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11 results for “Big Data Integration”
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Research ArticleOpen accessPhrase in the titleTowards a Generic Multimodal Architecture for Batch and Streaming Big Data IntegrationSiham Yousfi, Maryem Rhanoui, Dalila ChiadmiBig Data are rapidly produced from various heterogeneous data sources. They are of different types (text, image, video or audio) and have different levels of reliability and completeness. One of the most interesting architectures that deal with the large amount of emerging data at high velocity is called the lambda architecture. In fact, it combines two different processing layers namely … …Journal of Computer Science, Vol. 15, Issue 1 · 31 Jan 2019 · 7,646 accessesView PDFCite
Review ArticleOpen accessIn the keywordsA Systematic Literature Review on Data Integration: Issues, Data Types, ArchitectureMimi Haryani Tasani, Mohd Kamir YusofData integration is an important process that enables organizations to merge data from various sources, creating a consolidated viewpoint that supports better decision-making, increased effectiveness, and deeper insights. Although data integration has advantages, it also comes with difficulties like maintaining data quality, adhering to compliance regulations, resolving technical issues, and merging with older systems. Effective management of data quality, robust … …Journal of Computer Science, Vol. 22, Issue 2 · 18 Feb 2026 · 1,807 accessesView PDFCite
Research ArticleOpen accessIn the abstractMicro-Retargeted Advertising and Online Shoppers' Motivation in NigeriaJoseph Wilson, Yusuf Mu'azu, Fredrick WilsonOnline shopping is increasingly gaining popularity worldwide, as the experience is perceived not only to replicate but sometimes exceed that of traditional retail. The rapid transformation of the e-commerce sector compels online stores to adopt innovative strategies to attract and retain customers, enhance service delivery, increase product visibility, and remain competitive. The integration of big data and artificial intelligence has … …Journal of Social Sciences, Vol. 21, Issue 1 · 15 Aug 2025 · 5,437 accessesView PDFCite
Review ArticleOpen accessIn the abstractBig Data Analytics (BDA) in the Research Landscape: Using Python and VOSviewer for Advanced Bibliometric AnalysisSamsul Arifin, Muhammad Faisal, Monica Mayeni Manurung et al.Big data analytics has become a key element in research and development in various fields. With the ability to analyze large and complex amounts of data, this technology allows researchers to identify patterns, trends, and insights that were not seen before. This article explores how big data analytics is applied in various disciplines, including computer science, engineering, and mathematics. We … …Journal of Computer Science, Vol. 21, Issue 2 · 16 Jan 2025 · 6,585 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Data-Sharing Model to Secure Borders Using an Artificial-Intelligence-Based Risk Engine and Big-Data ConceptsMohammad S. Al Rousan, Benedetto IntrigilaThe primary aim of this research is to develop a framework for data management and sharing that will enable countries to share complex data about known and unknown high-risk passengers to streamline border-control security processes through the use of big data analytics and Artificial Intelligence (AI). A total of 15 semi-structured interviews were used to gather qualitative data. A thematic … …American Journal of Applied Sciences, Vol. 19, Issue 1 · 2 May 2022 · 6,937 accessesView PDFCite
Research ArticleOpen accessIn the abstractBig Data Interoperability for E-GovernanceEl Benany Med Mahmoud, El Beqqali Omar, Aris M. OukselThe notion of governance is innate to any society in the word. The use of big-data allow governance as a competitive advantage to attract resources, with the emergence of the social web and exponential data generated accordingly. Such social web and exponential data can be analyzed to give the enlightened human beings about the good governance and maintain an intelligent … …Journal of Computer Science, Vol. 15, Issue 10 · 7 Oct 2019 · 8,099 accessesView PDFCite
Research ArticleOpen accessIn the abstractProcessing Large Volume of Biometric Data in the Hadoop Single Cluster Node EnvironmentJayakumar Vaithiyashankar, Shohel Sayeed, Anang Muhammad AminIn big data evolution, the analysis of large scale data and scrutinizing the required vital information becomes very demanding task. The emerging cloud platform promises and gives hope in handling the enormous volume of data. Hence, a new kind of methodology is required to tap the full potential of leveraging the big data analytics over the biometric data. In this … …American Journal of Applied Sciences, Vol. 14, Issue 12 · 27 Oct 2017 · 8,521 accessesView PDFCite
EditorialOpen accessIn the abstractBig Data and Parkinson’s Disease - from Understanding of Disease to Personalised MedicineYen F. Tai, Nicola PaveseThe advancement of information technology in recent years has generated a huge amount of datasets in all areas of scientific research. This has led to new opportunities to harness the 'Big Data' to improve our understanding of diseases - from investigating disease mechanisms to monitoring treatment responses. The Big Data approach is a data-driven and often hypothesis-free, way of studying … …Neuroscience International, Vol. 7, Issue 1 · 27 Jul 2016 · 7,755 accessesView PDFCite
Research ArticleOpen accessIn the abstractUnidentified Corpses: Development of Management Model in Charity Organizations of Chinese-Thai PeopleOrasa Pholpanga, Souneth Phothisane, Kosit PaengsoiProblem statement: Management model on indentified corpses in charity organizations of Chinese-Thai people was consisted of committee members from various agencies to manage in overall and to solve all occurred problems. Approach: This study proposed the study on model of cremation management on unidentified corpses in charity organizations of Chinese-Thai people. The study was a research and development by using … …Journal of Social Sciences, Vol. 7, Issue 4 · 19 Sep 2011 · 7,245 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordIntegration of Local Large Language Models, Retrieval-Augmented Generation, and Adaptive LearningAnass Belcaid, Kamal ReklaouiIn recent years, many schools and teachers have started using closed Large Language Models (LLMs) to help with learning. These tools can be very helpful for tutoring and personal learning, but they also bring serious problems. One big issue is that they use cloud systems, which means student data is sent to outside servers. This can put privacy at risk … …Journal of Computer Science, Vol. 22, Issue 4 · 26 Mar 2026 · 3,923 accessesView PDFCite