Search Results - (( program big data algorithm ) OR ( java application customization algorithm ))
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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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Thesis -
2
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 -
3
Fast approach for automatic data retrieval using R programming language
Published 2017“…Thus, this work proposes a fast approach for automatic data retrieval using R, a powerful programming language for statistical and big data analysis. …”
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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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Satisfiable Integer Programming Algorithm On Distributed Inter Process Communication (SIP-DIPC)
Published 2019“…Data Analytics is a superset to Data Mining. Data mining algorithm is getting popular support in recent development of Big Data. …”
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K Nearest Neighbor Joins And Mapreduce Process Enforcement For The Cluster Of Data Sets In Bigdata
Published 2018“…K Nearest Neighbor Joins (KNN join) are regarded as highly primitive and expensive operations in the data mining.The efficient use of KNN join has proven good results in finding the objects from two data sets prevailed in the huge databases.This has been achieved with the combination of K-Nearest Neighbor query and join operation to find the distinct objects from different data sets.MapReduce is a newly introduced program with the combination of Map Procedure method and Reduce Method widely used in BigData.MapReduce is enriched with parallel distributed algorithm to find the results on a cluster of data sets in BigData.In this paper,the combination of KNN join and MapReduce methods are utilized on the cluster of data sets in BigData for knowledge discovery.Exploring the pinpoint data from huge data sets stored in Big Data demands the distributed large scale data processing.The present research paper is focusing on generic steps for KNN joins exploration operations on MapReduce.The operations of KNN Join are targeted to perform the data partitioning and data pre-processing and necessary calculations.By utilizing the combination of KNN joins with MapReduce methods on BigData data sets will demonstrate a solution for complex computational analysis. …”
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Tracking student performance in introductory programming by means of machine learning
Published 2023“…Big data; Decision trees; Education computing; Learning algorithms; Learning systems; Machine learning; Smart city; Students; Trees (mathematics); Educational data mining; Educational institutions; Hidden patterns; Introductory programming; Introductory programming course; Student performance; Student's performance; Weka; Data mining…”
Conference Paper -
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DATA ANALYTICS FOR HOSPITAL OPERATIONS
Published 2015“…This statistical software is programmed to run multiple algorithms on the massive datasets in the mean of revealing similarities of items related to sets by focusing on the algorithm based of Market-Basket method. …”
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Final Year Project -
10
Design and Implementation of Data-at-Rest Encryption for Hadoop
Published 2017“…Map Reduce is one common programming model to process and handle a large amount of data, specifically in big data analysis. …”
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Conference or Workshop Item -
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Design and Implementation of Data-at-Rest Encryption for Hadoop
Published 2017“…Map Reduce is one common programming model to process and handle a large amount of data, specifically in big data analysis. …”
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Computer remote monitoring via mobile phones using socket programming / Samih Omer Fadlelmola Elkhider
Published 2011“…The studies show beyond technical algorithms, physical aspects plays a big rule in client server model. …”
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13
Building customer churn prediction models in Indonesian telecommunication company using decision tree algorithm
Published 2023“…This study uses data mining techniques with decision tree algorithms to predict customer churn in one of Indonesian Telecommunication companies. …”
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Current applications of machine learning in dentistry
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Book Chapter -
15
Enhancing obfuscation technique for protecting source code against software reverse engineering
Published 2019“…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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Predictive analytic dashboard for desalter and crude distillation unit
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Oil Palm Yield Data Collection Using Image Processing
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Final Year Project / Dissertation / Thesis -
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A review on security and privacy issues in E-learning and the MapReduce aproach
Published 2019“…MapReduce is a promising parallel programming model for processing large data. Then, we proposed e-Learning using MapReduce algorithm in protecting the security and privacy of eLearning. …”
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A review of classification techniques for electromyography signals
Published 2023“…Machine Learning (ML) is an area of Artificial Intelligent (AI) with a concept that a computer program can learn and familiarize to new data without human intervention. …”
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