Search Results - (( process visualization toward algorithm ) OR ( java application mining algorithm ))
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Direct approach for mining association rules from structured XML data
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Thesis -
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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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Article -
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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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VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS.
Published 2012“…Visualization techniques help in understanding the searching behaviour of Genetic Algorithm. lt also makes possible the user interactions during the searching process. …”
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Thesis -
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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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Agro-ento bioinformation: towards the edge of reality
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Inaugural Lecture -
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Jobs Visualization and Salary Prediction System Based on Jobstreet Malaysia / Khyrina Airin Fariza Abu Samah ... [et al.]
Published 2021“…The extracted Jobstreet’s data runs the pre-processing, develops the model, and runs on real-world data. …”
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Conference or Workshop Item -
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Simulation of shortest path using a-star algorithm / Nurul Hani Nortaja
Published 2004“…The development process for this simulation is using programming language of Microsoft Visual C I t 6.0 and the coding creation depends on the algorithm flowchart and the formula pseudocode. …”
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Thesis -
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Improved Switching-Basedmedian Filter For Impulse Noise Removal
Published 2013“…This thesis proposed a new algorithm to reduce impulse noise from digital images. …”
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Thesis -
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A hybrid fuzzy approach of Similarity-Influence-Network and DEMATEL: visualization and analysis
Published 2024“…This visual representation becomes crucial as it provides supplementary insights into analyzing the significance of criteria and their impacts within decision-making processes. …”
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Article -
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Segmentation Assisted Object Distinction For Direct Volume Rendering
Published 2013“…In this research work, we are proposing an image processing based approach towards enhancing ray casting technique’s object distinction process. …”
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Thesis -
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Low-light image analysis and contrast enhancement using gaussian process / Loh Yuen Peng
Published 2018“…The second contribution is an in-depth analysis of the collected data, specifically, by studying the global and local pixel intensities, followed by the performance and visualizations of hand-crafted and learned features. It is found that characteristics of the low-light pixel intensities provide a great challenge to algorithms. …”
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Sentiment Analysis on COVID-19 Vaccine Tweets using Machine Learning and Deep Learning Algorithms
Published 2023“…In this research the objective is to analyze the sentiment in the form of tweets towards the Covid-19 vaccination. In this study, the collected tweets are in the form of a dataset from Kaggle that have been categorized into positive and negative depending on the polarity of the sentiment in that tweet, to visualize the overall situation. …”
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Article -
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Sentiment Analysis on COVID-19 Vaccine Tweets using Machine Learning and Deep Learning Algorithms
Published 2023“…In this research the objective is to analyze the sentiment in the form of tweets towards the Covid-19 vaccination. In this study, the collected tweets are in the form of a dataset from Kaggle that have been categorized into positive and negative depending on the polarity of the sentiment in that tweet, to visualize the overall situation. …”
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