups. …”
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  7. 7
    Density based subspace clustering: a case study on perception of the required skill

    Density based subspace clustering: a case study on perception of the required skill by Rahmat Widia, Sembiring

    Published 2014
    “…Each dimension will be tested to investigate whether having a relationship with the data on another cluster, using proposed subspace clustering algorithms. …”
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  8. 8
    Density subspace clustering: a case study on perception of the required skill

    Density subspace clustering: a case study on perception of the required skill by Sembiring, Rahmat Widia

    Published 2014
    “…Each dimension will be tested to investigate whether having a relationship with the data on another cluster, using proposed subspace clustering algorithms. …”
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  9. 9
    Customer mobile behavioral segmentation and analysis in telecom using machine learning

    Customer mobile behavioral segmentation and analysis in telecom using machine learning by Sharaf Addin, Eman Hussein, Admodisastro, Novia Indriaty, Mohd Ashri, Siti Nur Syahirah, Kamaruddin, Azrina, Chew, Yew Chong

    Published 2021
    “…Unsupervised machine learning algorithm K-means was used to cluster the data, and these results were analyzed and labeled with labels and descriptions. …”
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  10. 10
    Web-based expert system for material selection of natural fiber- reinforced polymer composites

    Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

    Published 2015
    “…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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  11. 11
    A framework of modified adaptive neuro-fuzzy inference engine

    A framework of modified adaptive neuro-fuzzy inference engine by Hossen, Md. Jakir

    Published 2012
    “…The Takagi-Sugeno-Kang (TSK) type fuzzy inference system was chosen and constructed by an automatic generation of clusters as well as membership functions and minimal rules through the use of hybrid fuzzy clustering and the modified apriori algorithms respectively. …”
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  12. 12
    i-ManGoeS

    i-ManGoeS by Ahmad, Khairul Adilah, Abdul Malik, Anis Faradella

    Published 2017
    “…Finally fuzzy learning algorithm will formulate the object features to classify the children activity and satisfaction.…”
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