Search Results - ((stemming algorithm) OR (mining algorithm))

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  1. 1

    Position score weighting technique for mining web content outliers. by Mustapha, Norwati, Mustapha, Aida

    Published 2013
    “…The existing mining web content outlier methods used stemming algorithm to preprocess the web documents and leave the domain dictionary in their root words. …”
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    Article
  2. 2

    Predicting STEM academic performance in secondary schools: data mining approach by Termedi @Termiji, Mohammad Izzuan, Ab. Jalil, Habibah

    Published 2019
    “…Three different data mining classification algorithms which are Decision Tree (DT), Artificial Neural Networks (ANN), and Naive Bayes (NB) will be used on the dataset. …”
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    Conference or Workshop Item
  3. 3

    Analyzing enrolment patterns: modified stacked ensemble statistical learning based approach to educational decision-making by Zun, Liang Chuan, Nursultan Japashov, Soon, Kien Yuan, Tan, Wei Qing, Noriszura Ismail

    Published 2024
    “…Moreover, the introduction of the novel modified stacked ensemble statistical learning-based algorithm had improved predictive accuracy compared to traditional dichotomous logistic regression algorithms on average, particularly at optimal training-to-test ratios of 70:30, 80:20, and 90:10. …”
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    Article
  4. 4

    Comparison of algorithm Support Vector Machine and C4.5 for identification of pests and diseases in chili plants by M, Irfan, N, Lukman, A. A, Alfauzi, J, Jumadi

    Published 2019
    “…Information about chili pests is collected so that it becomes a database that can be used to identify disease pests using the data mining method. The use of data mining algorithms is expected to help in the identification of pests and diseases in chili plants. …”
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    Conference or Workshop Item
  5. 5

    Predicting students’ STEM academic performance in Malaysian secondary schools using educational data mining by Termedi @ Termiji, Mohammad Izzuan

    Published 2023
    “…Four different data mining classification algorithms which are Random Forest, PART, J48 and Naive Bayes will be used on the dataset. …”
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    Thesis
  6. 6

    Improving sentiment reviews classification performance using support vector machine-fuzzy matching algorithm by Nurcahyawati, Vivine, Mustaffa, Zuriani

    Published 2023
    “…Many of these dimensionalities have a major impact on the complexity and performance of the algorithms used for classification. Various challenges were encountered, including how to determine the optimal combination of pre-processing techniques, how to clean the dataset, and determine the best classification algorithm. …”
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    Article
  7. 7

    Automatic document clustering and indexing of multiple documents using KNMF for feature extraction through Hadoop and lucene on big data by Laxmi Lydia E., Sharmili N., Nguyen P.T., Hashim W., Maseleno A.

    Published 2023
    “…Automatic indexing; Big data; Cluster analysis; Extraction; Factorization; Indexing (of information); Information retrieval; K-means clustering; Natural language processing systems; Open source software; Open systems; Pattern matching; Software quality; Software testing; Text mining; Hadoop; Key phrase extractions; Map-reduce; Pattern-matching technique; Porters; Pre-processing algorithms; Software environments; Unlabeled; Matrix algebra…”
    Article
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  9. 9

    Monolingual and Cross-language Information Retrieval Approaches for Malay and English Language Document by Abdullah, Muhamad Taufik

    Published 2006
    “…The results show that there is an improvement in performance from non-stemmed Malay to stemmed Malay, and also from previous stemming algorithm to the new stemming algorithm. …”
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    Thesis
  10. 10

    Enhancement of stemming process for malay illicit web content by Noor Fatihah , Mazlam

    Published 2012
    “…To date, the existing stemming algorithm in Malay language; Othman’s stemming algorithm and Sembok’s stemming algorithm still produce errors in the result. …”
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    Thesis
  11. 11

    Modifying iEclat algorithm for infrequent patterns mining by Julaily Aida, J., Mustafa, M.

    Published 2018
    “…This paper proposes an enhancement algorithm based on iEclat algorithms for mining infrequent pattern.…”
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    Conference or Workshop Item
  12. 12
  13. 13

    Study of stemming algorithm for Malay words which begin with alphabets 'M' / Mohd Zawawi Mohd Yunus by Mohd Yunus, Mohd Zawawi

    Published 2000
    “…These stemming algorithm problems will be solved by doing five experiments such as analysis the existing algorithm, do correction in the file, adding rules, correct the stemming algorithm and use two combination rules. …”
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    Thesis
  14. 14

    To study the performance of stemming algorithm on Malay words beginning with the letter "S" / Rohana Jantan by Jantan, Rohana

    Published 2000
    “…This thesis concerns the study of Malay stemming algorithm for the word beginning with the letter "S". …”
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    Thesis
  15. 15

    loformation Retrieval - using Porter Stemming Algorithm by Zulkifly, Zurida Azita

    Published 2006
    “…There are many stemming method that have been developed. However, the main focus of this project is on Porter Stemming Algorithm which has been developed by M.F Porter in 1980. …”
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    Final Year Project
  16. 16

    Expectation maximization clustering algorithm for user modeling in web usage mining system by Mustapha, Norwati, Jalali, Manijeh, Jalali, Mehrdad

    Published 2009
    “…Web usage mining algorithms have been widely utilized for modeling user web navigation behavior. …”
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    Article
  17. 17

    Modifying iEclat algo ithm for infrequent patterns mining by Julaily Aida, Jusoh, Mustafa, Man

    Published 2018
    “…This paper proposes an enhancement algorithm based on iEclat algorithms for mining infrequent pattern.…”
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    Conference or Workshop Item
  18. 18

    Clustering algorithm for market-basket analysis : the underlying concept of data mining technology by Abdul Kadir, Khairil Annuar

    Published 2003
    “…This thesis seeks to understand the underlying concept of data mining technology in market-basket analysis. The clustering algorithm based on Small Large Ratios, SLR is presented in a manner that helps to understand the concept of data mining technology in marketbasket analysis. …”
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    Thesis
  19. 19

    Efficient prime-based method for interactive mining of frequent patterns. by Mohammad Hossein, Nadimi Shahraki, Mustapha, Norwati, Sulaiman, Md. Nasir, Mamat, Ali

    Published 2011
    “…Since rerunning mining algorithms from scratch is very costly and time-consuming, researchers have introduced interactive mining of frequent patterns. …”
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    Article
  20. 20

    An efficient algorithm to discover large and frequent itemset in high dimensional data by Zulkurnain, Nurul Fariza

    Published 2019
    “…For this reason, this research has proposed two new algorithms; RARE and RARE II, which mine colossal closed itemsets. …”
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    Monograph