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    Improved whale optimization algorithm for feature selection in Arabic sentiment analysis by Tubishat, Mohammad, Abushariah, Mohammad A.M., Idris, Norisma, Aljarah, Ibrahim

    Published 2019
    “…In SA, feature selection phase is an important phase for machine learning classifiers specifically when the datasets used in training is huge. Whale Optimization Algorithm (WOA) is one of the recent metaheuristic optimization algorithm that mimics the whale hunting mechanism. …”
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    Article
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    BMTutor research design: Malay sentence parse tree visualization by Muhamad Noor, Yusnita, Jamaludin, Zulikha

    Published 2014
    “…As a result of the lack of models and algorithms have been introduced in both parsers, the model and algorithm development phase is introduced in the design of BMTutor.Output from the development process shows that the prototype is able to provide sentence correction for all 15 invalid sentences and can produce parse tree visualizations for all 20 sentences used for prototype testing.…”
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    Conference or Workshop Item
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    Parse tree visualization for Malay sentence (BMTutor) by Muhamad Noor, Yusnita, Jamaludin, Zulikha

    Published 2015
    “…It is also to enhance the learning process in BM that can be used by communities, especially students. An algorithm in designing BMTutor is discussed in this paper.The algorithm of the software is done sequentially as followed: 1) tokenizing 2) checking the number of words, 3) searching and comparing process to check the spelling or conjunctions, 4) assigning each word with a certain word class, 5) matching with rules, and 6) delivering/producing output (sentence correction or parse tree visualization, word attribute components, and parse tree from sentence examples).Based on the testing conducted, output from the development process shows that the prototype can correct all 15 invalid sentences and can produce parse tree visualization for all 20 sentences.…”
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    Article
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    Visualisasi pohon sintaksis berasaskan model dan algoritma sintaks ayat bahasa Melayu by Yusnita, Muhamad Noor

    Published 2018
    “…It can be concluded that the algorithm and model proposed were useful for the development of the prototype. …”
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    Thesis
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    Time series predictive analysis based on hybridization of meta-heuristic algorithms by Mustaffa, Zuriani, Sulaiman, Mohd Herwan, Rohidin, Dede, Ernawan, Ferda, Kasim, Shahreen

    Published 2018
    “…The identified meta-heuristic methods namely Moth-flame Optimization (MFO), Cuckoo Search algorithm (CSA), Artificial Bee Colony (ABC), Firefly Algorithm (FA) and Differential Evolution (DE) are individually hybridized with a well-known machine learning technique namely Least Squares Support Vector Machines (LS-SVM). …”
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    Article
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    Fast clock tree generation using exact zero skew clock routing algorithm by Reaz, Mamun Ibn, Ibrahimy, Muhammad Ibn, Amin, Nowshad

    Published 2009
    “…The routing algorithm used in this tool is based on the Exact Zero Skew Routing Algorithm. …”
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    Article
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    Classification with degree of importance of attributes for stock market data mining by Khokhar, Rashid Hafeez, Md. Sap, Mohd. Noor

    Published 2004
    “…Alan Fan et aI., [2] use Support Vector Machine (SVM) to stock market prediction. The SVM is a training algorithm for learning classification and regression rules from data [7]. …”
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    Article
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    Time series predictive analysis based on hybridization of meta-heuristic algorithms by Zuriani, Mustaffa, M. H., Sulaiman, Rohidin, Dede, Ernawan, Ferda, Shahreen, Kasim

    Published 2018
    “…The identified meta-heuristic methods namely Moth-flame Optimization (MFO), Cuckoo Search algorithm (CSA), Artificial Bee Colony (ABC), Firefly Algorithm (FA) and Differential Evolution (DE) are individually hybridized with a well-known machine learning technique namely Least Squares Support Vector Machines (LS-SVM). …”
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    Article
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    Development of a Prediction Algorithm using Boosted Decision Trees for Earlier Diagnoses on Obstructive Sleep Apnea by Sim, Doreen Ying Ying

    Published 2018
    “…This research develops a knowledge-based system by using computational intelligent approaches based on Boosting algorithms on decision trees augmented by pruning techniques and Association Rule Mining. …”
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    Thesis
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    Computer algorithm for playing checkers by Chua Shin Lee

    Published 2023
    “…The Checkers game uses heuristics algorithm, a simple depth-first procedure, for searching trees.…”
    text::Thesis
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    Zero skew clock routing for fast clock tree generation by Reaz, Mamun Ibn, Amin, Nowshad, Ibrahimy, Muhammad Ibn, Mohamad-Yasin, F., Mohammad, A.

    Published 2008
    “…The routing algorithm used in this tool is based on the Exact Zero Skew Routing Algorithm. …”
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    Proceeding Paper
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    Comparison Of Phylogenetic Trees Using Difference Distance Function Method by Maziah, Medin

    Published 2005
    “…The pre-processing is implemented using the Microsoft Visual C++. The phylogenetic tree is build using the PHYLlP (the PHYlogeny Inference Package), a package of programs for inferring phylogenies (evolutionary trees). …”
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    Final Year Project Report / IMRAD
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    Decision tree as knowledge management tool in image classification by Kusrini, , Harjoko, Agus

    Published 2008
    “…Expert System has been grown so fast as a science that study how to make computer capable of solving problems that typically can only be solved by expert.It has been realized that the biggest challenge of developing expert system is the process include expert’s knowledge into the system.This research tries to model expert’s knowledge management using case based reasoning method.The knowledge itself is not inputted directly by the expert, but rather the system will learn the knowledge from what the expert did to the previous cases.This research takes image classification as the problem to be solved.As the knowledge development technique, we build decision tree by using C4.5 algorithm.Variables used for building the decision tree are the image visual features.…”
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    Conference or Workshop Item
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    The comparison of interactive 3D visualization between static and animated approaches for learning binary tree topic / Mohd Zulhisam Yaakub by Yaakub, Mohd Zulhisam

    Published 2016
    “…The purpose of this study is to compare score performance of students enrolled in a binary tree lesson using two types o f 3D visualization approaches in CAI which are 3D static and 3D animated. …”
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    Thesis
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    Stock market turning points rule-based prediction / Lersak Photong … [et al.] by Photong, Lersak, Sukprasert, Anupong, Boonlua, Sutana, Ampant, Pravi

    Published 2021
    “…Finally, rule-based optimisation techniques such as Particle Swarm Optimization (PSO), Differential Evolution (DE) and Grey Wolf Optimizer (GWO) were used to minimise the amount of time employed in the stock market turning points prediction. …”
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    Book Section
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