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  1. 1
    A prototype for context identification of scientific papers via agent-based text mining

    A prototype for context identification of scientific papers via agent-based text mining by Mahmoud M.A., Ahmad M.S.

    Published 2023
    Conference Paper
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  2. 2
    Context identification of scientific papers via agent-based model for text mining (ABM-TM)

    Context identification of scientific papers via agent-based model for text mining (ABM-TM) by Mahmoud M.A., Ahmad M.S., Yusoff M.Z.M., Mustapha A.

    Published 2023
    “…In this paper, we propose an agent-based text mining algorithm to extract potential context of papers published in the WWW. …”
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  3. 3
    DATA CLASSIFICATION SYSTEM WITH FUZZY NEURAL BASED APPROACH

    DATA CLASSIFICATION SYSTEM WITH FUZZY NEURAL BASED APPROACH by LUONG, TRUNG TUAN

    Published 2005
    “…The project's objective is identifying the available data mining algorithms in data classification and applying new data mining algorithm to perform classification tasks. …”
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    Final Year Project
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  4. 4
    Exploratory analysis with association rule mining algorithms in the retail industry / Alaa Amin Hashad ... [et al.]

    Exploratory analysis with association rule mining algorithms in the retail industry / Alaa Amin Hashad ... [et al.] by Hashad, Alaa Amin, Khaw, Khai Wah, Alnoor, Alhamzah, Chew, Xin Ying

    Published 2024
    “…The proposed method is based on comparing two algorithms: Apriori and Frequent Pattern Growth (FP- Growth). …”
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  5. 5
    Context aware app recommendation using email semantic analysis

    Context aware app recommendation using email semantic analysis by Tang, Zi Cong

    Published 2019
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    Final Year Project / Dissertation / Thesis
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  6. 6
    Data Classification and Its Application in Credit Card Approval

    Data Classification and Its Application in Credit Card Approval by Thai , VinhTuan

    Published 2004
    “…Lying hidden in all this data is potentially useful information that is rarely made explicit or taken advantage of. In this context, data mining has arisen as an important research area that helps to reveal the hidden useful information from the raw data collected. …”
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    Final Year Project
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  7. 7
    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
    “…Clustering is one of the means in data mining of predicting the class based on separating the data categories from similar features. …”
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  8. 8
    Extracting Tweets Using R in The Context of Ethical Issues

    Extracting Tweets Using R in The Context of Ethical Issues by Mohamed Najid, Mohamad Hafizuddin, Zulkifli, Zahidah, Othman, Roslina, Rokis, Rohaiza

    Published 2021
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    Proceeding Paper
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  9. 9
    A systematic literature review on the impact of data mining on workforce privacy and employment practices: ethical concerns and risks

    A systematic literature review on the impact of data mining on workforce privacy and employment practices: ethical concerns and risks by Ismail, Azratul Ain Nadiah, Mohamad, Ahmad Nadzri

    Published 2025
    “…Given this context, the study examines ethical concerns and risks associated with using data mining tools in the respective sphere. …”
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  10. 10
    Improving The Institutional Research and Publication Performances Using Clustering Algorithm

    Improving The Institutional Research and Publication Performances Using Clustering Algorithm by Mohmad Kamal, Fazillah, Omar, Mohd Faizal, Jamil, Jastini

    Published 2021
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    Monograph
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  11. 11
    Implementing Aproiri Algorithm for Predicting Result Analysis

    Implementing Aproiri Algorithm for Predicting Result Analysis by Abdul Aziz, Azwa, Hassan, Hasni, Wan Idris, Wan Mohd Rizhan, Jusoh, Julaily Aida

    Published 2013
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  12. 12
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
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  13. 13
    Toward Predicting Student�s Academic Performance Using Artificial Neural Networks (ANNs)

    Toward Predicting Student�s Academic Performance Using Artificial Neural Networks (ANNs) by Baashar Y., Alkawsi G., Mustafa A., Alkahtani A.A., Alsariera Y.A., Ali A.Q., Hashim W., Tiong S.K.

    Published 2023
    “…No pattern was detected regarding selecting the input variables as they are mainly based on the context of the study and the availability of data. …”
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  14. 14
    An adaptive anomaly threshold in artificial dendrite cell algorithm

    An adaptive anomaly threshold in artificial dendrite cell algorithm by Mohamad Mohsin, Mohamad Farhan, Abu Bakar, Azuraliza, Hamdan, Abdul Razak

    Published 2017
    “…The dendrite cell algorithm (DCA) relies on the multi-context antigen value (MCAV) to determine the abnormality of a record by comparing it with anomaly threshold.In practice, the threshold is pre-determined before mining based on previous information and the existing MCAV is inefficient when expose to extreme values.This causes the DCA fails to detect unlabeled data if the new pattern distinct from previous information and reduces the detection accuracy.This paper proposed an adaptive anomaly threshold for DCA using the statistical cumulative sum (CUSUM) with the aim to improve its detection capability.In the proposed approach, the MCAV were normalized with upper CUSUM and the new anomaly threshold was calculated during run time by considering the acceptance value and min MCAV.From the experiments towards 12 datasets, the new version of DCA generated a better detection result than its previous version in term of sensitivity, specificity, false detection rate, and accuracy.…”
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  15. 15
    An Improved Artificial Dendrite Cell Algorithm for Abnormal Signal Detection

    An Improved Artificial Dendrite Cell Algorithm for Abnormal Signal Detection by Mohamad Mohsin, Mohamad Farhan, Abu Bakar, Azuraliza, Hamdan, Abdul Razak, Abdul Wahab, Mohd Helmy

    Published 2018
    “…In dendrite cell algorithm (DCA), the abnormality of a data point is determined by comparing the multi-context antigen value (MCAV) with anomaly threshold. …”
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  16. 16
    A spark-based parallel fuzzy C median algorithm for web log big data

    A spark-based parallel fuzzy C median algorithm for web log big data by Mallik, Moksud Alam, Zulkurnain, Nurul Fariza, Nizamuddin, Mohammed Khaja, Sarkar, Rashal, Chalil, Aboosalih Kakkat

    Published 2022
    “…This paper proposes an efficient parallel Fuzzy C median solution based on Spark for large-scale web log data. Based on the Rand Index and SSE (sum of squared error), the parallel Fuzzy C median algorithm's performance is evaluated in the PySpark platform. …”
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  17. 17
    Implementing Aproiri Algorithm for Predicting Result Analysis

    Implementing Aproiri Algorithm for Predicting Result Analysis by Nurul A., Emran, Aziz, A. A., Jusoh, J. A, Idris, W. M. R. W., Hassan, H.

    Published 2013
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  18. 18
    An improved artificial dendrite cell algorithm for abnormal signal detection

    An improved artificial dendrite cell algorithm for abnormal signal detection by Mohamad Mohsin, Mohamad Farhan, Abu Bakar, Azuraliza, Hamdan, Abdul Razak, Abdul Wahab, Mohd Helmy

    Published 2018
    “…In dendrite cell algorithm (DCA), the abnormality of a data point is determined by comparing the multi-context antigen value (MCAV) with anomaly threshold. …”
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  19. 19
    Portfolio optimization with percentage error-based fuzzy random data for industrial production

    Portfolio optimization with percentage error-based fuzzy random data for industrial production by Othman, Mohammad Haris Haikal, Arbaiy, Nureize, Che Lah, Muhammad Shukri, Pei, Chun Lin

    Published 2024
    “…The main objective is to optimize selection based on industrial production, effectively managing uncertainty in traditional portfolio selection models. …”
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  20. 20
    Portfolio optimization with percentage error-based fuzzy random data for industrial production

    Portfolio optimization with percentage error-based fuzzy random data for industrial production by Othman, Mohammad Haris Haikal, Arbaiy, Nureize, Che Lah, Muhammad Shukri, Lin, Pei-Chun

    Published 2024
    “…The main objective is to optimize selection based on industrial production, effectively managing uncertainty in traditional portfolio selection models. …”
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