Search Results - (( developing big ((data algorithm) OR (path algorithm)) ) OR ( java implication based algorithm ))
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The implications for ahybrid detection technique against malicious sqlattacks on web applications
Published 2025“…Therefore, it is essential to develop a new technique to authenticate access to database related to web applications and prevent SQL injection vulnerabilities. …”
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Design of an advanced encryption standard crypto-processor core for field programmable gate array implementation
Published 2006“…Cryptographic applications becoming increasingly more important in today’s world of data exchange. Big volume data needs to be transferred from one location to another through communication path but exposes to attackers. …”
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Development of heuristic task scheduling algorithm in cloud computing
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Proceeding Paper -
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Development and Integration of Metocean Data Interoperability for Intelligent Operations and Automation Using Machine Learning: A Review
Published 2022“…This slows down provisioning, while the monitoring element of the Metocean data path is partial. In this paper, we demonstrate the capabilities of ML for the development of Metocean data integration interoperability based on intelligent operations and automation. …”
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The Parallel Fuzzy C-Median Clustering Algorithm Using Spark for the Big Data
Published 2024“…Therefore, we develop a Parallel Fuzzy C-Median Clustering Algorithm Using Spark for Big Data that can handle large datasets while maintaining high accuracy and scalability. …”
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Mapreduce algorithm for weather dataset
Published 2017“…This original dataset is stored in Hadoop Distributed File System. Next, MapReduce Algorithm is developed using Java programming. The algorithm is tested using small and big dataset. …”
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Development and Integration of Metocean Data Interoperability for Intelligent Operations and Automation Using Machine Learning: A Review
Published 2022“…This slows down provisioning, while the monitoring element of the Metocean data path is partial. In this paper, we demonstrate the capabilities of ML for the development of Metocean data integration interoperability based on intelligent operations and automation. …”
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Design and analysis of management platform based on financial big data
Published 2023“…Traditional financial accounting will become limited by new technologies which are unable to meet the market development. In order to make financial big data generate business value and improve the information application level of financial management, aiming at the high error rate of current financial data classification system, this article adopts the fuzzy clustering algorithm to classify financial data automatically, and adopts the local outlier factor algorithm with neighborhood relation (NLOF) to detect abnormal data. …”
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A big data prediction framework for weather forecast using MapReduce algorithm
Published 2017“…The process of weather forecasting is developing as the effect of advancement in technology right from the realization of increasing size of data, Weather forecasting was found to be based on big data. …”
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MapReduce algorithm for weather dataset
Published 2018“…This original dataset is stored in Hadoop Distributed File System. Next, MapReduce Algorithm is developed using Java programming. The algorithm is tested using small and big dataset. …”
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Research Report -
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Optimisation model for scheduling MapReduce jobs in big data processing / Ibrahim Abaker Targio Hashem
Published 2017“…With the fast development of Internet-based technologies, data generation has increased drastically over the past few years, coined as big data era. …”
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Big Data Mining Using K-Means and DBSCAN Clustering Techniques
Published 2022“…The World Wide Web industry generates big and complex data such as web server log files. …”
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Modelling Autonomous Evacuation Navigation System (AENS) for optimal route using Dijkstra's algorithm
Published 2016“…Through ST adaptation, all subsystems were integrated and using the “Dijkstra’s algorithm” (DA) by modifying its function from shortest path algorithm to safest and shortest algorithm, to the nearest exit. …”
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Fast approach for automatic data retrieval using R programming language
Published 2017“…The developed algorithm performs data retrieval using a source file and a map file as inputs and produces a desired output file. …”
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Local and global measures for measuring performance of big data analytics process
Published 2019“…More has been written about the quality of big data, its dimensions and algorithms applied on data to solve complex problems. …”
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Metocean Big Data Processing Using Hadoop
Published 2015“…This report will discuss about MapReduce and how it handles big data. In this report, Metocean (Meteorology and Oceanography) Data will be used as it consist of large data. …”
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Final Year Project -
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Data Transformation Model For Addressing Incomplete And Inconsistent Quality Issues Of Big Data
Published 2024“…Data Quality (DQ) assessment remains one of the major challenges for Big Data (BD) due to the complexity of handling large volumes of data. …”
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Novel rule base development from IED-resident big data for protective relay analysis expert system
Published 2016“…However, manual handling of overwhelming volume of relay resident big data and heavy dependence on the protection experts’ contrasting knowledge and inundating relay manuals have hindered the maintenance of the Expert Systems. …”
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Investigating the Application of Artificial Intelligence for Earthquake Prediction in Terengganu
Published 2023text::Thesis
