Search Results - (( java implementation mining algorithm ) OR ( using creative practice algorithm ))
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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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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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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
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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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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Reimagining English language learning: a systematic review of AI integration in classroom practice (2019–2024)
Published 2025“…These include limited teacher preparedness, ethical concerns such as data privacy and algorithmic bias, and a lack of research into the long-term, scalable use of AI, particularly in under-resourced or marginalized educational contexts. …”
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Moderating role of management support in the relationship between human resource practices and employee performance: A study of academics in Nigerian Polytechnics
Published 2018“…Partial Least Squares Method (PLS) algorithm and bootstrap techniques were used to test the study's hypotheses. …”
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10
Using a priori algorithm for supporting e-commerce system
Published 2005“…This paper demonstrates the development of e-commerce system by focusing on the use of a Priori algorithm as supported feature in our e-commerce system. …”
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Aligning Malaysian SMEs with the megatrends: the roles of HPWPs and employee creativity in enhancing Malaysian SME performance
Published 2018“…The partial least squares algorithm and the bootstrapping technique were used for data analysis. …”
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Using a priori algorithm for supporting an e-commerce system
Published 2005“…This paper demonstrates the development of e-commerce system by focusing on the use of a Priori algorithm as supported feature in our e-commerce system. …”
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Development of a Negotiation Support Model for Value Management in Construction
Published 2009“…It will contribute to the Value Management body of knowledge as an advanced method for creativity and analysis phase, since the practice of this knowledge is teamwork based.…”
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Final Year Project -
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Exploring university students' utilization of AI tools in academic assignments: benefits, challenges, and ethical considerations
Published 2025“…Findings reveal that students perceive AI tools as valuable for increasing efficiency, understanding complex concepts, and fostering creativity. However, concerns about over-reliance, academic integrity, algorithmic biases, and plagiarism risks were also highlighted. …”
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Proceeding Paper -
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Contextualising Computational Thinking: A Case Study in Remote Rural Sarawak Borneo
Published 2020“…The study used observational field notes, comprehension checks, and participants’ learning products as primary data sources. …”
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Integrated artificial intelligence-based classification approach for prediction of acute coronary syndrome
Published 2014“…Using “AI-based” classification models could be considered as an innovative, creative, and multi-disciplinary strategy. …”
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