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  1. 1
    Dissimilarity algorithm on conceptual graphs to mine text outliers

    Dissimilarity algorithm on conceptual graphs to mine text outliers by Kamaruddin, Siti Sakira, Hamdan, Abdul Razak, Abu Bakar, Azuraliza, Mat Nor, Fauzias

    Published 2009
    “…In Comparison to other text outlier detection method, this approach managed to capture the semantics of documents through the use of CGs and is convenient to detect outliers through a simple dissimilarity function.Furthermore, our proposed algorithm retains a linear complexity with the increasing number of CGs.…”
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  2. 2
    Data Analysis and Rating Prediction on Google Play Store Using Data-Mining Techniques

    Data Analysis and Rating Prediction on Google Play Store Using Data-Mining Techniques by Kayalvily, Tabianan, Denis, Arputharaj, Mohd Norshahriel, Abd Rani, Sarasvathi, Nahalingham

    Published 2022
    “…This biggest Android Application (App) provides a wide variety of details on requirements such as reviews, quality, number of installs, and explanations for device functionality. This study aims to predict the ratings of Google Play Store apps using decision trees for classification in machine learning algorithms. …”
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  3. 3
    Application of Optimization Methods for Solving Clustering and Classification Problems

    Application of Optimization Methods for Solving Clustering and Classification Problems by Shabanzadeh, Parvaneh

    Published 2011
    “…This method does not explicitly use derivatives, and is particularly appropriate when functions are non-smooth. …”
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  4. 4
    Artificial neural network approach for electric load forecasting in power distribution company / Hambali M. A ... [et al.]

    Artificial neural network approach for electric load forecasting in power distribution company / Hambali M. A ... [et al.] by M. A., Hambali, Y. K, Saheed, M. D, Gbolagade, M, Gaddafi

    Published 2017
    “…Researchers then performed data preprocessing on the data. Afterwards, data mining algorithms were applied in order to forecast electric load. …”
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  5. 5
    Learner’s emotion prediction using production rules classification algorithm through brain computer interface tool

    Learner’s emotion prediction using production rules classification algorithm through brain computer interface tool by Nurshafiqa Saffah, Mohd Sharif

    Published 2018
    “…Classification and prediction are the functions provided by the data mining techniques that suit in EEG signal processing. …”
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  6. 6
    An efficient algorithm to discover large and frequent itemset in high dimensional data

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

    Published 2019
    “…The current trend of data collection involves a small number of observations with a very large number of variables, known as high dimensional data. …”
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    Monograph
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  7. 7
    Data mining using genetic algorithm in finance data / A. Noor Latiffah and A. B. Nordin

    Data mining using genetic algorithm in finance data / A. Noor Latiffah and A. B. Nordin by Latiffah, A. Noor, Nordin, A. B.

    Published 2006
    “…Data mining can discover patterns or rules from a vast volume of data. …”
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  8. 8
    Comparison of Statistic Prediction Results in Weka Explorer Interface and Experimenter Environment Interface on Dataset

    Comparison of Statistic Prediction Results in Weka Explorer Interface and Experimenter Environment Interface on Dataset by Thamer Khalil, Esmeel, Roslina, Abd Hamid, Rahmah, Mokhtar

    Published 2019
    “…With more data collected for analytical purposes. Techniques data mining through Weka Explorer interface and experimental environment interface into determining the prediction and accuracy using different algorithm ratings to know the performance of best. …”
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  9. 9
    Data Classification and Its Application in Credit Card Approval

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

    Published 2004
    “…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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  10. 10
    Machine learning application in predicting anterior cruciate ligament injury among basketball players

    Machine learning application in predicting anterior cruciate ligament injury among basketball players by Longfei, Guo

    Published 2025
    “…This study aimed to assess the predictive capability of these features using machine learning models. Data on athlete’s profile, physical function, specialized qualities, three-dimensional movement analysis, and simultaneous electromyography were prospectively collected from 104 male basketball players. …”
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  11. 11
    RARE: mining colossal closed itemset in high dimensional data

    RARE: mining colossal closed itemset in high dimensional data by Md Zaki, Fatimah Audah, Zulkurnain, Nurul Fariza

    Published 2018
    “…With that, this paper investigated the strategies implemented in both row and column enumerationbased algorithms, hence proposing the RARE; a breadth-first bottom-up row-enumeration algorithm, in mining colossal closed itemsets in high-dimensional data…”
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  12. 12
    Frequent Lexicographic Algorithm for Mining Association Rules

    Frequent Lexicographic Algorithm for Mining Association Rules by Mustapha, Norwati

    Published 2005
    “…Association rule mining is one of the data mining techniques which discovers strong association or correlation relationships among data. …”
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  13. 13
    Intuitive Content Management System to Preferences Template Throughout Data Collection by using Data Mining Classification of Prediction Method

    Intuitive Content Management System to Preferences Template Throughout Data Collection by using Data Mining Classification of Prediction Method by Chan, Chung Hoong, M. A., Ameedeen

    Published 2016
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  14. 14
    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection

    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection by Dhany, Saputra

    Published 2008
    “…Sequential pattern mining is a new branch of data, mining science that solves inter-transaction pattern mining problems. …”
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  15. 15
    ANALYSIS OF CUSTOMER SERVICE BUSINESS PROCESS USING DATA MINING

    ANALYSIS OF CUSTOMER SERVICE BUSINESS PROCESS USING DATA MINING by ABDUL RAHIM, NURALIAH

    Published 2020
    “…Hence, this paper contribute to justify by the basic concepts of data mining, described the selected types and models of algorithms, and the process of data mining by using R Tools.…”
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  16. 16
    Algorithm Development of Bidirectional Agglomerative Hierarchical Clustering Using AVL Tree with Visualization

    Algorithm Development of Bidirectional Agglomerative Hierarchical Clustering Using AVL Tree with Visualization by Hussain Mohammad Yousef Abu Dalbouh

    Published 2024
    thesis::doctoral thesis
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  17. 17
    Genetic Algorithm for Web Data Mining

    Genetic Algorithm for Web Data Mining by Loo, Kevin Teow Aik

    Published 2001
    “…By doing so, it could assist the process of data mining for information in the World Wide Web. …”
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  18. 18
    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection

    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection by Saputra , Dhany, Rambli, Dayang R.A., Foong, Oi Mean

    Published 2008
    “…Sequential pattern mining is a new branch of data, mining science that solves inter-transaction pattern mining problems. …”
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  19. 19
    Ftir of halal and non-halal adulterations prediction analytics using induction decision tree (id3) algorithm

    Ftir of halal and non-halal adulterations prediction analytics using induction decision tree (id3) algorithm by Arief, Akbar, Kartiwi, Mira, Jaswir, Irwandi

    Published 2020
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  20. 20
    Data mining for structural damage identification using hybrid artificial neural network based algorithm for beam and slab girder / Meisam Gordan

    Data mining for structural damage identification using hybrid artificial neural network based algorithm for beam and slab girder / Meisam Gordan by Meisam , Gordan

    Published 2020
    “…Data mining (DM) is a novel data extraction technology which can employ for development of inverse analysis. …”
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