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  1. 1
    Direct approach for mining association rules from structured XML data

    Direct approach for mining association rules from structured XML data by Abazeed, Ashraf Riad

    Published 2012
    “…There are several techniques to mine association rules from XML data. The basic approach is to map the XML documents to relational data model and to store them in a relational database. …”
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  2. 2
    Improved Boosting Algorithms by Pre-Pruning and Associative Rule Mining on Decision Trees for predicting Obstructive Sleep Apnea

    Improved Boosting Algorithms by Pre-Pruning and Associative Rule Mining on Decision Trees for predicting Obstructive Sleep Apnea by Doreen Ying Ying, Sim, Chee Siong, Teh, Ahmad Izuanuddin, Ismail

    Published 2017
    “…An improved Boosting algorithm, named as Boosted PARM-DT, was developed by pre-pruning techniques and Associative Rule Mining (ARM) on decision trees built from the clinical datasets** collected for Obstructive Sleep Apnea (OSA). …”
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  3. 3
    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
    “…Problems such as the discovery of random and coincidental patterns or patterns with no significant values, and the generation of a large volume of rules from a database commonly occur. Works on sustaining the interestingness of rules generated by data mining algorithms are actively and constantly being examined and developed. …”
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  4. 4
    An association rule mining approach in predicting flood areas

    An association rule mining approach in predicting flood areas by Mokhairi, Makhtar, Nur Ashikin, Harun, Azwa, Abdul Aziz, Zahrahtul Amani, Zakaria, Engku Fadzli Hasan, Syed Abdullah, Julaily Aida, Jusoh

    Published 2017
    “…The association rules mining technique will generate the best rules from the dataset by using Apriori algorithm which had been applied to find the frequent itemsets. …”
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  5. 5
    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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  6. 6
    Market Basket Analysis for E-Commerce using Association Rule Mining

    Market Basket Analysis for E-Commerce using Association Rule Mining by Kayalvily, Tabianan*, Sarasvathi, Nahalingham*, Leong, Kai Cheng*

    Published 2020
    “…The author has developed an ecommerce system which has back-end system to display the performance of the product and using Association Rule Mining on the datasets. …”
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  7. 7
    Using fuzzy association rule mining in cancer classification

    Using fuzzy association rule mining in cancer classification by Mahmoodian, Sayed Hamid, Marhaban, Mohammad Hamiruce, Abdul Rahim, Raha, Rosli, Rozita, Saripan, M. Iqbal

    Published 2011
    “…In addition, creating a fuzzy classifier with high performance in classification that uses a subset of significant genes which have been selected by different types of gene selection methods is another goal of this study. A new algorithm has been developed to identify the fuzzy rules and significant genes based on fuzzy association rule mining. …”
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  8. 8
    An Association Rule Mining Approach in Predicting Flood Areas

    An Association Rule Mining Approach in Predicting Flood Areas by Makhtar, Prof. Ts. Dr. Mokhairi, Syed Abdullah, Prof. Madya Dr. Engku Fadzli Hasan, Jusoh, Dr. Julaily Aida, Abdul Aziz, Azwa, Zakaria, Prof. Madya Dr. Zahrahtul Amani

    Published 2016
    “…The association rules mining technique will generate the best rules from the dataset by using Apriori algorithm which had been applied to find the frequent itemsets. …”
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  9. 9
    Y-type Random 2-satisfiability In Discrete Hopfield Neural Network

    Y-type Random 2-satisfiability In Discrete Hopfield Neural Network by Guo, Yueling

    Published 2024
    “…The developed logic mining will be used to analyze the Alzheimer's Disease Neuroimaging Initiative dataset.…”
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  10. 10
    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
    “…This patterns or rules may help to develop better decision-making process. …”
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  11. 11
    First Semester Computer Science Students’ Academic Performances Analysis by Using Data Mining Classification Algorithms

    First Semester Computer Science Students’ Academic Performances Analysis by Using Data Mining Classification Algorithms by Azwa, Abdul Aziz, Fadhilah, Ahmad

    Published 2014
    “…From the experiment, the models develop using Rule Based and Decision Tree algorithm shows the best result compared to the model develop from the Naïve Bayes algorithm. …”
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  12. 12
    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
    “…In order to develop this application, the short-form rules need to be carefully examined. …”
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  13. 13
    Association Rule Mining Using Market Basket Analysis

    Association Rule Mining Using Market Basket Analysis by Nor Fadilah, Tahar @ Yusoff

    Published 2003
    “…The results of this analysis can help the retailers to design promotions, arrange shelf or catalogue items and develop cross marketing strategies. To do the analysis, association rules mining is the popular technique for market basket analysis because of their potential in extracting rules between items in transactions. …”
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  14. 14
    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
    “…In order to develop this application, the short-form rules need to be carefully examined. …”
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  15. 15
    Analysis of Traffic Accident Patterns Using Association Rule Mining

    Analysis of Traffic Accident Patterns Using Association Rule Mining by Yudy, Pranata, Tri Basuki, Kurniawan, Edi Surya, Negara, Ahmad Haidar, Mirza

    Published 2024
    “…The processed rules can be a foundation for developing predictive models or decision-making tools to mitigate accident risks. …”
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  16. 16
    An initial state of design and development of intelligent knowledge discovery system for stock exchange database

    An initial state of design and development of intelligent knowledge discovery system for stock exchange database by Che Mat @ Mohd Shukor, Zamzarina, Khokhar, Rashid Hafeez, Md Sap, Mohd Noor

    Published 2004
    “…Data mining is a challenging matter in research field for the last few years.Researchers are using different techniques in data mining.This paper discussed the initial state of Design and Development Intelligent Knowledge Discovery System for Stock Exchange (SE) Databases. …”
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  17. 17
    Integrated approach using data mining-based decision tree and object-based image analysis for high-resolution urban mapping of WorldView-2 satellite sensor data

    Integrated approach using data mining-based decision tree and object-based image analysis for high-resolution urban mapping of WorldView-2 satellite sensor data by Hamedianfar, Alireza, Mohd Shafri, Helmi Zulhaidi

    Published 2016
    “…The developed DT algorithm was applied to object-based classifications in the first study area. …”
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  18. 18
    An adaptive ant colony optimization algorithm for rule-based classification

    An adaptive ant colony optimization algorithm for rule-based classification by Al-Behadili, Hayder Naser Khraibet

    Published 2020
    “…Various classification algorithms have been developed to produce classification models with high accuracy. …”
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  19. 19
    An enhanced intelligent database engine by neural network and data mining

    An enhanced intelligent database engine by neural network and data mining by Chua, Boon Lay, Khalid, Marzuki, Yusof, Rubiyah

    Published 2000
    “…An Intelligent Database Engine (IDE) is developed to solve any classification problem by providing two integrated features: decision-making by a backpropagation (BP) neural network (NN) and decision support by Apriori, a data mining (DM) algorithm. …”
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  20. 20
    An Improved C4.5 Data Mining Driven Algorithm for the Diagnosis of Coronary Artery Disease

    An Improved C4.5 Data Mining Driven Algorithm for the Diagnosis of Coronary Artery Disease by Haruna, A.A., Muhammad, L.J., Yahaya, B.Z., Garba, E.J., Oye, N.D., Jung, L.T.

    Published 2019
    “…This research used an im-proved C4.5 data mining algorithm for the diagnosis of CAD. A performance evaluation of the improved algorithm was carried out against the traditional C4.5 Algorithm. …”
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