Search Results - (( based applications means algorithm ) OR ( web applications mining algorithm ))*

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  1. 1

    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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    Big Data Mining Using K-Means and DBSCAN Clustering Techniques by Fawzia Omer, A., Mohammed, H.A., Awadallah, M.A., Khan, Z., Abrar, S.U., Shah, M.D.

    Published 2022
    “…Results obtained after pre-processing phase showed that the data quality will improve when the number of records reduced by (51.45). The density-based spatial clustering of applications with noise (DBSCAN) and the K-means algorithm were used to develop clustering algorithms. …”
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    Article
  3. 3

    Web based clustering tool using K-MEAN++ algorithm / Muhammad Nur Syazwanie Aznan by Aznan, Muhammad Nur Syazwanie Aznan

    Published 2019
    “…Which is why this project objective is to develop a web based clustering tool using K-MEAN++ algorithm. …”
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    Thesis
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    Stock price monitoring system by Ng, Chun Ming

    Published 2024
    “…Consequently, Root Mean Squared Error (RMSE) and Mean Absolute Percentage Error (MAPE) are used to evaluate the performance of the prediction algorithms. …”
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    Final Year Project / Dissertation / Thesis
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    Web Usage Mining for UUM Learning Care Using Association Rules by Azizul Azhar, Ramli

    Published 2004
    “…Application of data mining techniques to the World Wide Web referred as Web mining where this term has been used in three distint ways; Web Content Mining, Web Structure Mining and Web Usage Mining. …”
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    Thesis
  8. 8

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

    Published 2004
    “…Application of data milling techniques to the World Wide Web referred as Web mining where this term has been used in three distinct ways; Web Content Mining, Web Structure Mining and Web Usage Mining. …”
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    Thesis
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    Web Usage Mining Using GSP Algorithm: A Study on Sultanah Bahiyah Library Online Databases by Hazzaimeh, Yousef Abd-AlMohdi

    Published 2008
    “…Application of data mining to the World Wide Web referred as Web mining is at the cross road of research from several research communities which can be divided into three branches: Web Content Mining, Web Structure Mining and Web Usage Mining. …”
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    Thesis
  11. 11

    A web usage mining approach based on LCS algorithm in online predicting recommendation systems by Jalali, Mehrdad, Mustapha, Norwati, Sulaiman, Md. Nasir, Mamat, Ali

    Published 2008
    “…Online prediction is one Web Usage Mining application. However, the accuracy of the prediction and classification in the current architecture of predicting users' future requests systems can not still satisfy users especially in huge Web sites. …”
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    Article
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    Web usage mining: A review of recent works by Omar, Rosli, Md Tap, Abu Osman, Abdullah, Zainatul Shima

    Published 2015
    “…Web mining is the application of data mining on web data and web usage mining is an important component of web mining. …”
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    Proceeding Paper
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    A modified π rough k-means algorithm for web page recommendation system by Zidane, Khaled Ali Othman

    Published 2018
    “…Web page recommendation system is an application of Web Usage Mining (WUM) approach, which specializes in predicting the user next browsing activity in real-time Web for personalized recommendations. …”
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    Thesis
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    Data pre-processing on web server logs for generalized association rules mining algorithm by Abd Wahab, Mohd Helmy, Mohd, Mohd Norzali, Hanafi, Hafizul Fahri, Mohamad Mohsin, Mohamad Farhan

    Published 2008
    “…Since the pre-processing is tedious process, it depending on the algorithm and purposes of the applications.…”
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    Article
  20. 20

    Mining Web usage using FRS by Omar, Rosli, Abdullah, Zainatul Shima

    Published 2018
    “…Web Usage Mining (WUM) is the application of data mining methods in extracting potentially useful information from web usage data. …”
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    Proceeding Paper