Search Results - data classification model

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  1. 1
    Integrated artificial intelligence-based classification approach for prediction of acute coronary syndrome

    Integrated artificial intelligence-based classification approach for prediction of acute coronary syndrome by Salari, Nader

    Published 2014
    “…The classification performance of K1-K2-NN model was benchmarked against 13 commonly used classification models using repeated random sub-sampling crossvalidation on ACSEKI data set. …”
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  2. 2
    Classification Of Brainwave Using Data Mining In Producing An Emotional Model

    Classification Of Brainwave Using Data Mining In Producing An Emotional Model by Khairul Anuar, Nurshuhada Mahfuz, Md Jan Nordin, Waidah Ismail, Mohd Zalisham Jali

    Published 2024
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  3. 3
    Biomechanical Markerless Motion Classification Based On Stick Model Development For Shop Floor Operator

    Biomechanical Markerless Motion Classification Based On Stick Model Development For Shop Floor Operator by Liew, Yu Liang

    Published 2021
    “…Therefore, this research is purposed to develop a markerless motion classification model of shopfloor operators using stick model augmentation on the motion video and identify the best data mining strategy for the industrial motion classification. …”
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  4. 4
    Development of predictive modeling and deep learning classification of taxi trip tolls

    Development of predictive modeling and deep learning classification of taxi trip tolls by Al-Shoukry, Suhad, M. Jawad, Bushra Jaber, Zalili, Musa, Sabry, Ahmad H.

    Published 2022
    “…The purpose is to make predictions based on fresh data in order to see how well the model performs with new data. …”
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  5. 5
    Systematic Literature Review of Mixed Variables Classification

    Systematic Literature Review of Mixed Variables Classification by Ai Huong, Penny Ngu, Hamid, Hashibah

    Published 2023
    “…The studies had been reviewed and discussed under the topic of classification, location model and smoothed location model in different data situations. …”
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  6. 6
    New Learning Models for Generating Classification Rules Based on Rough Set Approach

    New Learning Models for Generating Classification Rules Based on Rough Set Approach by Al Shalabi, Luai Abdel Lateef

    Published 2000
    “…The accuracy of the classification rules by the proposed models was high compared to other models.…”
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  7. 7
    Modeling students' background and academic performance with missing values using classification tree

    Modeling students' background and academic performance with missing values using classification tree by Hasan, Norsida

    Published 2014
    “…Classification tree model produce the highest accuracy in predicting student's degree classification using their background data as compared to Bayesion network and naive Bayes. …”
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  8. 8
    A model for gene selection and classification of gene expression data

    A model for gene selection and classification of gene expression data by Mohamad, Mohd Saberi, Omatu, Sigeru, Deris, Safaai, Mohd Hashim, Siti Zaiton

    Published 2007
    “…We show that the classification accuracy of the proposed model is useful for the cancer classification of one widely used gene expression benchmark data set…”
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  9. 9
    Propositional satisfiability method in rough classification modeling for data mining

    Propositional satisfiability method in rough classification modeling for data mining by Abu Bakar, Azuraliza

    Published 2002
    “…Total number rules generated for the best classification model is recorded where the 30% of data were used for training and 70% were kept as test data. …”
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  10. 10
    Enhancing Accuracy Of Credit Scoring Classification With Imbalance Data Using Synthetic Minority Oversampling Technique-Support Vector Machine (SMOTE-SVM) Model

    Enhancing Accuracy Of Credit Scoring Classification With Imbalance Data Using Synthetic Minority Oversampling Technique-Support Vector Machine (SMOTE-SVM) Model by Bingamawa, Muhammad Tosan

    Published 2017
    “…Based on this result, an SMOTE-SVM model is believed to be effective in handling imbalanced data for credit scoring classification.…”
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  11. 11
    Customer churn classification in telecommunication company using rough set theory

    Customer churn classification in telecommunication company using rough set theory by Nur Syafiqah, Mohd Nafis

    Published 2016
    “…Thus, it is necessary to consider an efficient classification model to reduce the rate of churn. In the traditional approach of classification modelling, it do not produce straightforward result interpretation. …”
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  12. 12
    A Hybrid Artificial Neural Network Model For Data Visualisation, Classification, And Clustering [QP363.3. T253 2006 f rb].

    A Hybrid Artificial Neural Network Model For Data Visualisation, Classification, And Clustering [QP363.3. T253 2006 f rb]. by Teh, Chee Siong

    Published 2006
    “…In this thesis, the research of a hybrid Artificial Neural Network (ANN) model that is able to produce a topology-preserving map, which is akin to the theoretical explanation of the brain map, for data visualisation, classification, and clustering is presented. …”
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  13. 13
    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
    “…In data mining, classification learning is broadly categorized into two categories; supervised and unsupervised. …”
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  14. 14
    Stock market classification model using sentiment analysis based on hybrid naive bayes classifiers

    Stock market classification model using sentiment analysis based on hybrid naive bayes classifiers by A. Jabbar Alkubaisi, Ghaith Abdulsattar

    Published 2019
    “…In this research, a model for stock market classification based on sentiment analysis is constructed. …”
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  15. 15
    DEVELOPMENT OF PREDICTIVE MODELING AND DEEP LEARNING CLASSIFICATION OF TAXI TRIP TOLLS

    DEVELOPMENT OF PREDICTIVE MODELING AND DEEP LEARNING CLASSIFICATION OF TAXI TRIP TOLLS by Al-Shoukry S., Jawad B.J.M., Musa Z., Sabry A.H.

    Published 2023
    “…The purpose is to make predictions based on fresh data in order to see how well the model performs with new data. …”
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  16. 16
    Building classification models from imbalanced fraud detection data / Terence Yong Koon Beh, Swee Chuan Tan and Hwee Theng Yeo

    Building classification models from imbalanced fraud detection data / Terence Yong Koon Beh, Swee Chuan Tan and Hwee Theng Yeo by Terence, Yong Koon Beh, Swee, Chuan Tan, Hwee, Theng Yeo

    Published 2014
    “…We evaluated the models generated from seven classification algorithms with two simple data balancing techniques. …”
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  17. 17
    A new model for iris data set classification based on linear support vector machine parameter's optimization

    A new model for iris data set classification based on linear support vector machine parameter's optimization by Faiz Hussain, Zahraa, Ibraheem, Hind Raad, Alsajri, Mohammad, Ali, Ahmed Hussein, Mohd Arfian, Ismail, Shahreen, Kasim, Sutikno, Tole

    Published 2020
    “…As a process of knowledge discovery. Classification is a data analysis that extracts a model which describes an important data classes. …”
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  18. 18
    A Predictive Classification Model For Running Injury

    A Predictive Classification Model For Running Injury by Ganesan, Devesh Raj

    Published 2022
    “…Studies have yet to develop a good predictive classification model for running injury. Therefore, the goal of this study was to identify the determinants of running injuries, to classify running data by degree of severity and to develop a predictive classification model of running injury. …”
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  19. 19
    Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining.

    Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining. by Saeed, Walid

    Published 2005
    “…Therefore generating a good decision model or classification model is a major component in many data mining researches. …”
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  20. 20
    Six grades agarwood oil quality classification using K : nearest neighbour model of significant chemical compounds / Aqib Fawwaz Mohd Amidon

    Six grades agarwood oil quality classification using K : nearest neighbour model of significant chemical compounds / Aqib Fawwaz Mohd Amidon by Mohd Amidon, Aqib Fawwaz

    Published 2023
    “…Eighty percent of the data samples are used for the model training, and twenty percent of the data samples are used for the model testing. …”
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