Search Results - (( developing knowledge driven algorithm ) OR ( java implementation mining 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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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
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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7
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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8
An Improved C4.5 Data Mining Driven Algorithm for the Diagnosis of Coronary Artery Disease
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Conference or Workshop Item -
9
A Fusion-Based Framework For Explainable Suicide Attempt Prediction
Published 2024“…Existing studies on the framework for predictive models using data-driven and knowledge-driven approaches are insufficiently explained and unable to provide an understandable prediction of suicide attempts for suicide prevention in a systematic way. …”
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10
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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11
A bibliometric analysis: AI-driven data placement optimization in cloud replication environments
Published 2024“…Several studies have examined this area, aiming to enhance data replication techniques by integrating AI algorithms. There is still a minimum number of studies that have discovered the trending of the existing literature that reveals cloud replication leveraging artificial intelligence techniques in the current body of knowledge. …”
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12
A PLC-based Hybrid Fuzzy PID Controller for PWM-driven Variable Speed Drive
Published 2010“…A simulation model in MA TLAB/Simulink is developed using system identification technique to perform verification of the PLCbased intelligent controller of the PWM-driven VVVF algorithm. …”
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13
Computational Thinking (Algorithms) Through Unplugged Programming Activities: Exploring Upper Primary Students’ Learning Experiences
Published 2021“…Studies have shown the effectiveness of UPA in developing CT skills and is comparable to the technology driven learning method. …”
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14
An expert knowledge based decommissioning alternative selection system for fixed oil and gas assets in the South China Sea
Published 2017“…A comprehensive framework is proposed to establish a practical working philosophy for the developed algorithm. © 2016 Elsevier Ltd…”
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15
Google the earth: what's next?
Published 2010“…Considering the exponential growth of data volumes driven by the rapid progress in sensor and computer technologies in recent years, the future of remotely sensed data should ideally be in automated data processing, development of robust and transferable algorithms and processing chains that require little or no human intervention. …”
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Inaugural Lecture -
16
Simulation of an adaptive artificial neural network for power system security enhancement including control action
Published 2015“…This study aims to find a significant control action that alleviates the bus voltage violation of a power system and to develop an automatic data knowledge generation method for the adaptive ANN. …”
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17
Computational Thinking Through Unplugged Programming Activities : Exploring Students’ Learning Experiences
Published 2019“…Studies have shown the effectiveness of UPA in developing CT skills and is comparable to the technology driven learning method. …”
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18
LINGUISTIC FUZZY MODELING IN LASER MACHINING QUALITY EVALUATION
Published 2007“…The aim of this scientific research is to design knowledge based linguistic rules, algorithm, architecture & learning ability and further develop fuzzy model for laser machining kerf edge quality prediction. …”
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Conference or Workshop Item -
19
Transitioning from information sharing to knowledge services: unpacking the evolution of rural media within the context of media integration
Published 2023“…By bridging the urban–rural digital divide, this study contributes to a more equitable media landscape in China and underscores the platform’s role in reshaping the dynamics of knowledge dissemination and entertainment consumption in the knowledge-based economy of the twenty-first century.…”
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20
The exploration of hybrid metaheuristics-based approaches: A bibliometric analysis
Published 2025“…The rapid evolution of computational intelligence has driven significant interest in hybrid metaheuristics, which combine multiple optimization algorithms to solve complicated problems more efficiently. …”
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