Search Results - (( java application mining algorithm ) OR ( its implementation during 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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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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Conference or Workshop Item -
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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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Autonomous path planning robot using geographical information
Published 2008“…After the simulation using Matlab, the algorithm will then be implemented in the robot using basic stamp to run the mobile robot. …”
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Learning Object -
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Mobile machine vision for railway surveillance system using deep learning algorithm
Published 2021“…During simulation, the object recognition algorithm is able to detect and classify various objects into its respective classes. …”
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Proceedings -
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A study of fluctuations in genetic algorithm optimized network in data centre
Published 2017“…The reliability of genetic algorithm may vary based on implementation case, hence it is necessary to investigate its performance pattern for each implementation case. …”
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Pairwise testing tools based on hill climbing algorithm (PTCA)
Published 2014“…The actual implementation of the algorithm which is in Java programming language, the program is implemented on Net Bean 7.0.1. …”
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Undergraduates Project Papers -
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A study of fluctuations and confidence of implementation in genetic algorithm optimized network in data centre
Published 2018“…The reliability of genetic algorithm may vary based on implementation case, hence it is necessary to investigate its performance pattern for each implementation case. …”
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A study of fluctuations and confidence of implementation in genetic algorithm optimized network in data centre
Published 2018“…The reliability of genetic algorithm may vary based on implementation case, hence it is necessary to investigate its performance pattern for each implementation case. …”
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Design and development of sensor based traffic light system
Published 2006“…The main object of this study was to design and implement a suitable algorithm and its simulation for an intelligent traffic signal simulator. …”
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Design of radix-4 single path delay fast fourier transform processor with genetic algorithms optimization
Published 2011“…One of the methods is to reduce the word length of FFT during its usage. However, the reduction of word length of FFT processor will degrade its Signal to Noise Ratio (SNR) value. …”
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Thesis -
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Improving utility and recovery algorithms for adaptive real time system in multiprocessor environment
Published 2012“…The Backward Recovery GPUAS (BR_GPUAS) algorithm is implemented in the multiprocessor environment. …”
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Thesis -
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Hybrid bat algorithm-artificial neural network for modeling operating photovoltaic module temperature: article / Noor Rasyidah Hussin
Published 2014“…In other words, the implemented bat algorithm in neural network structure is to get global optimization in order to minimize mean absolute percentage error, MAPE. …”
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A semi-synchronous label propagation algorithm with constraints for community detection in complex networks
Published 2017“…Amongst the proposed community detection methods, the label propagation algorithm (LPA) emerges as an effective detection method due to its time efficiency. …”
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