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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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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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Mining Sequential Patterns using I-PrefixSpan
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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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Thesis -
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Immune Log-Normal Evolutionary Programming (ILNEP) for solving economic dispatch problem with prohibited operating zones
Published 2023Conference Paper -
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Neural network based model predictive control for a steel pickling process
Published 2009“…The baths exhibit the normal features of an industrial system such as nonlinear dynamics and multi-effects among variables. …”
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Article -
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Development of MATLAB® GUI for infant cry signal analysis using FFT / Suzilawati Muhamud @ Kayat
Published 2008“…FFT analysis and Hilbert transformation were used to extract information embedded in both cry signals Algorithms and programming utilizing MATLAB R2007b were written to search for the fundamental frequency of each cry signal and to identify the type of signal uniquely according to its fundamental frequency. …”
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Thesis -
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Heartbeat disease diagnosis using text-based approaches
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Framework for pedestrian walking behaviour recognition to minimize road accident
Published 2021“…The results indicate the following: (1) From 262 samples, 66.80% and 48.10% of respondents use mobile phones for calling and chatting, respectively. (2) 263 samples of participants are obtained and analysed, and 90 features are extracted from each sample. (3) 100% classification accuracy are obtained for each class (normal walking, calling, chatting, and running) using the grid optimiser method in machine learning. (4) The precision of classification using Euclidean algorithm for normal walking and calling is 70%. …”
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Thesis -
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Framework for pedestrian walking behaviour recognition to minimize road accident
Published 2021“…The results indicate the following: (1) From 262 samples, 66.80% and 48.10% of respondents use mobile phones for calling and chatting, respectively. (2) 263 samples of participants are obtained and analysed, and 90 features are extracted from each sample. (3) 100% classification accuracy are obtained for each class (normal walking, calling, chatting, and running) using the grid optimiser method in machine learning. (4) The precision of classification using Euclidean algorithm for normal walking and calling is 70%. …”
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Thesis -
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Nearfield Electromagnetic Imaging Technique For Brain Tumour Detection
Published 2019“…Brain tumour is among the deadliest disease that is fatal if left untreated. …”
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Thesis -
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Analyzing the cost-effectiveness of enhancement approaches for rehabilitating water distribution network
Published 2021“…Then, Cronbach’s alpha, mean score ranking, normalization value, and agreement analysis were carried in the data analysis phase. …”
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Thesis -
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A multi-filter feature selection in detecting distributed denial-of-service attack
Published 2019“…Flash crowd attack is the most challenging problem among the attacks which targeting the web server during the Flash Events (FEs). …”
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