Search Results - (( web applications means algorithm ) OR ( its application stemming algorithm ))*

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    A web-based implementation of k-means algorithms by Lee, Quan

    Published 2022
    “…The K-means algorithm has been around for over a century. …”
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    Final Year Project / Dissertation / Thesis
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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
  3. 3

    Pashto language stemming algorithm by Aslamzai, Sebghatullah, Saidah Saad

    Published 2015
    “…Therefore, the objective of the current thesis is to develop a rule-based stemming algorithm for the Pashto language. The Pashto corpus is directly used as the input and the stemming algorithm uses both inflectional and derivational morphemes. …”
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    Article
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    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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    Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly by Zulkifly, Ahmad Zuladzlan

    Published 2019
    “…This project will use fuzzy k-means clustering algorithm to cluster the data because it is easy to implement and have many advantages. …”
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    Thesis
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    Stemming Hausa text: using affix-stripping rules and reference look-up by Andrew Bimba, Norisma Idris, Norazlina Khamis, Nurul Fazmidar Mohd Noor

    Published 2016
    “…Stemming is a process of reducing a derivational or inflectional word to its root or stem by stripping all its affixes. …”
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    Article
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    Stemming Hausa text: using affix-stripping rules and reference look-up by Bimba, A.T., Idris, N., Khamis, N., Mohd Noor, N.F.

    Published 2016
    “…Stemming is a process of reducing a derivational or inflectional word to its root or stem by stripping all its affixes. …”
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    Article
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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
    “…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
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    Malay-language stemmer by Sankupellay, Mangalam, Valliappan, Subbu

    Published 2006
    “…Stemming is the removal of affixes (prefixes and suffixes) in a word in order to generate its root word. …”
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    Article
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    Route planner mobile web application for UiTM Malaysia / Suzana Ahmad ... [et al.] by Ahmad, Suzana, Mat Diah, Norizan, Mohamad Kamal, Nor Ashikin, Mohd Jailani, Siti Zalekha

    Published 2009
    “…A Route Planner Mobile Web Application for UiTM Malaysia has been developed to produce a list of routes from two selected points in order of the shortest first. …”
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    Article
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    Bahasa Melayu Stemmer / Subbu Valliappan by Subbu , Valliappan

    Published 2004
    “…This Stemmer has a wide variety of applications and it caters for a vast age group. It is expected that when this system is developed and fully utilized, it will benefit its users and customers tremendously withh all of its powerful features. …”
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    Thesis
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    Cryptanalytic attacks on Rivest, Shamir, and Adleman (RSA) cryptosystem: issues and challenges by Abubakar, Adamu, Jabaka, Shehu, Tijani, Bello Idrith, Zeki, Akram M., Chiroma, Haruna, Usman, Mohammed Joda, Raji, Shakirat, Mahmud, Murni

    Published 2014
    “…Prior research studies have shown that RSA algorithm is very successful in protecting enterprises commercial services and systems as well as web servers and browsers to secure web traffic. …”
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    Article
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    A WEB-BASED SYSTEM FOR THE PREDICTION OF STUDENT PERFORMANCE IN UPCOMING PUBLIC EXAMS BASED ON ACADEMIC RECORDS by DELLON, NELSON BRUNNIE

    Published 2023
    “…Teachers will be able to precisely forecast their students' impending grades utilizing the system's web-based application integration and machine learning algorithms. …”
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    Final Year Project Report / IMRAD