Search Results - (( java implementation mining algorithm ) OR ( learning collaborative learning algorithm ))
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1
Direct approach for mining association rules from structured XML data
Published 2012“…The thesis also provides a two different implementation of the modified FLEX algorithm using a java based parsers and XQuery implementation. …”
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Thesis -
2
Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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Article -
3
Scalable approach for mining association rules from structured XML data
Published 2009“…Many techniques have been proposed to tackle the problem of mining XML data we study the various techniques to mine XML data and yet We presented a java based implementation of FLEX algorithm for mining XML data.…”
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4
Mining association rules from structured XML data
Published 2009“…Many techniques have been proposed to tackle the problem of mining XML data. We study the various techniques to mine XML data and yet We presented a java based implementation of FLEX algorithm for mining XML data.…”
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5
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 -
6
Campus study buddy : collaborative learning and resource sharing app
Published 2024“…Higher education institutions can use this program to provide students with a platform to collaborate and support each other's learning, creating a collaborative learning environment, promoting knowledge sharing, and improving student academic success. …”
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7
Deep reinforcement learning approaches for multi-objective problem in Recommender Systems
Published 2022“…In the performance comparison between proposed deep reinforcement learning with evolutionary algorithm, despite one of the variants of evolutionary algorithm has good performance in precision, it has rather weak performance in term of novelty and diversity. …”
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8
Industry 5.0 and Education 5.0: Transforming Vocational Education through Intelligent Technology
Published 2024“…By analyzing the research gaps in personalized learning paths, emotion-driven learning, crossdisciplinary integration, and long-term learning behavior analysis, the paper proposes four improved algorithms: the adaptive learning path generation algorithm, the emotion-driven personalized learning algorithm, the cross-disciplinary knowledge graph algorithm, and the long-term learning behavior prediction algorithm. …”
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9
Teaching and learning qur'anic Arabic utilizing adaptive and intelligent systems for collaborative learning (EDW B13-084-0969)
Published 2015“…Despite the availability of conventional resources for this purpose, according to our detailed investigation, no empirical research has explored the possibilities of emerging adaptive and intelligent systems for collaborative learning to address this challenge. The goals of this research are: (a) to determine the applicability of learner corpus research through automated pattern extraction from available Qur'anic corpora (b) to investigate declarative memory modeling approaches in order to develop a quantitative algorithm to maximize learning and (c) to explore the possibilities of utilizing existing social networks to enhance learner motivation.…”
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A novel navigation algorithm for collaborative multi robots
Published 2010“…But present unique challenges for developing collaborative navigation algorithm and coordination among themselves are not sufficient for autonomous collaborative tasks. …”
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11
Image clustering comparison of two color segmentation techniques
Published 2010“…The clustering research is regarding the area of data mining and implementation of the clustering algorithms. …”
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12
The integration of Voip and e-Learning system in a collaborative learning environment / Ahmad Zulkhair Zakaria
Published 2006“…Derived from this ability, the idea to make an Integration of VoIP and E-Learning System in a Collaborative Learning Environment appears. …”
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Student Project -
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Multiobjective deep reinforcement learning for recommendation systems
Published 2022“…Existing multi-objective (MO) RSs employed collaborative filtering and combined with evolutionary algorithms to handle bi-objective optimization. …”
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14
Multi-objective deep reinforcement learning for recommendation systems
Published 2022“…Existing multi-objective (MO) RSs employed collaborative filtering and combined with evolutionary algorithms to handle bi-objective optimization. …”
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15
A collaborative filtering approach using machine learning and business intelligence: a critical review
Published 2025“…Specifically, we discovered that combining deep learning techniques with reinforcement learning algorithms enhanced recommendation reliability by 35% while improving user engagement measures by 25%. …”
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16
A collaborative navigation algorithm for multi-agent robots in autonomous reconnaissance mission
Published 2010“…But present unique challenges for developing collaborative navigation algorithm and coordination among themselves are not sufficient for autonomous collaborative tasks. …”
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Proceeding Paper -
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Contextualising Computational Thinking: A Case Study in Remote Rural Sarawak Borneo
Published 2020“…Findings illustrate a direction in which novice indigenous children could learn and be informed about Computational thinking practices and skills through a mix of game-based learning, collaborative learning, problem-based learning, and project-based learning. …”
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18
A machine learning approach to tourism recommendations system
Published 2025“…To overcome this problem, this project implements machine learning algorithms with collaborative filtering, content-based filtering and hybrid filtering approaches. …”
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Final Year Project / Dissertation / Thesis -
19
Data Analysis and Machine Learning Algorithms Evaluation for Bioliq AI-based Predictive Tool
Published 2019“…This final year project identified relevant parameters through literature research, analysis and expert interview, and evaluated different machine learning algorithms and identified linear regression as the most applicable and efficient with its R-square of 0.8015, qualifying it to be used for the development of a hybrid model for the AI-based tool for predictive process optimization for chemical plants.…”
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Final Year Project -
20
Improved rsync algorithm to minimize communication cost using multi-agent systems for synchronization in multi-learning management systems
Published 2017“…This model enhances the interoperability and collaboration of HLIs in terms of synchronization and sharing of learning contents. …”
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Thesis