😎 Research paper topics on big data. Survey of Recent Research Progress
(PDF) RESEARCH IN BIG DATA -AN OVERVIEW
Big Data Research Paper
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Big data stream analysis: a systematic literature review
Recently, big data streams have become ubiquitous due to the fact that a number of applications generate a huge amount of data at a great velocity. This made it difficult for existing data mining tools, technologies, methods, and techniques to be applied directly on big data streams due to the inherent dynamic characteristics of big data. In this paper, a systematic review of big data streams ...
Uncertainty in big data analytics: survey, opportunities, and
Big data analytics has gained wide attention from both academia and industry as the demand for understanding trends in massive datasets increases. Recent developments in sensor networks, cyber-physical systems, and the ubiquity of the Internet of Things (IoT) have increased the collection of data (including health care, social media, smart cities, agriculture, finance, education, and more) to ...
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The Journal of Big Data publishes open-access original research on data science and data analytics. Deep learning algorithms and all applications of big data are welcomed. Survey papers and case studies are also considered. The journal examines the challenges facing big data today and going forward including, but not limited to: data capture ...
PDF Big Data and Business Analytics: Trends, Platforms, Success Factors and
Big Data Cogn. Comput. 2019, 3, 32 4 of 30 and data sources for big data and business analytics. Section6summarizes the study and explores open research directions. Figure1outlines the structure of the paper. Big Data Cogn. Comput. 2019, 3, 32 5 of 32 information processing for enhanced insight and decision-making. There are various areas that big
PDF Big Data Analytics: A Literature Review Perspective
Big Data Analytics: A Literature Review Perspective. Sarah Al-Shiakhli. Information Security, master's level (120 credits) 2019. Luleå University of Technology Department of Computer Science, Electrical and Space Engineering. Abstract. Big data is currently a buzzword in both academia and industry, with the term being used to describe a broad ...
The Challenges of Big Data for Research
Big data trends in health research challenge the oversight mechanism of the Research Ethics Committees (RECs). The tradi-tional standards of research quality and the mandate of RECs illuminate deficits in facing the computational complexity, methodological novelty, and limited auditability of these approaches.
Effects of big data analytics on university libraries: A systematic
Shakeel Ahmad Khan is an Associate Professor in the Department of Information Management at the Islamia University of Bahawalpur. He earned his doctorate from the Islamia University of Bahawalpur, Pakistan. He is Gold Medalist in MLISc. He served at GC University, Lahore, University of Sargodha, Pakistan, as Assistant Professor.
Big Data Research
Read the latest articles of Big Data Research at ScienceDirect.com, Elsevier's leading platform of peer-reviewed scholarly literature. Skip to main content. Journals & Books; Help. Search. ... 2019 — Volumes 15-18. 2018 — Volumes 11-14. 2017 — Volumes 7-10. 2016 — Volumes 3-6. 2015 — Volume 2. 2014 — Volume 1. ISSN: 2214-5796.
Big Data Research
About the journal. The journal aims to promote and communicate advances in big data research by providing a fast and high quality forum for researchers, practitioners and policy makers from the very many different communities working on, and with, this topic. The journal will accept papers on foundational aspects in …. View full aims & scope.
(PDF) Big Data and Big Data Analytics: Concepts, Types and Technologies
Big Data Anlytics refers to the process of collecting, organizing, analyzing large data sets to discover dif ferent. patterns and other useful information. Big data analytics is a. set of ...
Big data analytics and firm performance: Findings from a mixed-method
Several research papers demonstrate that big data analytics, when applied to problems of specific domains such as healthcare, service provision, supply chain management, and marketing, can offer substantial value (Mikalef et al., 2019; Raghupathi & Raghupathi, 2014; Waller & Fawcett, 2013; Wang et al., 2016).
PDF Big Data in Finance
completed papers using big data and related methodologies. This special issue of the Review of Financial Studies (RFS) on big data in finance includes four papers from the first NBER-RFS Winter Conference on Big Data held on March 8, 2019, and two other papers that are closely related to this theme. The RFS has the tradition of encouraging ...
Big data analytics in healthcare: a systematic literature review
Prior research observed several issues related to big data accumulated in healthcare, such as data quality (Sabharwal, Gupta, and Thirunavukkarasu Citation 2016) and data quantity (Gopal et al. Citation 2019). However, there is a lack of research into the types of problems that may occur during data accumulation processes in healthcare and how ...
Privacy Prevention of Big Data Applications: A Systematic Literature
This paper focuses on privacy and security concerns in Big Data. This paper also covers the encryption techniques by taking existing methods such as differential privacy, k-anonymity, T-closeness, and L-diversity.Several privacy-preserving techniques have been created to safeguard privacy at various phases of a large data life cycle.
(PDF) Big data optimisation and management in supply chain management
The increasing interest from technology enthusiasts and organisational practitioners in big data applications in the supply chain has encouraged us to review recent research development.
(PDF) Big Data Analytics: A Literature Review Paper
Big Data Analytic s: A Literature Review Pape r. Nada Elgendy and Ahmed Elragal. Department of Busi ness Informatics & Operations, German University in Cairo (GUC), Cairo, Egypt. {nada.el-gendy ...
Articles
The burden of gastric cancer (GC) should be further clarified worldwide, and helped us to understand the current situation of GC. Zenghong Wu, Kun Zhang, Weijun Wang, Mengke Fan and Rong Lin. Journal of Big Data 2024 11 :51. Research Published on: 13 April 2024.
Big Data in Finance
Working Paper 28615. DOI 10.3386/w28615. Issue Date March 2021. Big data is revolutionizing the finance industry and has the potential to significantly shape future research in finance. This special issue contains articles following the 2019 NBER/ RFS conference on big data. In this Introduction to the special issue, we define the "Big Data ...
Big Data Hadoop Tools and Technologies: A Review
Hadoop is a framework which is designed to process the large data sets and provides high performance, fault tolerance from a single server to thousands of machines. In this paper we describe a detailed review of big data and Hadoop along with a comparison of various tools/technologies of big data.
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Save & Close Corporate Research & Development Report 2022 Deloitte's ongoing focus on research and development (R&D) is what has inspired us to carry out this survey - our first research project of this kind since the outbreak of COVID-19 in 2020.
(PDF) Big Data: Big Data Analysis, Issues and Challenges ...
3. Issues and Challenges. Challenges in big data can be broadly alienated in to three types the first type is data challenges, the. second type is data process challenges, and t he third type are ...
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Reports and research papers. Research and working papers with deep dives and findings. Policy papers and briefs. Policy recommendations and case studies. ... Interact with policy simulators and indexes for data analysis. Data explorer. Find, understand and download the data you need. Featured data. Climate action dashboard.
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The Neural Information Processing Systems Foundation is a non-profit corporation whose purpose is to foster the exchange of research advances in Artificial Intelligence and Machine Learning, principally by hosting an annual interdisciplinary academic conference with the highest ethical standards for a diverse and inclusive community.
(PDF) Big Data Analytics in Healthcare Systems
Big Data analytics can improve patient outcomes, advance and personalize care, improve provider relation ships with. patients, and reduce medical sp ending. This paper introduces he althcare data ...
Pacific Northwest Research Station
The Pacific Northwest (PNW) Research Station is a leader in the scientific study of natural resources. We generate and communicate impartial knowledge to help people understand and make informed choices about natural resource management and sustainability.
Big data analytics: a survey
Expected trend of the marketing of big data between 2012 and 2018. Note that yellow, red, and blue of different colored box represent the order of appearance of reference in this paper for particular year. Full size image. The report of IDC [ 9] indicates that the marketing of big data is about $16.1 billion in 2014.
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Re-evaluating data management in the generative AI age. 4 min read - A good place to start is refreshing the way organizations govern data, particularly as it pertains to its usage in generative AI solutions. Security June 25, 2024 Top 7 risks to your identity security posture ...
The use of Big Data Analytics in healthcare
The introduction of Big Data Analytics (BDA) in healthcare will allow to use new technologies both in treatment of patients and health management. The paper aims at analyzing the possibilities of using Big Data Analytics in healthcare. 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 ...
(PDF) An Overview of Big Data Analytics in Banking: Approaches
The goal of this paper is to give an. overview of different approaches and challenges that exists in Big Data in banking sector. The. work presented here will fulfill the gap of research papers in ...
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Recently, big data streams have become ubiquitous due to the fact that a number of applications generate a huge amount of data at a great velocity. This made it difficult for existing data mining tools, technologies, methods, and techniques to be applied directly on big data streams due to the inherent dynamic characteristics of big data. In this paper, a systematic review of big data streams ...
Big data analytics has gained wide attention from both academia and industry as the demand for understanding trends in massive datasets increases. Recent developments in sensor networks, cyber-physical systems, and the ubiquity of the Internet of Things (IoT) have increased the collection of data (including health care, social media, smart cities, agriculture, finance, education, and more) to ...
The Journal of Big Data publishes open-access original research on data science and data analytics. Deep learning algorithms and all applications of big data are welcomed. Survey papers and case studies are also considered. The journal examines the challenges facing big data today and going forward including, but not limited to: data capture ...
Big Data Cogn. Comput. 2019, 3, 32 4 of 30 and data sources for big data and business analytics. Section6summarizes the study and explores open research directions. Figure1outlines the structure of the paper. Big Data Cogn. Comput. 2019, 3, 32 5 of 32 information processing for enhanced insight and decision-making. There are various areas that big
Big Data Analytics: A Literature Review Perspective. Sarah Al-Shiakhli. Information Security, master's level (120 credits) 2019. Luleå University of Technology Department of Computer Science, Electrical and Space Engineering. Abstract. Big data is currently a buzzword in both academia and industry, with the term being used to describe a broad ...
Big data trends in health research challenge the oversight mechanism of the Research Ethics Committees (RECs). The tradi-tional standards of research quality and the mandate of RECs illuminate deficits in facing the computational complexity, methodological novelty, and limited auditability of these approaches.
Shakeel Ahmad Khan is an Associate Professor in the Department of Information Management at the Islamia University of Bahawalpur. He earned his doctorate from the Islamia University of Bahawalpur, Pakistan. He is Gold Medalist in MLISc. He served at GC University, Lahore, University of Sargodha, Pakistan, as Assistant Professor.
Read the latest articles of Big Data Research at ScienceDirect.com, Elsevier's leading platform of peer-reviewed scholarly literature. Skip to main content. Journals & Books; Help. Search. ... 2019 — Volumes 15-18. 2018 — Volumes 11-14. 2017 — Volumes 7-10. 2016 — Volumes 3-6. 2015 — Volume 2. 2014 — Volume 1. ISSN: 2214-5796.
About the journal. The journal aims to promote and communicate advances in big data research by providing a fast and high quality forum for researchers, practitioners and policy makers from the very many different communities working on, and with, this topic. The journal will accept papers on foundational aspects in …. View full aims & scope.
Big Data Anlytics refers to the process of collecting, organizing, analyzing large data sets to discover dif ferent. patterns and other useful information. Big data analytics is a. set of ...
Several research papers demonstrate that big data analytics, when applied to problems of specific domains such as healthcare, service provision, supply chain management, and marketing, can offer substantial value (Mikalef et al., 2019; Raghupathi & Raghupathi, 2014; Waller & Fawcett, 2013; Wang et al., 2016).
completed papers using big data and related methodologies. This special issue of the Review of Financial Studies (RFS) on big data in finance includes four papers from the first NBER-RFS Winter Conference on Big Data held on March 8, 2019, and two other papers that are closely related to this theme. The RFS has the tradition of encouraging ...
Prior research observed several issues related to big data accumulated in healthcare, such as data quality (Sabharwal, Gupta, and Thirunavukkarasu Citation 2016) and data quantity (Gopal et al. Citation 2019). However, there is a lack of research into the types of problems that may occur during data accumulation processes in healthcare and how ...
This paper focuses on privacy and security concerns in Big Data. This paper also covers the encryption techniques by taking existing methods such as differential privacy, k-anonymity, T-closeness, and L-diversity.Several privacy-preserving techniques have been created to safeguard privacy at various phases of a large data life cycle.
The increasing interest from technology enthusiasts and organisational practitioners in big data applications in the supply chain has encouraged us to review recent research development.
Big Data Analytic s: A Literature Review Pape r. Nada Elgendy and Ahmed Elragal. Department of Busi ness Informatics & Operations, German University in Cairo (GUC), Cairo, Egypt. {nada.el-gendy ...
The burden of gastric cancer (GC) should be further clarified worldwide, and helped us to understand the current situation of GC. Zenghong Wu, Kun Zhang, Weijun Wang, Mengke Fan and Rong Lin. Journal of Big Data 2024 11 :51. Research Published on: 13 April 2024.
Working Paper 28615. DOI 10.3386/w28615. Issue Date March 2021. Big data is revolutionizing the finance industry and has the potential to significantly shape future research in finance. This special issue contains articles following the 2019 NBER/ RFS conference on big data. In this Introduction to the special issue, we define the "Big Data ...
Hadoop is a framework which is designed to process the large data sets and provides high performance, fault tolerance from a single server to thousands of machines. In this paper we describe a detailed review of big data and Hadoop along with a comparison of various tools/technologies of big data.
Save & Close Corporate Research & Development Report 2022 Deloitte's ongoing focus on research and development (R&D) is what has inspired us to carry out this survey - our first research project of this kind since the outbreak of COVID-19 in 2020.
3. Issues and Challenges. Challenges in big data can be broadly alienated in to three types the first type is data challenges, the. second type is data process challenges, and t he third type are ...
Reports and research papers. Research and working papers with deep dives and findings. Policy papers and briefs. Policy recommendations and case studies. ... Interact with policy simulators and indexes for data analysis. Data explorer. Find, understand and download the data you need. Featured data. Climate action dashboard.
301 Moved Permanently. nginx
The Neural Information Processing Systems Foundation is a non-profit corporation whose purpose is to foster the exchange of research advances in Artificial Intelligence and Machine Learning, principally by hosting an annual interdisciplinary academic conference with the highest ethical standards for a diverse and inclusive community.
Big Data analytics can improve patient outcomes, advance and personalize care, improve provider relation ships with. patients, and reduce medical sp ending. This paper introduces he althcare data ...
The Pacific Northwest (PNW) Research Station is a leader in the scientific study of natural resources. We generate and communicate impartial knowledge to help people understand and make informed choices about natural resource management and sustainability.
Expected trend of the marketing of big data between 2012 and 2018. Note that yellow, red, and blue of different colored box represent the order of appearance of reference in this paper for particular year. Full size image. The report of IDC [ 9] indicates that the marketing of big data is about $16.1 billion in 2014.
Re-evaluating data management in the generative AI age. 4 min read - A good place to start is refreshing the way organizations govern data, particularly as it pertains to its usage in generative AI solutions. Security June 25, 2024 Top 7 risks to your identity security posture ...
The introduction of Big Data Analytics (BDA) in healthcare will allow to use new technologies both in treatment of patients and health management. The paper aims at analyzing the possibilities of using Big Data Analytics in healthcare. 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 ...
The goal of this paper is to give an. overview of different approaches and challenges that exists in Big Data in banking sector. The. work presented here will fulfill the gap of research papers in ...