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147 results for “Big-Data”
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Literature ReviewOpen accessEvery word in the titleOverview and Future Opportunities of Sentiment Analysis Approaches for Big DataNurfadhlina Mohd Sharef, Harnani Mat Zin, Samaneh NadaliThe ability to exploit public sentiment in social media is increasingly considered as an important tool for market understanding, customer segmentation and stock price prediction for strategic marketing planning and manoeuvring. This evolution of technology adoption is energised by the healthy growth in big data framework, which caused applications based on Sentiment Analysis (SA) in big data to become common … …Journal of Computer Science, Vol. 12, Issue 3 · 26 Apr 2016 · 10,313 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleConfluences among Big Data, Finite Element Analysis and High Performance ComputingLidong Wang, Guanghui Wang, Cheryl Ann AlexanderBig Data analyzes correlations from huge raw data and predicts outcomes. It has great impacts on scientific discoveries and value creation. High Performance Computing (HPC) uses parallel processing and advanced programs or software packages to complete complicated jobs quickly. Finite Element Method (FEM) is very powerful in scientific computation and engineering analysis. It has created huge values in almost every … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 4 · 15 Jul 2015 · 8,066 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBig Data in Design and Manufacturing EngineeringLidong Wang, Cheryl Ann AlexanderBig Data helps facilitate information visibility and process automation in design and manufacturing engineering. It also helps analyze trends through analytics and predict inventory, manufacturing output and equipment lifespan and cycles, etc. This paper introduces Big Data, its characteristics and a number of issues of Big Data in design and manufacturing engineering. These issues include design and manufacturing data, Big … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 2 · 25 Jun 2015 · 8,728 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleBig Data Driven Supply Chain Management and Business AdministrationLidong Wang, Cheryl Ann AlexanderBig Data helps improve visibility throughout the supply chain, provides an integrated view of operational performance and customer interaction and gives businesses real-time insights that help make critical decisions. Big Data also has a potential to yield new management principles. This paper introduces the Big Data concept, its characteristics and some major issues of Big Data in supply chain management … …American Journal of Economics and Business Administration, Vol. 7, Issue 2 · 20 Jun 2015 · 8,662 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleBig Data in Medical Applications and Health CareLidong Wang, Cheryl Ann AlexanderBig Data can unify all patient related data to get a 360-degree view of the patient to analyze and predict outcomes. It can improve clinical practices, new drug development and health care financing process. It offers a lot of benefits such as early disease detection, fraud detection and better healthcare quality and efficiency. This paper introduces the Big Data concept … …Current Research in Medicine, Vol. 6, Issue 1 · 15 May 2015 · 14,953 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleData Warehouse Design to Support Social Media Analysis in a Big Data EnvironmentCarlos Roberto Valêncio, Luis Marcello Moraes Silva, William Tenório et al.The volume of generated and stored data from social media has increased in the last decade. Therefore, analyzing and understanding this kind of data can offer relevant information in different contexts and can assist researchers and companies in the decision-making process. However, the data are scattered in a large volume, come from different sources, with different formats and are rapidly … …Journal of Computer Science, Vol. 16, Issue 2 · 20 Feb 2020 · 8,223 accessesView PDFCite
Research NotesOpen accessEvery word in the titleReal Time Density-Based Clustering (RTDBC) Algorithm for Big DataDr. B. Ravi PrasadDensity Based Spatial Clustering of Applications with Noise (DBSCAN), a well-known Density-Based Clustering Algorithm is a advanced data clustering method with various applications in numerous fields like Satellites images, X-ray crystallography, Anomaly Detection in Temperature Data. But its run time R(n2) complexity draws a major challenge. In this research paper, we propose a new unique algorithm called Real Time Density … …Journal of Computer Science, Vol. 13, Issue 10 · 15 Aug 2017 · 7,298 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Fast Access Big Data Approach for Configurable and Scalable Object Storage Enabling Mixed Fault-ToleranceCarlos Roberto Valêncio, André Francisco Morielo Caetano, Angelo Cesar Colombini et al.The progressive growth in the volume of digital data has become a technological challenge of great interest in the field of computer science. That comes because, with the spread of personal computers and networks worldwide, content generation is taking larger proportions and very different formats from what had been usual until then. To analyze and extract relevant knowledge from these … …Journal of Computer Science, Vol. 13, Issue 6 · 1 Jul 2017 · 7,888 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Novel Crow Search Optimization Based Feature Selection With Optimal DNN for Big Data ClassificationC. Mahesh, J. Ruby Elizabeth, S. Gnana Selvan et al.Big data analytics has become popular due to its applicability in various real-time applications. To attain better performance, big data can be analyzed using the machine learning and deep learning models at recent times, various domains have started to deal with big dataset which involves numerous sets of features. Repetitive and unwanted features, which reduces the classification performance can be … …Journal of Computer Science, Vol. 22, Issue 6 · 30 Jun 2026 · 1,244 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Novel Approach for Discovering the Patterns by using PDBD Model in Big DataKamatchi Sundravadivelu, Muthuraman ThangarajBig data is a term that refers to information collected from a wide range of sources, including transaction processing systems, sensors, digital photographs, internet click stream logs, movies, and social media. The goal of text mining is to reveal new patterns and relationships that could lead to the discovery of previously unknown sources. It provides ample scope for interpretation of … …Journal of Computer Science, Vol. 18, Issue 5 · 21 May 2022 · 6,045 accessesView PDFCite