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The implications for ahybrid detection technique against malicious sqlattacks on web applications
Published 2025“…The outcome of this study will add to the body of knowledge the most important and recent proposed solutions to mitigate SQL injection attack, in particular those based on machine learning algorithm…”
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Towards paddy rice smart farming: a review on big data, machine learning, and rice production tasks
Published 2021“…This paper also presents a framework that maps the activities defined in rice smart farming, data used in data modelling and machine learning algorithms used for each activity defined in the production and post-production phases of paddy rice. …”
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Managing economic and Islamic research in big data environment: from computer science perspective / Nordin Abu Bakar
Published 2018“…In computer science, there are machine learning algorithms that have been used to solve problems in a such complex environment. …”
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Performances of machine learning algorithms for binary classification of network anomaly detection system
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Effect of chaos noise on the learning ability of back propagation algorithm in feed forward neural network
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Prediction of Machine Failure by Using Machine Learning Algorithm
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Big data analytics and intelligence: A perspective for health care
Published 2023“…There are many techniques and algorithms are available such as PPDM, Machine Learning, Data Mining Algorithms, Artificial Intelligence etc. …”
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Loan default prediction using machine learning algorithms: a systematic literature review 2020 -2023
Published 2024“…This study conducts a systematic literature review (SLR) on the prediction of loan defaults using machine learning algorithms (MLAs) from 2020 to 2023. …”
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Wavelet network based online sequential extreme learning machine for dynamic system modeling
Published 2013“…This attains good performance at extremely fast learning. The initial kernel parameters of WN played a big role to ensure fast and better learning performance. …”
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Malaysian Daily Stock Prediction Analysis Using Supervised Learning Algorithms
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Solving robot path planning problem using Ant Colony Optimisation (ACO) approach / Nordin Abu Bakar and Rosnawati Abdul Kudus
Published 2009“…Learning is a complex cognitive process; thus, the algorithms that can simulate learning are also complex. …”
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Analytical Study Of Machine Learning Models For Stock Trading In Malaysian Market
Published 2024“…Therefore, this study focused to contribute on evaluating different algorithm models such as traditional ML and deep learning models with big stock data of multiple parameters from selected companies in Bursa Malaysia. …”
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Big data approach to sentiment analysis in machine learning-based microblogs: Perspectives of religious moderation public policy in Indonesia
Published 2024“…Sentiment analysis was conducted on three primary microblogs such as Twitter, Instagram and YouTube using six machine learning algorithms. These include Naïve Bayes, Support Vector Machine (SVM), k-Nearest Neighbor (k-NN), Bagging Classifier, Random Forest, and Gradient Boosting Classifier. …”
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Real-time anomaly detection using clustering in big data technologies / Riyaz Ahamed Ariyaluran Habeeb
Published 2019“…To begin with, the existing state-of-the-art techniques related to anomaly detection, real-time big data technologies and machine learning algorithms have been critically reviewed to identify the problems. …”
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A review on big data stream processing applications: contributions, benefits, and limitations
Published 2021“…The amount of data in our world has been rapidly keep growing from time to time. In the era of big data, the efficient processing and analysis of big data using machine learning algorithm is highly required, especially when the data comes in form of streams. …”
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