Search Results - (( simultaneously implementation plan 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 -
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Implementation of Graph Based Path Planning Algorithms on a Mobile Robot in a Confined Site
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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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8
Menu Planning Model for Malaysian Boarding School Using Self-Adaptive Hybrid Genetic Algorithms
Published 2011“…Manual calculation of menu planning is unable to consider macronutrients and micronutrients simultaneously due to complexities of data and length of time. …”
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9
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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10
Development of obstable avoidance system for 3D robot navigation
Published 2024“…In this project, an algorithm was developed to implement an obstacle avoidance system in 3D robot navigation. …”
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Final Year Project / Dissertation / Thesis -
11
Development of dynamic programming algorithm for maintenance scheduling problem
Published 2020“…Then, the data of the maintenance team from one of the utilities provider company in Malaysia was collected to be implemented in the development of a dynamic programming algorithm. …”
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Batch Scheduling Using Matrix Approach under Demand Fluctuation
Published 2010“…In this work, matrix-based batch scheduling is fut1her expanded by including demand fluctuation screening for a better planning and decision making by users. An algorithm is introduced and implemented to achieve the multiple objective functions of short makes pan, demand target, and high economic potential simultaneously.…”
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Final Year Project -
14
A NOVEL FORWARD BACKWARD LINEAR PREDICTION ALGORITHM FOR SHORT TERM POWER LOAD FORECAST
Published 2010“…The proposed AR-based algorithm divides long data record into short segments and searches for the AR coefficients that simultaneously model the data with the least means squared errors. …”
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15
Optimal Power Flow of power systems using Harris Hawks Optimization and Salp Swarm Algorithm
Published 2021“…Additionally, no preference weighted sum method has been employed to solve multi-objective OPF problems simultaneously. The obtained results showed the decent improvement comparing to other swarm-based techniques like Whale Optimization Algorithm (WOA), Math Flame (MF), and Glowworm Optimization Algorithm (GOA) in terms of convergence performance and quality. …”
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Optimum Time-Cost Trade-Off Strategies on Critical Path Method for Project Management
Published 2010“…We demonstrate that our algorithms produce consistently good results for all versions of time-cost trade-off problems. …”
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