big data 2021




A systematic literature review of supply chain decision making supported by the Internet of Things and Big Data Analytics.
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The willingness to invest in Internet of Things (IoT) and Big Data Analytics (BDA) seems not to depend on supply nor demand of technological innovations. The required sensing and communication technologies have already matured and became affordable for most Health informatics and biomedical computing have introduced the use of computer methods to analyze clinical information and provide tools to assist clinicians during the diagnosis and treatment of diverse clinical conditions. With the amount of information that can be obtained

Smart cities, big data : An overview
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More people now live in cities than elsewhere, as urban populations continue to grow rapidly. Around 500 urban agglomerations have populations exceeding one million, with the number of people living in cities likely to exceed five billion over the next two decades with With the fast pace in collating big data healthcare framework and accurate prediction in detection of lung cancer at early stages, machine learning gives the best of both worlds. In this paper, a streamlining of machine learning algorithms together with apache spark

The Adoption of Big Data Analytics Among Manufacturing Small and Medium Enterprises During Covid-19 Crisis in Malaysia
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ABSTRACT Global epidemic Coronavirus Disease (COVID-19) has a significant impact on the global economy. The Big Data Analytics (BDA), which helps businesses to obtain useful insights, is seen as a new strategic weapon in industry particularly during this

Predicting the performance of big data applications on the cloud
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Data science applications have become widespread as a means to extract knowledge from large datasets. Such applications are often characterized by highly heterogeneous and irregular data access patterns, thus often being referred to as big data applications. Such During the last decade, Big Data has emerged as a powerful alternative to address latent challenges in scalable data management. The ever-growing amount and rapid evolution of tools, techniques, and technologies associated to Big Data require a broad skill set and

MO110 ARE BIG DATA TECHNIQUES USEFUL IN SCREENING FOR PRIMARY HYPERALDOSTERONISM RESULTS OF A PILOT STUDY AND THEIR
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Abstract Background and Aims Primary aldosteronism is a rare cause of high blood pressure (BP). Guidelines recommend a screening in several situations, such as hypertension with hypokalemia, sleeping apnea or adrenal mass, by determining the baseline

Introduction to the minitrack on big data on healthcare application
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The recent confluence of new technologies and dataintensive research methodologies offers new research challenges for traditional research. Highperformance computing, client- cloud architecture, broadband networks, personal devices and sensors, multimedia, and

FNG-IE: an improved graph-based method for keyword extraction from scholarly big data .
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Keyword extraction is essential in determining influenced keywords from huge documents as the research repositories are becoming massive in volume day by day. The research community is drowning in data and starving for information. The keywords are the words that describe the

Big data analytics, online terms of service and privacy policies
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Ouch, that hurts! How did you get here, once again Two hours ago, when scrolling through Facebook on your phone, you saw that article about jogging. It is really good for you, it seems. You decided to buy running shoes online, but were interrupted by an email from your

International Journal of Data Science and Big Data Analytics
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This paper reviews the impact of data science and artificial intelligence (AI) on future datadriveninsurance markets. The impact of insurance automation (driven by so-called Black Swan1 events such as Covid-19) mirrors the impact of algorithmic trading that

A Novel Privacy-preserving User Authentication Protocol for Big Data Environment
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Many authentication protocols use private information as a factor to implement user authentication. The authentication server can obtain user private information. Therefore, there exists a risk of privacy leakage with the rapid development of data mining technology This book presents chapters that discuss contemporary issues related to the digital economy, mainly in relation to the challenges and opportunities by artificial intelligence and computational intelligence in big datadriven digital economies. The main theme of the book

Ethics and Governance of Big Data in Health Research and Digital Health Applications
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The health sector is undergoing a digital revolution. Digital technologies monitor and capture data about peoples health and physiology. The widespread availability of digital technologies and powerful analytical tools-such as artificial intelligence (AI) algorithms Lung Cancer is one of the deadly diseases in the world today. Lung Cancer is caused because of some genetic factors and/or environmental factors and/or todays modern lifestyle. Lung cancer has become the primary reason of death in developed countries. The

BIG DATA BIG ERRORS
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In March 20 Congress passed the CARES Act which automatically suspended all payment obligations and halted all interest accrual on loans held by the Department of Education. 1 The CARES Act further required that for the purpose of reporting information

Machine Learning Concepts for Correlated Big Data Privacy
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With data becoming a salient asset worldwide, dependence within data kept on growing, hence the real world datasets that one works upon in todays time are highly correlated. Since the past few years, researchers have given attention to this aspect of data privacy and

Application and Development of Big Data in Legal Case Investigation
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With the rapid development of information technology in recent years, many criminal cases tend to be intelligent and covert, and the traditional investigation mode has been difficult to meet the social management needs of the development of the times . With the continuous Jingluo app allows users to get the garbage classification method anytime and anywhere through a variety of ways, and put the garbage accurately. Todays big data technology can comprehensively analyze the garbage classification information collected in real time. The

Contact Tracing Tools and Social Media Platforms Analysis of Crossing Big Data Sources
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The COVID-19 pandemic changed the way we live, rising the need of control and safety, boosting contact-tracing technologies by government as well as private entities. Social Media platforms are, by definition, a source of information, publicly available, where people

Insights with Big Data Analysis for Commercial Buildings Flexibility in the Context of Smart Cities.
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The commercial buildings generate a significant volume of data that can be processed to assess the flexibility of the electricity consumption and their potential contribution to flatten the load curve or provide ancillary services. With the constant increase of the volatile output Big Data and Cloud Computing are two of the most important technologies of the day. Since data is being generated exponentially every day, Big Data has gained a lot of significance in any technology. The daily explosion of data means that its better to have big data includedBig data analytics is the complicated process of examining large and different types of data sets or big data to reveal information including hidden patterns, unknown correlations, market trends and customer preferences which will help organizations make informed

Civic and Citizenship Education: From Big Data to Transformative Education
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This chapter brings the results from the chapters in this book together to explore how civic and citizenship education can be or is relevant in a context beyond school. We have demonstrated that IEAs International Civic and Citizenship Education Study (ICCS) provides

Big Data in Public Administration
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Digital transformation affects all spheres of the modern economy. It also influenced the public administration system, where big data gained special importance. Modern technologies make it possible to collect huge amounts of information from various sources

A Dempster Shafer Big Data Readiness Assessment Model
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Datadriven Transformation is a process where an organization transforms its infrastructure, strategies, operational methods, technologies, or organizational culture to facilitate and encourage datadriven decision-making behaviors. Most importantly is the ability to handle

THE PUBLIC PERSPECTIVE IN REGULATING BIG DATA . BIG DATA AS A NEW COMMONS
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The paper aims at identifying the legal nature of big data and the different views concerning data ownership . In particular, in its first part, after having clarified that currently no specific law grants ownership to big data as such, the work points out that within the EU legalInteractivity is a defining characteristic of social media. Connections among users shape the network and have a direct impact on the political conversations that take place on digital platforms. In the hybrid media system, digital discussions can have an impact on both the

Online collaborative learning model design supported by big data technology
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Collaborative learning has been highly praised since its emergence because it can enhance learners social interaction and cognitive development. Through the integration with mobile Internet, online collaborative learning can play the characteristics of personalized learning

GLOBAL OCEAN MONITORING THROUGH REMOTE SENSING METHODS AND BIG DATA ANALYSIS
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In the recent growth of remote sensing techniques with big data analysis, the need for more reliable environmental monitoring of the oceans has been attributed to many research studies. Remote Sensing of Global Oceans (RSGO) offers a wide range of human

KNOWLEDGE AND SKILLS ESSENTIAL FOR AUDITORS IN THE AGE OF BIG DATA-THE EARLY EVIDENCE FROM A SURVEY.
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Abstract1 Constant technological breakthroughs change the way we do business. A wide variety of timely data can be used to help with reporting, auditing, and obtaining business insight. The accounting profession is transforming to take advantage of these advanced

REVIEW OF FSCM WITH BLOCKCHAIN AND BIG DATA INTEGRATION
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Distributed ledger technology is an immutable data storage and transparent system, which is a constituent component that empowers the FSCM (Food supply Chain Management). Due to the autonomous and immutable data feature, the scalability of blockchain technology is

Discussion of: Market Efficiency in the Age of Big Data
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Im going to talk a little about some of the challenges to an explanation of declining anomaly performance based solely on learning. This is more than a little unfair, as the authors are not arguing that learning explains all x-sectional anomalies However, I would think that theElectricity is being consume in every home at present time, we are using electricity for lots of purposes like watching television, charging cell phones, Electric bulb and many more things. Analyzing this electricity data will give us a better understanding of how consumer

Sentiment Analysis Through Application of Big Data in the Online Retail Industry
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The term big data is perceived as a source that not only provide several benefits to various organisational functions but also has the ability to influence overall organisational performance. However, limited studies are covering this evolving technological field with

University Library Service Based on Big Data
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The rapid development of big data technology has brought huge challenges to the service innovation of university libraries, but at the same time it has also brought strong technical support, which plays a huge role in improving the service quality of university libraries. The

A Hybrid Improved Zhou and Wornells Inspired Fully Homomorphic Encryption Scheme for Securing Big Data Computation in Cloud Environment
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The process of performing smart computations in the big data and cloud computing environment is considered to be highly essential in spite of its complexity and cost. The method of Fully Homomorphic encryption is considered to be the effective approach that