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Direct approach for mining association rules from structured XML data
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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A web-based implementation of k-means algorithms
Published 2022“…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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Final Year Project / Dissertation / Thesis -
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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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Depression prediction system from Twitter’s tweet by using sentiment analysis / Nur Amalina Kamaruddin
Published 2020“…The main function of this system is to classify tweet into “depressed” and “not depressed”. …”
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Classification of Healthy Condition and Depression using functional Near Infrared Spectroscopy (fNIRS)
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Final Year Project -
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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Sleep as a predictor of depression level using Naïve Bayes / Nur Syakinah Md Roduan
Published 2017“…The percentage of peoples having depression nowadays is said to be inclining. However, many of the patients do not even realize that they are having major depressive disorder. …”
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Automated Diagnosis of Major Depressive Disorder Using Brain Effective Connectivity and 3D Convolutional Neural Network
Published 2021“…Major depressive disorder (MDD), which is also known as unipolar depression, is one of the leading sources of functional frailty. …”
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Factors associated with sarcopenia among hospitalised older persons / Mohd Adha Nawawi
Published 2023“…While psychological function, functional status and QOL were measured using the Minicog test, Geriatric Depression Scale [GDS], Barthel Index [BI], Mini Nutritional Assessment [MNA], and EQ5D, respectively. …”
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Thesis -
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Employability prediction based on personality test using Naive Bayes Algorithm / Mohd Alief Mukhlis Mohd Adnin
Published 2020“…The purpose of this project was to identify the personality type of person that can be used for employability prediction, to design a prototype model of prediction using Naive Bayes algorithm and to test the functionality the proposed prototype. …”
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Thesis -
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Antidepressant Treatment Response Prediction With Early Assessment of Functional Near-Infrared Spectroscopy and Micro-RNA
Published 2025“…While functional near-infrared spectroscopy (fNIRS) had previously been suggested for major depressive disorder (MDD) diagnosis, the clinical application to predict antidepressant treatment response (ATR) is still unclear. …”
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Early detection of anxiety in social media using Convolution neural network / Mohd Tharwan Hadi Ruslan
Published 2021“…From literature study, the CNN algorithm had been chosen for this project, since CNN algorithm proof to be the best algorithm for classifying anxiety patients. …”
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Thesis -
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Social Anxiety Disorder Evaluation using Effective Connectivity Measures: EEG Phase Slope Index Study
Published 2021“…The current results confirm that the involvement of the PSI algorithm in alpha oscillations is providing higher recognition of SAD level due to its sensitivity to characterize mental illness such as SAD and depression. …”
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Conference or Workshop Item -
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Identification of autism subtypes based on wavelet coherence of BOLD FMRI signals using convolutional neural network
Published 2021“…The functional connectivity (FC) patterns of resting-state functional magnetic resonance imaging (rs-fMRI) play an essential role in the development of autism spectrum disorders (ASD) classification models. …”
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Identification of autism subtypes based on wavelet coherence of BOLD FMRI signals using convolutional neural network
Published 2021“…The functional connectivity (FC) patterns of resting-state functional magnetic resonance imaging (rs-fMRI) play an essential role in the development of autism spectrum disorders (ASD) classification models. …”
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