Search Results - (( java implication based algorithm ) OR ( order implementation mining algorithm ))

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  1. 1

    A collaborative filtering recommender system for infrequently purchased product using slope-one algorithm and association rule mining by Zolhani, Nur Azleen

    Published 2015
    “…This is due to the fact that travelling are expensive and time consuming. This project implement the collaborative filtering using slope-one algorithm and also implement association rule mining in recommending hotels for tourist. …”
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    Thesis
  2. 2

    Web usage mining for UUM learning care using association rules by Ramli, Azizul Azhar

    Published 2004
    “…E-Leaming is one of the Web based application where it will facing with large amount of data. In order to produce the university E-Learning (UUM Educare) portal usage patterns and user behaviors, this paper implements the high level process of Web usage mining using basic Association Rules algorithm - Apriori Algorithm. …”
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  3. 3

    Web Usage Mining for UUM Learning Care Using Association Rules by Azizul Azhar, Ramli

    Published 2004
    “…E-Learning is one of the Web based application where it will facing with large amount of data. In order to produce the university E-Learning (UUM Educare) portal usage patterns and user behaviors, this paper implements the high level process of Web usage mining using basic Association Rules algorithm - Apriori Algorithm. …”
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    The semantics of norms mining in multi-agent systems by Ahmed Mahmoud, Moamin, Ahmad, Mohd Sharifuddin, Ahmad, Azhana, Mohd Yusoff, Mohd Zaliman, Mustapha, Aida

    “…We then present an algorithm of the norms mining operation and demonstrate the success of the technique in detecting the potential norms. …”
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    Conference or Workshop Item
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    Frequent Lexicographic Algorithm for Mining Association Rules by Mustapha, Norwati

    Published 2005
    “…The scale-up experiment showed that the proposed algorithm is more scalable than the other existing algorithms. …”
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  7. 7

    Enhancing predictive crime mapping model using association rule mining for geographical and demographic structure by Asmai, S. A.

    Published 2014
    “…This project proposed a data mining technique called Association Rule Mining. Basically Association Rule Mining is to investigate the rules according to the predefined parameter. …”
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    Conference or Workshop Item
  8. 8

    The semantics of norms mining in multi-agent systems by Mahmoud M.A., Ahmad M.S., Ahmad A., Yusoff M.Z.M., Mustapha A.

    Published 2023
    “…We then present an algorithm of the norms mining operation and demonstrate the success of the technique in detecting the potential norms. � 2012 Springer-Verlag.…”
    Conference paper
  9. 9

    Discovering decision algorithm of distance protective relay based on rough set theory and rule quality measure by Othman, Mohamad Lutfi

    Published 2011
    “…The discovered decision algorithm and association rule from the Rough-Set based data mining had been compared with and successfully validated by those discovered using the benchmarking Decision-Tree based data mining strategy. …”
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    Datasets Size: Effect on Clustering Results by Raheem, Ajiboye Adeleke, Ruzaini, Abdullah Arshah, Hongwu, Qin

    Published 2013
    “…This gives a wider acceptance to data mining, being an interdisciplinary field that implements algorithm on stored data with a view to discovering hidden knowledge. …”
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    Conference or Workshop Item
  12. 12

    Intuitive content management system via manipulation and duplication with if-else rules classification by Chan, Chung Hoong

    Published 2018
    “…An ICMS is a content management system that uses three main important techniques to build, such as Manipulation method, Data Mining Prediction, and Boyer-Moore Horspool algorithm. …”
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  13. 13

    Profiling network traffic of Sultan Idris Shah building (BSIS) using data mining technique / Rusmawati Ishak by Ishak, Rusmawati

    Published 2018
    “…Orange is a tool that being used in implementing K-Means Clustering Algorithm that could be seen as the most suitable solution to find a network trend pattern of user accessing the Internet and to produce with profiling network. …”
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  14. 14

    Exploring frogeye leaf spot disease severity in soybean through hyperspectral data analysis and machine learning with Orange Data Mining by Ang, Yuhao, Mohd Shafri, Helmi Zulhaidi, Al-Habshi, Mohammed Mustafa

    Published 2025
    “…Furthermore, reliefF-Gradient boosting and random forest algorithms achieved promising overall accuracy of 97.4% and 96.9%, respectively after implementing filtering and feature selection techniques. …”
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    Article
  15. 15

    Classification of Immunosignature Using Random Forests for Cancer Diagnosis by Zarzar, Mouayad, Razak, Eliza, Htike@Muhammad Yusof, Zaw Zaw, Yusof, Faridah

    Published 2015
    “…To attain this essential research purpose, a minimum set of genes that can assure higher performance in classification using data mining algorithms need to be detected. The evolution of authoritative immunofingerprint mining technology is exerting a growing influence on comprehensive cancer diagnosis biology. …”
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    Proceeding Paper
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    Sentiment analysis using clonal selection algorithm for Twitter’s data / Fatimah Mamat by Mamat, Fatimah

    Published 2012
    “…Nevertheless, it’s only accepts English standard word. In order to achieve the main objective, five phases of methodology was been implemented which are preliminary study, data preparation, model development, model evaluation & prototype development and last but not list is documentation. …”
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    Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy by Ganesh , Krishnasamy

    Published 2019
    “…The proposed algorithm is compared with the state-of-the-art feature selection algorithms using three different datasets. …”
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    The implementation of market basket analysis in menu association model for Corm Café / Nur Amalina Kamarulzaman by Kamarulzaman, Nur Amalina

    Published 2018
    “…To find the frequent item mining, the researcher had proposed some efficient algorithm which is FP-Growth. …”
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    Thesis