BIG DATA IEEE PAPER 2022
Big Data is a collection of data that is huge in volume, yet growing exponentially with time. It is a data with so large size and complexity that none of traditional data management tools can store it or process it efficiently. Big data is also a data but with huge size. Big data is the set of technologies created to store, analyse and manage this bulk data, a macro-tool created to identify patterns in the chaos of this explosion in information in order to design smart solutions. Today it is used in areas as diverse as medicine, agriculture, gambling and environmental protection.
Spatial multivariate trees for big data Bayesian regression
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In addition to simulated data examples, we illustrate SpamTrees using a large climate data set which combines satellite data with land-based station data . Software and source code are
Insights of Big Data Analytics in Education-Challenges Opportunities: A Review Paper
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or studying data . The goal of this study is to examine the challenges of implementing big data and highlights new insights and guidelines for the successful use of big data in education.Abstract: Big data is a collection of large volume of data and extract similar data points from Therefore, the clustering is the significant data mining technique used for big data analysis.
Leveraging Data Analytics as a key sustainability enabler
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Analyses of big data are clearly essential for highlighting declines in Earth s environment that big data coalesce with ongoing efforts to achieve sustainability Automating data language big data big data intelligent algorithms, network data and network science, big data and deep learning, big data privacy and security, big data clustering retrieval, and big data
Big Data Analytics Using Swarm-Based Long Short-Term Memory for Temperature Forecasting
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data . An optimized machine learning approach is proposed in this paper to forecast the temperature by using big data . On the basis of the forecasted results, the lagged data with lesser
ROLE OF BIG DATA ANALYTICS IN INCREASING BRAND EQUITY WITHIN PHARMACEUTICAL INDUSTRY
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definition of big data . In general, when we talk about big data we are talking about data of aimed at examining the influence of big data analytics on brand equity within Jordanian
An intelligent method for reducing the overhead of analysing big data flows in Openflow switch
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and process Big Data . SDN demonstrates that it can also benefit from big data such as traffic system performance for Hadoop-based Big Data applications by fully taking advantage of
Applying Apache Spark on Streaming Big Data for Health Status Prediction
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This study aims to propose an inteligent big data architecture for healthcare applications data in real time. It also demonstrates the potential of using the proposed system in big data this paper can be employed to improve big data security. big data security work. The third segment covers the fundamentals of IoT, big data healthcare big data analytics, and big data
How can the case report survive in a world of big data
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Orthopedic research got its share of big data of today with an ever-growing digitized data data in benefit of our patients and research.[ 2] Making clinical decisions in the light of
Analysis of Big Data in Social Media Marketings Application
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In this regard, we firstly conduct researches on social media marketing and big data to in the era of big data we identify the social media marketing changes caused by data ; finally, we
Subdata selection for big data regression: an improved approach
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Extreme values: data points at the corners of the data domain Combinatorial orthogonality: data points are as dissimilar as possible Extreme values: data points at the corners of the
Big Data Analytics of the Representation of Physical Education in Social Media
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We used big data analytics to access the data of the representation and to data were collected by extracting social media posts from January to December 2020. This involved big data
Journal of Big Data Research
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Currently, Big Data evangelists are singing the hymns of Big Data claiming that Big Data will help society make better decisions, conserve precious resources, trace and cure a host of Big Data and Artificial Intelligence are two technologies that are about Big Data Intelligence. AI has become ubiquitous in many industries where intelligent programs relying on big data
THE IMPLICATIONS OF BIG DATA ON SUBJECTIVITY: A CASE STUDY OF CAMBRIDGE ANALYTICA
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it is argued that big data is the of data politics and how it creates new modes of subjectivities, mobile health applications which identify the healthy and sick individuals through big data
Legal Dilemma and Way Out in the Environment of Big Data Discriminatory Pricing
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big data behaviors, use technical means to monitor and warn the platforms big data behaviors, and use big data when necessary, and use big data technology to sort out Merchant s
Application of OBE Concept in Financial Management in the Era of Big Data
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Abstract: In the environment of big data we make full use of the concept of OBE and and application ability in financial management, data analysis and application, investment and
Caring for ( Big ) Data : An Introduction to Research Methodologies and Ethical Challenges in Digital Migration Studies
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Second, we turn our attention to the issue of big data and how to care for those data in ethically viable ways. Here we discuss the remaining question concerning how we can preserve
Some natural hypomethylating agents in food, water and environment are against distribution and risks of COVID-19 pandemic: Results of a big data research
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collect the big data of COVID-19 and develop a lifestyle dataset. The collected big data included The method employed in this research, which was based on big data and crowdsourced
A Study on the Design of Big Data Governance Framework in Higher Education and Its Application in Student Management
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of big data in university education, this paper has designed a reference framework for big data data governance in student management more comprehensively and objectively.
A Scalable Big Data Framework for Real-Time Traffic Monitoring System
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In this context we use big data solutions because it is an integrated production platform and includes all Apache Hadoop ecosystem (MapReduce, Hive, Pig, Impala, Mahout, HBase,
HARNESSING DATA TO MAKE BETTER-INFORMED DECISIONS
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There are many situations where large volumes of data are collected over time, and processes can be greatly improved by gleaning insights from that data . For example, hospitals and 4.0-related technologies such as big data machine learning, the International Conference on Big Data Internet of Things ( These are data science and big data Internet of things, and
The Adoption of Big Data in Selected Information Institutions in Bangladesh: a study
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Big Data : Big data is a term that explains the large volume of data both structured and of Bangladesh either do not adopt big data or not prepared to adopt big data at present.
Migration Multiple Big Data Knowledge Practices and the Governability of Migration
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The compact s first objective is to collect and utilize accurate and disaggregated data as a of big data for the governance of international migration. What is so fascinating about big data
On-Board-Unit Big Data Analytics: from Data Architecture to Traffic Forecasting
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of big data of big data tools now mature in the field of ITS. In the second part, we strive to identify strategic areas in freight traffic. The density-based techniques applied to the OBU data
A Unified Vendor-Agnostic Solution for Big Data Stream Processing in a Multi-Cloud Environment
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and unstructured data emitted at big data for a systematic approach to stream processing. The novel contributions of this research are: 1) MC-BDP, a reference architecture for big data
Discussion on the Construction and Application of Performance Appraisal in Human Resource Management under the Background of Big Data
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big data background, it is very important to build the performance appraisal of human resource management. Based on big data uses the data mining technology in big data technology
Big Data Flow Errors Correction Model Based on Q-Learning
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of big data of different types: structured data semi-structured data and unstructured data . , in real-time, errors in Big Data flows based on Q-learning. The idea is to deal with structured
Integration Study on Brainstorming and Extenics for Intelligent Innovation in the Big Data Environment
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The integration of Extenics with brainstorming method provides a systematic new direction for improving brainstorming method in big data environment. The case study initially verifies
An Effective Entity Resolution Approach for Big Data
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To define a good ER approach, the schema of the data should be well-known. In addition, To overcome such issues, we propose a novel and efficient ER approach for big data For the security of data intrusion detection system (IDS) has This paper introduces a machine learning model big data is used to process the data and comparison is made with deep
Based on Big Data Analysis on The Influence of Extracurricular Activities on the Character Education of High School Students in China and Indonesia
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Data processing technology The data processing techniques in this analysis use the help of big data analysis, namely: a. The normality test. This test aims to determine whether the
Development of large-scale big data system with state management on serverless cloud architectures
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depicted how it interacts with the current Big Data processing system in our case, proving its seamless possible integration with different MapReduce-like analytics frameworks. Our In digital healthcare systems, the patients face significant problems identifying an optimal vacant and available slot for their appointment as the number of patient requests directlybig data has emerged as an absolute prerequisite for exchanging private data in terms of data In this work, a differential privacy protection scheme for big data in body area network is
Gini Index Random Forest-Based Feature Importance Measure Algorithm for Early Diagnosis of Breast Cancer in Saudi Arabia. Big Data Cogn. Comput. 2022
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data would be collected with the help and guidance of human experts of the problem domain to be modeled. Missing data for analyzing high dimensional data and building models. An
Taking the High Road: A Big Data Investigation of Natural Discourse in the Emerging US Consensus about Marijuana Legalization
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Eleven years ago, Dr. Javad Hatami introduced me to cognitive science and forever changed my life. I owe much to his keen mind and to his patient and kind heart. Later, it has been my
Big Data Database Information Fusion Problem in AI-guided Drug Discovery Full Product Life Cycle Analysis
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Due to the high amount and complexity of the information to be analyzed in a full/partial PLC analysis in this area this can be seen as a genuine Big Data problem. One approach to this new and unusual data patterns (eg, Wen et al. 2018). In the big data era, data are being and volume, which is a result of automated technologies for data acquisition. Aggregated
Optimization of Evacuation and Walking-Home Routes from Osaka City After a Nankai Megathrust Earthquake Using Road Network Big Data
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However, the road network big data for Osaka City make such optimization difficult. Therefore, we propose methods for simplifying the large network while keeping those properties
Data Mining Methods: A Review
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In this paper, there is an extent review and summary of Big Data Mining techniqueswith the most common data mining algorithms suitable to be used to handle large datasets. The
Analysis of Road Accidents in UK 1979-2015 Using Big Data Approach.
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of data required to analyze and interpret the proper solution. This paper presents a descriptive analysis of road accidents in Great Britain from 1979 to 2015. based on a big data data
Big data analytics
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Nel corso degli ultimi anni i dati sono diventati sempre più un patrimonio fondamentale per qualunque organizzazione e sono stati addirittura definiti come l oro del XXI secolo. Essi
On Data and Care in Migration Contexts
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the big data sublime (Mosco 2004): assuming technological innovation can disrupt and solve problems (without having to come to terms with underpinning large-scale historical, socio-
Key Aspects of Data Science, Methodologies, Issues, Challenges and its Applications
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the topics of data science, big data methodologies of conducting a data science project, challenges and applications. The paper will be interesting to Data Analysts, Data Scientists and
A Secure Encrypted Classified Electronic Healthcare Data for Public Cloud Environment
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The proliferation of big data in the blood bank supply chain and data management needs data so that the requests can be handled easily with less human intervention. Big data in the
Improving the Quality Validation of Semi-Structured Data Process Using Hadoop
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the big data and how to analyze an appropriate algorithm to nd the useful things from big data To deeply discuss this issue, this paper begins with a brief introduction to big data testing,
LSAR: Efficient leverage score sampling algorithm for the analysis of big time series data
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data . We first develop a new fast algorithm to estimate the leverage scores of an autoregressive (AR) model in big data an appropriate AR model to big time series data . Our proposed
Big Research Information in Data Lake
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The huge amounts of data and the very differently structured data that arise from Big Research Big research information is metadata that is required in the research management of an One of the most critical technologies for the early prediction of a pandemic scenario is big data . The aim of this chapter is to develop a framework by enabling big data intelligence for
M. Sc. COMPUTER SCIENCE PROGRAMME STRUCTURE COURSE CODE
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big data analysis using Hadoop and MapReduce technologies (iii) Ability to identify the characteristics of data sets and compare the trivial and big data handling big data characteristics
Analysis on the Control of Data Collection, Privacy, and Usage
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to the Big Data . In response to Kosinskis contemplation on how Big Data was utilized to Based on this review of the use of big data . It draws attention to the fact that this is a normal predictive models through data . Advancements in big data and extract useful information. Cloud systems are becoming unavoidable to store, classify, interpret, and visualize these data
Development and Upgrading Plan for FMCG Industry Based on Data Mining
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Thus, a powerful multidimensional analysis and visualization tool is also critical, which also contains a need to build a complex big data analysis cube based on big data analysis (as Furthermore, the sparsity of the trajectory data also affects the accuracy. Therefore, it is a big challenge to predict the destination more accurately. In order to address this issue, we Notwithstanding the pressing demand for data driven by AI and big data the inconvenient truth is that the ambitious goals set by the European Commission will be at risk so long as
DATA DIGITAL RISKS, AND FINANCIAL MARKETS
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To this literature we contribute the insight that complex environments ( big data and many modeling choices) and uncertainty about other agents models, arising from the necessity of
big data IEEE PAPER 2021
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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