Search Results - (( developing online model algorithm ) OR ( java implication based algorithm ))

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    Predicting attackers of online shaming using ant colony optimization / Noor Shafiqa Fazlien Mohamad Fauzi by Mohamad Fauzi, Noor Shafiqa Fazlien

    Published 2020
    “…The main objective of this study is to develop a class model for predicting the attackers of online shaming. …”
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    Thesis
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    Development of online appointment system using forward chaining algorithm for Student and lecturer in FTMSK / Sharizal Sharif by Sharif, Sharizal

    Published 2007
    “…Methodology approach used for progression phase is SDLC method and used Decision Support System model to design and develop the system prototype. …”
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    Thesis
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    A new classification model for online predicting users' future movements by Jalali, Mehrdad, Mustapha, Norwati, Mamat, Ali, Sulaiman, Md. Nasir

    Published 2008
    “…To provide online prediction efficiently, we advance architecture for online predicting in web usage mining system by proposing novel model based on Longest Common Subsequence algorithm for classifying user navigation patterns. …”
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    Conference or Workshop Item
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    Adaptive model predictive control based on wavelet network and online sequential extreme learning machine for nonlinear systems by Salih, Dhiadeen Mohammed

    Published 2015
    “…Recently, an online sequential extreme learning machine (OSELM) algorithm has been introduced based on extreme learning machine (ELM) theories for single hidden layer feedforward neural networks (SLFN) and has been applied for different online applications. …”
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    Predicting Cheaters in PlayerUnknown’s Battlegrounds (PUBG) using Random Forest Algorithm by Nurin Alya, Haris

    Published 2023
    “…This study aims to address this issue by developing a reliable prediction model to identify potential cheaters in PUBG matches. …”
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    Final Year Project Report / IMRAD
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    Online Clothing Shopbots via Web Content Extraction / Nurul Syazwani Ramzi by Ramzi, Nurul Syazwani

    Published 2017
    “…Online shopping has become a huge phenomenon lately. …”
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    Thesis
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    Decision tree and rule-based classification for predicting online purchase behavior in Malaysia / Maslina Abdul Aziz, Nurul Ain Mustakim and Shuzlina Abdul Rahman by Abdul Aziz, Maslina, Mustakim, Nurul Ain, Abdul Rahman, Shuzlina

    Published 2024
    “…The performance of six machine learning models comprising J48, Random Tree, REPTree representing decision trees and JRip, PART, and OneR as rule-based algorithms was assessed. …”
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    Article
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    Analysis of online CSR message authenticity on consumer purchase intention in social media on Internet platform via PSO-1DCNN algorithm by Li, Man, Liu, Fang, Abdullah, Zulhamri

    Published 2024
    “…This work proposes an algorithm based on PSO-1DCNN joint optimization to analyze the impact of online CSR information authenticity on consumers’ purchase intention in social media on the Internet platform. …”
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    Article
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    Interactive jigsaw puzzle using backtracking algorithm / Amizah Mohd Kamaruzaman by Mohd Kamaruzaman, Amizah

    Published 2012
    “…The objective of this project is to study the various techniques to develop online jigsaw puzzle games. Based on the initial study, the Backtracking algorithm has been chosen as the most suitable algorithm to be used to develop the jigsaw puzzle according to available time and complexity of the algorithm. …”
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    Thesis
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    A recommender system approach for classifying user navigation patterns using longest common subsequence algorithm. by Jalali, Mehrdad, Mustapha, Norwati, Sulaiman, Md. Nasir, Mamat, Ali

    Published 2009
    “…In this paper, to provide online predicting effectively, we develop a model for online predicting through web usage mining system and propose a novel approach for classifying user navigation patterns to predict users’ future intentions. …”
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    Article
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    Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things by Hadi, Ahmed Adnan

    Published 2022
    “…Here, the memory consumption can be reduced by enabling a feature selection algorithm that excludes nonrelevant features and preserves the relevant ones. the algorithm is developed based on the variable length of the PSO. …”
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    Thesis
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