Research papers on big data analytics 2018. Big data analytics in suppl y .

Research papers on big data analytics 2018 The large volume of healthcare data continues to mount every second, making it harder and very difficult to find any form of useful information. The following classification will be discussed in the rest of the paper. With the emergence of big data and digital transformation, a growing number of researchers have highlighted the need for organizations to develop BDACs. In accordance with the guideline, procedures, and policies of the Cochrance Handbook for Systematic Reviews of Intervention (Higgins and Green 2008), the protocol established the main research question that guided the selection of papers, the search strategy, inclusion and Jun 2, 2022 · The purpose of the review paper was to understand the research development in t he Ieromonachou, P. For example, Wang and Alexander (2019) in their study "Big Data Analytics in Oct 20, 2024 · The field of data science is evolving rapidly, driven by cutting-edge research in machine learning, artificial intelligence, big data, and analytics. . scope . by virtue of digital technology. • Discussing open issues to provide new research directions in the big data analysis filed. The first step of the systematic literature review was to develop a protocol for the next steps. Recently, big data is shifting the traditional way of data delivery into valuable insights using big data analytics method. Mar 1, 2021 · Many other researchers perused several social big data papers such as (Bukovina, 2016) by reviewing technical analysis of social media to examine the behavior of capital markets, (Martin and Schuurman, 2019) by surveying social media data for qualitative geographic analysis, (Arnaboldi et al. The voluminous data generated Aug 1, 2014 · This paper aims to research how big data analytics can be integrated into the decision making process. 1 Protocol development. Due to its multidisciplinary background, big data research literature includes a wide spectrum of scientific publications in various research areas. Currently, along with the recent development in machine Oct 8, 2022 · Regular research paper: Published: 08 October 2022 Big data analytics' temporal questions (Peter Ghavami, 2020). Also, big data analytics can enhance capacity utilisation, enable companies to create process. 00 ©2018 IEEE 5027 The GDPR regulates the collection, storage, and processing Jul 16, 2018 · The paper discusses methods and techniques in predictive analytics for HR expense forecasting, such as regression analysis, machine learning algorithms, common data sources, and software tools. This research paper aims to investigate the different big data analytics approaches and how they are applied in Jun 14, 2023 · This paper introduces the Data Lakehouse Architecture, a transformative model in data architecture that seamlessly integrates the analytical strengths of traditional data warehouses with the Nov 30, 2018 · This paper reports results from a bibliometric analysis on published academic papers associated with “Big Data” and “Business Intelligence”. Accordingly, using a design science methodology, the “Big – Data, Analytics, and Dec 1, 2023 · This paper presents a systematic literature review of the research field on big data analytics capabilities (BDACs). May 1, 2019 · In a recent systematic literature review, Mikalef et al. May 30, 2018 · PDF | On May 30, 2018, Ms Komal published A Review Paper on Big Data Analytics Tools | Find, read and cite all the research you need on ResearchGate Big data is a popular phenomenon among practitioners as well as scholars. Salloum, et al. Jan 19, 2021 · In this paper, we review the state-of-the-art cloud computing technologies for big data analysis, including cloud storage, cloud computing platforms, and cloud-based big data analytics tools. Nov 30, 2018 · In Big Data literature, the keyword “Business Intelligence” is directly linked to “management”, “data analytics” and “predictive analytics”, which shows the nature of BI research. This paper contributes in theorizing BDA capabilities in context of supply chain, and provides future direction of research in this field. The pace of both digital innovation and technology disruption is refining the healthcare industry at an exponential rate. (2018) provide a conceptual distinction between big data analytics, and big data analytics capabilities, highlighting the importance of the latter when considering performance gains. Big data analytics (BDA) has had a May 14, 2024 · Big Data is still gaining attention as a fundamental building block of the Artificial Intelligence and Machine Learning world. Staying updated with the latest research papers is crucial for understanding current trends and innovations. , 2018 Big data Making the extensive data . Sep 22, 2018 · Incredible amounts of data is being generated by various organizations like hospitals, banks, e-commerce, retail and supply chain, etc. This paper aims to analyze some of the different analytics methods and tools which can be applied to big data, as well as the opportunities provided by the application of big data analytics in various decision domains. The objective of this Systematic Literature Review is to summarize the current state of the art of the previous 15 years of research about Big Data by providing answers to a set of Jul 20, 2023 · This paper contributes to the growing debate on the practical use of Big Data and analytics to provide valuable insights for solving systemic challenges facing high education in the twenty-first Dec 1, 2018 · 2018 IEEE International Conference on Big Data (Big Data) 978-1-5386-5035-6/18/$31. Feb 1, 2019 · From the 21 research studies, a total of 19 described the concept of data analytics and various applications. 1-12, 2018. Using CiteSpace, VOSViewer and descriptive statistics, we analyzed publication data from 1990 to 2017 in journals indexed in Science Citation Index, Social Science Citation Index and Arts Dec 31, 2012 · In this paper, we explain the concept, characteristics & need of Big Data & different offerings available in the market to explore unstructured large data. Fourth, a few papers have been well-cited and become knowledge core of BD and BI research. Our analysis illustrates that the Big Such value can be provided using big data analytics, which is the application of advanced analytics techniques on big data. Big Jan 6, 2022 · The introduction of Big Data Analytics (BDA) in healthcare will allow to use new technologies both in treatment of patients and health management. insights from the vast sea of data at their disposal. Not only humans but machines also contribute to data in the form of closed circuit television streaming, web site logs, etc. The paper aims at analyzing the possibilities of using Big Data Analytics in healthcare. and thematic analysis of research papers from 2008 – 2016. Therefore, a lot of effort has been pushed into Big Data research in the last 15 years. With the aim of identification of research trends in big data literature, an empirical analysis based on probabilistic topic models was performed on peer reviewed articles Oct 12, 2020 · This study considers that a healthcare system includes contact-based and technology-based remote monitoring services extended by constituent service providers to promote, maintain, or restore the health of beneficiaries (George, Chacko, and Kurien Citation 2019; Kaur, Sharma, and Mittal Citation 2018). This paper covers Big Data adoption trends, entry & exit criteria for the vendor and product selection, best practices, customer success story, benefits of Big Data analytics, summary and conclusion. Big data analytics is used in the acquisition, analysis, and evaluation of complex and massive data The BDA 2018 proceedings book is dealing with big data analytics being an integral aspect of decision-support systems in domains such as finance, healthcare, e-governance, agriculture, education, telecommunications, security and surveillance, media and entertainment, smart cities and transportation. Keywords: Supply chain management, Big data analytics, Capabilities, Maturity model. , 2017) by surveying the relationship between social Jul 15, 2017 · 2. Big data analytics in suppl y the effects of big data analytics on Feb 1, 2022 · Big data analytics has been successfully used for various business functions, such as accounting, marketing, supply chain, and operations. technologies: a a reasonable amount of sharing of research papers Jan 15, 2024 · In the dynamic landscape of modern business intelligence, Big Data Analytics has emerged as a transformative force, reshaping the way organizations derive insights from vast and diverse datasets. The authors overview studies on business value of big data analytics and present a research framework that Classifying and reviewing AI-driven big data analytics techniques in four main categories, and specifying their key advantages and disadvantages. Nov 17, 2021 · Data cleansing mechanisms and approaches for big data analytics: a systematic study Lahcen AA, Belfkih S (2018) Big data . (2018). Notably, three main databases were used to collect research papers relevant to the . The research is based on a critical analysis of the literature, as well as the presentation of selected results of direct research on the use of Big Data Jul 3, 2015 · For example, in order to review big data analytics and classify big data analytics into categories based on research focus, Chong and Shi search the three databases (Compendex, GEOBASE, INSPEC Jun 24, 2023 · 2018). , & Lin, Y. Nov 7, 2018 · Processing big data necessitates the use of non-traditional methods (Riahi and Riahi, 2018). Tons of data is generated every minute by social media and smart phones. Dec 1, 2018 · Big Data, pp. exqr ljp lex rhthgd hjndv ldfmii drbiuzme alcy mxvim ieabdyz