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Improving the accuracy of collaborative filtering recommendations using clustering and association rules mining on implicit data

M. Najafabadi, M. Naz'ri, S. Chuprat, and H. Sarkan. Computers in Human Behavior, (2017)

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Improving the accuracy of collaborative filtering recommendations using clustering and association rules mining on implicit dataM. Najafabadi, M. Naz'ri, S. Chuprat, and H. Sarkan. Computers in Human Behavior, (2017)A deadline-based algorithm for dynamic task scheduling with precedence constraints.S. Chuprat, and S. Salleh. Parallel and Distributed Computing and Networks, page 156-161. IASTED/ACTA Press, (2007)Taxonomy of Cyber Threat Intelligence Framework.A. Irfan, S. Chuprat, M. Mahrin, and A. Ariffin. ICTC, page 1295-1300. IEEE, (2022)Scheduling Divisible Real-Time Loads on Clusters with Varying Processor Start Times.S. Chuprat, and S. Baruah. RTCSA, page 15-24. IEEE Computer Society, (2008)Identifying Benefits and risks associated with utilizing cloud computing.J. Shayan, A. Azarnik, S. Chuprat, S. Karamizadeh, and M. Alizadeh. CoRR, (2014)Software Engineering Wastes - A Perspective of Modern Code Review.N. Fatima, S. Nazir, and S. Chuprat. ICSIM, page 93-99. ACM, (2020)Modern Code Review Benefits-Primary Findings of A Systematic Literature Review.S. Nazir, N. Fatima, and S. Chuprat. ICSIM, page 210-215. ACM, (2020)Methods for Application Development by Non-Programmers: A Systematic Literature Review.I. Azmy, A. Azmi, N. Kama, H. Rusli, S. Chuprat, and A. Anuar. WSSE, page 1-8. ACM, (2023)Acute lymphoblastic leukemia segmentation using local pixel information.S. Al jaboriy, N. Sjarif, S. Chuprat, and W. Abduallah. Pattern Recognit. Lett., (2019)Endpoint Detection and Response: Why Use Machine Learning?N. Sjarif, S. Chuprat, M. Mahrin, N. Ahmad, A. Ariffin, F. Senan, N. Zamani, and A. Saupi. ICTC, page 283-288. IEEE, (2019)

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Improving the accuracy of collaborative filtering recommendations using clustering and association rules mining on implicit data

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Improving the accuracy of collaborative filtering recommendations using clustering and association rules mining on implicit data

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Improving the accuracy of collaborative filtering recommendations using clustering and association rules mining on implicit data