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  1. 1
    A web usage mining approach based on LCS algorithm in online predicting recommendation systems

    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
    “…Advanced mining processes are needed for this knowledge to be extracted, understood and used. …”
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  2. 2
    A collaborative filtering recommender system for infrequently purchased product using slope-one algorithm and association rule mining

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

    Published 2015
    “…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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  3. 3
    A modified π rough k-means algorithm for web page recommendation system

    A modified π rough k-means algorithm for web page recommendation system by Zidane, Khaled Ali Othman

    Published 2018
    “…To date, many works have been addressed in investigating the use of data mining techniques (e.g., Clustering) in Web page application. …”
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  4. 4
    A recommender system approach for classifying user navigation patterns using longest common subsequence algorithm.

    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
    “…The approach is based on the using longest common subsequence algorithm to classify current user activities to predict user next movement. …”
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  5. 5
    A numerical method for frequent pattern mining

    A numerical method for frequent pattern mining by Mustapha, Norwati, Nadimi-Shahraki, Mohammad-Hossein, Mamat, Ali, Sulaiman, Md. Nasir

    Published 2009
    “…The PC_Miner algorithm traverses the PC_Tree by using an efficient pruning technique. …”
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  6. 6
    Cyber fraud profiling with routine activity theory using data mining techniques / Sunardi, Abdul Fadlil and Nur Makkie Perdana Kusuma

    Cyber fraud profiling with routine activity theory using data mining techniques / Sunardi, Abdul Fadlil and Nur Makkie Perdana Kusuma by -, Sunardi, -, Abdul Fadlil, Perdana Kusuma, Nur Makkie

    Published 2023
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  7. 7
    A Web-Based Recommendation System To Predict User Movements Through Web Usage Mining

    A Web-Based Recommendation System To Predict User Movements Through Web Usage Mining by Jalali, Mehrdad

    Published 2009
    “…In the online phase, the longest common subsequence algorithm is used as a new approach in recommendation system for classifying current user activities to predict user next movements. …”
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  8. 8
    Evaluation and optimization of frequent association rule based classification

    Evaluation and optimization of frequent association rule based classification by Izwan Nizal Mohd Shaharanee, Jastini Jamil

    Published 2014
    “…Works on sustaining the interestingness of rules generated by data mining algorithms are actively and constantly being examined and developed. …”
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  9. 9
    Comparison of expectation maximization and K-means clustering algorithms with ensemble classifier model

    Comparison of expectation maximization and K-means clustering algorithms with ensemble classifier model by Sulaiman, Md. Nasir, Mohamed, Raihani, Mustapha, Norwati, Zainudin, Muhammad Noorazlan Shah

    Published 2018
    “…EM and K-means clustering algorithms are used to cluster the multi-class classification attribute according to its relevance criteria and afterward, the clustered attributes are classified using an ensemble random forest classifier model. …”
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  10. 10
    Study Of Modified Training Algorithm For Optimized Convergence Speed Of Neural Network

    Study Of Modified Training Algorithm For Optimized Convergence Speed Of Neural Network by Kang, Miew How

    Published 2016
    “…Artificial neural network (ANN) are widely used as an engineering approach to mimic the human brain activities. …”
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  11. 11
    A comparison study of classifier algorithms for mobile-phone’s accelerometer based activity recognition

    A comparison study of classifier algorithms for mobile-phone’s accelerometer based activity recognition by Ayu, Media Anugerah, Ismail, Siti Aisyah, Abdul Matin, Ahmad Faridi, Mantoro, Teddy

    Published 2012
    “…Our earlier research has shown that data from mobile-phone embedded accelerometer can be used for activity recognition purpose [1]. As a continuation of the research towards the search for a suitable and reliable algorithm for real-time activity recognition using mobile phone, an evaluation and comparison study of the performance of seven different categories of classifier algorithms in classifying user activities were conducted. …”
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  12. 12
    Activity recognition based on accelerometer sensor using combinational classifiers

    Activity recognition based on accelerometer sensor using combinational classifiers by Zainudin, Muhammad Noorazlan Shah, Sulaiman, Md. Nasir, Mustapha, Norwati, Perumal, Thinagaran

    Published 2015
    “…In this paper, we proposed various combination classifiers models consists of J48, Multi-layer Perceptron and Logistic Regression to capture the smoothest activity with higher frequency of the result using vote algorithm. …”
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  13. 13
    An application of Malay short-form word conversion using levenshtein distance

    An application of Malay short-form word conversion using levenshtein distance by Rohana, Ismail, Azilawati, Azizan, NurAine, Saidin

    Published 2020
    “…While for the conversion algorithm, Levenshtein Distance (LD) is used to measure the similarity. …”
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  14. 14
    Classification of students' performance in computer programming course according to learning style

    Classification of students' performance in computer programming course according to learning style by Norwawi N.M., Abdusalam S.F., Hibadullah C.F., Shuaibu B.M.

    Published 2024
    Conference Paper
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  15. 15
    WebPUM : a web-based recommendation system to predict user future movements.

    WebPUM : a web-based recommendation system to predict user future movements. by Jalali, Mehrdad, Mustapha, Norwati, Sulaiman, Md. Nasir, Mamat, Ali

    Published 2010
    “…Furthermore, longest common subsequence algorithm is used for classifying current user activities to predict user next movement. …”
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  16. 16
    Classification model for hotspot occurrences using spatial decision tree algorithm

    Classification model for hotspot occurrences using spatial decision tree algorithm by Sitanggang, Imas Sukaesih, Yaakob, Razali, Mustapha, Norwati, Nuruddin, Ahmad Ainuddin

    Published 2013
    “…As the ID3 algorithm that uses information gain in the attribute selection, the proposed algorithm uses spatial information gain to choose the best splitting layer from a set of explanatory layers. …”
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  17. 17
    An application of Malay short-form word conversion using Levenshtein distance / Azilawati Azizan, NurAine Saidin, Nurkhairizan Khairudin & Rohana Ismail

    An application of Malay short-form word conversion using Levenshtein distance / Azilawati Azizan, NurAine Saidin, Nurkhairizan Khairudin & Rohana Ismail by Azilawati Azizan, Azilawati Azizan, NurAine Saidin, NurAine Saidin, Nurkhairizan Khairudin, Nurkhairizan Khairudin, Rohana Ismail, Rohana Ismail

    Published 2020
    “…While for the conversion algorithm, Levenshtein Distance (LD) is used to measure the similarity. …”
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  18. 18
    An efficient IDS using hybrid Magnetic swarm optimization in WANETs

    An efficient IDS using hybrid Magnetic swarm optimization in WANETs by Sadiq, Ali Safa, Alkazemi, Basem Y., Mirjalili, Seyedali, Noraziah, Ahmad, Khan, Suleman, Ihsan, Ali, Pathan, Al-Sakib Khan, Ghafoor, Kayhan Zrar

    Published 2018
    “…Experimental results show that using our proposed IDS based on hybrid MOA-PSO technique provides more accuracy level compared to the use of ANN based on MOA, PSO and genetic algorithm. …”
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  19. 19
    Clustering Student Performance Data Using k-Means Algorithms

    Clustering Student Performance Data Using k-Means Algorithms by Sultan Alalawi, Sultan Juma, Mohd Shaharanee, Izwan Nizal, Mohd Jamil, Jastini

    Published 2023
    “…The research approach known as educational data mining (EDM) focuses on using data mining techniques to extract massive data from the educational context and transform it into knowledge that can improve educational systems and decisions. …”
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  20. 20
    An Efficient IDS Using Hybrid Magnetic Swarm Optimization in WANETs

    An Efficient IDS Using Hybrid Magnetic Swarm Optimization in WANETs by Sadiq, Ali Safaa, Alkazemi, Basem, Mirjalili, Seyedali, Ahmed, Noraziah, Khan, Suleman, Ali, Ihsan, Pathan, Al-Sakib Khan, Ghafoor, Kayhan Zrar

    Published 2018
    “…Experimental results show that using our proposed IDS based on hybrid MOA-PSO technique provides more accuracy level compared to the use of ANN based on MOA, PSO and genetic algorithm. …”
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