Search Results - (( develop thinking model algorithm ) OR ( java application mining algorithm ))
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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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Article -
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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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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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Thesis -
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Word problems as a vehicle for teaching computational thinking
Published 2023“…This conceptual framework has two objectives: (1) developing deep learning and connected computational thinking through a mathematical curriculum instructional model which is capable of improving students' problem-solving skills; and (2) implementing the designed model to assist teachers in education who encountered difficulties when using problem-based curriculum materials. …”
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Unlocking insights: A comprehensive dataset analysis on the acceptance of computational thinking skills among undergraduate university students through the lens of extended techno...
Published 2024“…This dataset stands among the pioneering efforts to assess the novel covariance-based structural equation model algorithm within SmartPLS 4, presenting a valuable resource for future research employing the same mechanism.…”
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Why coding? Why now? From coding to computational thinking through computational mathematics problem based learning (CM-PBL)
Published 2019“…This conceptual framework is aimed at two goals: (1) development of deep learning, connected computational thinking through the mathematical curriculum instructional model which able to enhance students’ problem solving abilities and (2) implementation of the designed model to assist teacher in education who has practicing difficulty in elementary classrooms after adopting teacher enactment of problem-based curriculum resources. …”
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Conference or Workshop Item -
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The Effectiveness Of Steam Integrated Approach Using Scratch Module On Achievement And Computational Thinking In Learning Electricity Concepts
Published 2022“…The five subconstructs CT was algorithmic thinking, cooperativity, creativity, critical thinking and problem solving. …”
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Thesis -
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The A-rray: visual animation in learning structured programming / Wan Salfarina Wan Husain ,Siti Hasrinafasya Che Hassan and Wan Norliza Wan Bakar
Published 2018“…The ADDIE model of instructional design was used to develop the application.…”
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Computational Thinking : Experiences of Rural Pupils in Sarawak Primary School
Published 2021“…The study employed embedded mixed methods design using a quasi-experimental approach which aims to provide an in-depth understanding of how pupils in remote rural area adapt and process to learning Computational Thinking skills (i.e., abstraction, algorithmic thinking, and decomposition) as well as their attitudes towards computational thinking practices by engaging in an unplugged game-based, art-based, Scratch programming and robotic activities through a revised Computational Thinking pedagogical model. …”
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Thesis -
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Modelling Autonomous Evacuation Navigation System (AENS) for optimal route using Dijkstra's algorithm
Published 2016“…Therefore, this study has modelled a conceptual framework for “Autonomous Evacuation Navigation System” (AENS) by adapting the systems thinking (ST). …”
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Mathematical modelling on communication between two parties / Nor Anees Asyiqin Md Disa, Khairunnisa Munawarah Khairul Anwar and Aniesa Farhana Mazlan
Published 2022“…The proposed method of two-party one-way communication and the ECC key exchange protocol may be extended in future research to explore experimental numerical examples of element selection. The algorithm can be developed by using MAPLE software to generate points and calculate the procedure more easily. …”
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Student Project -
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E-Grocery application with Geolocation and YOLO Algorithm / Ikhwan Nurhakim Zuzalli and Raihana Md Saidi
Published 2021“…The objective of this project is to develop an E-Grocery application using geolocation and YOLO algorithm. …”
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Book Section -
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CSC649 - Special Topics in Computer Science / College of Computing, Informatics and Media
Published 2022“…The course will cover specialized technology and described in terms of frameworks and problem formulations, standard models, methods, computational tools, algorithms, as well as methodologies to evaluate the system and select optimal models. …”
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Teaching Resource -
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CSC649: Special Topics in Computer Science / College of Computing, Informatics and Mathematics
Published 2018“…The course will cover specialized technology and described in terms of frameworks and problem formulations, standard models, methods, computational tools, algorithms, as well as methodologies to evaluate the system and select optimal models. …”
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Teaching Resource -
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Personalized Recommendation Classification Model of Students’ Social Well-being Based on Personality Trait Determinants Using Machine Learning Algorithms
Published 2023“…This article will discuss the development of an adaptive personalized recommendation classification model for students’ social well-being based on personality trait determinants. …”
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Article -
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A Comparative Analysis of Machine Learning and Deep Learning Algorithms for Image Classification
Published 2024“…For machine learning, SVM is a very good classification model. CNN is a type of convolution neural network that has an unpredictable development and uses convolution calculations. …”
Conference Paper
