Differentially-Private Big Data Analytics for High-Speed Research Network Traffic Measurement

2017 ◽  
Author(s):  
Oana-Georgiana Niculaescu ◽  
Mihai Maruseac ◽  
Gabriel Ghinita
Keyword(s):  
Big Data ◽  
Network Traffic ◽  
Data Analytics ◽  
High Speed ◽  
Big Data Analytics ◽  
Research Network ◽  
Traffic Measurement

scholarly journals Machine Learning Based Mathematical Modelling for Prediction of Social Media Consumer behaviour using Big Data Analytics

2021 ◽  
Author(s):  
Kiran Chaudhary ◽  
Mansaf Alam ◽  
Mabrook S. Al-Rakhami ◽  
Abdu Gumaei
Keyword(s):  
Social Media ◽  
Big Data ◽  
Data Analytics ◽  
High Speed ◽  
Consumer Behaviour ◽  
Big Data Analytics ◽  
Quality Data ◽  
Volume Data ◽  
Process Data ◽  
Big Data Technology

Abstract Almost many consumers are inclined by social media to purchase the product and spend more money on purchasing. We got the data from social media to analyse the consumer behaviour. We have considered the consumer data from Facebook, Twitter, LinkedIn and YouTube. There is diversity and high-speed, high volume data is coming from social media, so we used big data technology. Big Data Technology is the recent technology is used in various field of research. In this paper we have used the concept of big data technology to process data and analyse to predict the consumer behaviour on social media. We have analysed the consumer behaviour based on certain parameter and criteria. we have analysed the consumer perception, attitude towards the social media. For doing the prediction we have pre-process the data to make the quality data so that we can take the quality decision based on outcome of our model. We have used the predictive big data analytics technique to analyse the consumer behaviour prediction in this paper.

scholarly journals Blockchain-based Big Data Analytics Approach for Smart Cities

2020 ◽  
Author(s):  
Tanweer Alam
Keyword(s):  
Big Data ◽  
Secure Communication ◽  
Data Analytics ◽  
High Speed ◽  
Smart Cities ◽  
Big Data Analytics ◽  
Heterogeneous Environments ◽  
Blockchain Technology ◽  
Pervasive Environment ◽  
Urban Planning And Development

The wireless communication is the fastest-growing field of studies to enable humans to communicate with each other. Introducing a new blockchain architecture with big data analytics can be an enticing platform towards increasing connectivity performance throughout the smart cities. Blockchains can build a convenient mechanism allowing two devices to effectively transmit currency as well as data, to each other with a secure and reliable agreement. Smart cities provide an opportunity to connect people and places that use emerging technologies that help to improve urban planning and development. Smart cities can enhance public infrastructure and people's living experience. Presently, high-speed, intelligent, effective with several innovations, like low energy consumption, etc., seem to be accessible to interact together in the modern environment. By using the blockchain-based big data approach the physical devices are allowed to communicate securely with other physical devices in heterogeneous environments. This approach builds a new blockchain-based computing structure throughout the IoT technology configuration. This approach can examine blockchain technology to the underlying technology or maintains the IoT authentication reliable. This strengthens blockchain and cloud to develop an enabling IoT pervasive environment for secure communication among the physical objects.

scholarly journals Big Data Analytics With Reference To Wide Variety of Domains

2019 ◽  
Vol 8 (10) ◽  
pp. 1100-1104
Keyword(s):  
Health Care ◽  
Social Networks ◽  
Big Data ◽  
Data Analytics ◽  
High Speed ◽  
Big Data Analytics ◽  
Huge Amount ◽  
Government Sector ◽  
Big Data Technologies ◽  
Survey Results

In the current day scenario, a huge amount of data is been generated from various heterogeneous sources like social networks, business apps, government sector, marketing, health care system, sensors, machine log data which is created at such a high speed and other sources. Big Data is chosen as one among the upcoming area of research by several industries. In this paper, the author presents wide collection of literature that has been reviewed and analyzed. This paper emphasizes on Big Data Technologies, Application & Challenges, a comparative study on architectures, methodologies, tools, and survey results proposed by various researchers are presented

scholarly journals Blockchain-based Big Data Analytics Approach for Smart Cities

2020 ◽  
Author(s):  
Tanweer Alam
Keyword(s):  
Big Data ◽  
Secure Communication ◽  
Data Analytics ◽  
High Speed ◽  
Smart Cities ◽  
Big Data Analytics ◽  
Heterogeneous Environments ◽  
Blockchain Technology ◽  
Pervasive Environment ◽  
Urban Planning And Development

The wireless communication is the fastest-growing field of studies to enable humans to communicate with each other. Introducing a new blockchain architecture with big data analytics can be an enticing platform towards increasing connectivity performance throughout the smart cities. Blockchains can build a convenient mechanism allowing two devices to effectively transmit currency as well as data, to each other with a secure and reliable agreement. Smart cities provide an opportunity to connect people and places that use emerging technologies that help to improve urban planning and development. Smart cities can enhance public infrastructure and people's living experience. Presently, high-speed, intelligent, effective with several innovations, like low energy consumption, etc., seem to be accessible to interact together in the modern environment. By using the blockchain-based big data approach the physical devices are allowed to communicate securely with other physical devices in heterogeneous environments. This approach builds a new blockchain-based computing structure throughout the IoT technology configuration. This approach can examine blockchain technology to the underlying technology or maintains the IoT authentication reliable. This strengthens blockchain and cloud to develop an enabling IoT pervasive environment for secure communication among the physical objects.

scholarly journals Imminent Challenges of Adoption of Big Data in Educational Systems in Sub-Saharan Africa Nations

2020 ◽  
Vol 8 (5) ◽  
pp. 4544-4550
Keyword(s):  
Big Data ◽  
Learning Analytics ◽  
Data Analytics ◽  
High Speed ◽  
Technological Development ◽  
Big Data Analytics ◽  
Sub Saharan Africa ◽  
Educational Systems ◽  
Sub Saharan ◽  
Traditional Processing

Exponential technological development as seen in the 21st century has led to the generation of the very large volume of data in different formats and at a very high speed, such that traditional processing methods cannot be used to process these data. With the evolution of big data and its processing techniques, useful information has been derived from these volumes of data that has been useful in decision making in various domains, education inclusive. In the developed economy land stride has been made in the use of big data analytics especially academic and learning analytics, but such cannot be said in the developing economy like sub-Saharan Africa. Researchers have done thorough work on the benefits and challenges of big data as a trend and in extension big data analytics in education. This work systematically reviewed works in big data, academic analytics, learning analytics, identifying generalized challenges of big data and it extends to identifying salient factors that are hindering adoption of big data in educationin sub-Saharan Africa in line with the 4th sustainable development goal 2030Development Agenda of the United Nations; using online sources as it bulk of data collection. These issues that formed the gap are addressed in the different sections of the article.

scholarly journals Blockchain-based Big Data Analytics Approach for Smart Cities

2020 ◽  
Author(s):  
Tanweer Alam
Keyword(s):  
Big Data ◽  
Secure Communication ◽  
Data Analytics ◽  
High Speed ◽  
Smart Cities ◽  
Big Data Analytics ◽  
Heterogeneous Environments ◽  
Blockchain Technology ◽  
Pervasive Environment ◽  
Urban Planning And Development

The wireless communication is the fastest-growing field of studies to enable humans to communicate with each other. Introducing a new blockchain architecture with big data analytics can be an enticing platform towards increasing connectivity performance throughout the smart cities. Blockchains can build a convenient mechanism allowing two devices to effectively transmit currency as well as data, to each other with a secure and reliable agreement. Smart cities provide an opportunity to connect people and places that use emerging technologies that help to improve urban planning and development. Smart cities can enhance public infrastructure and people's living experience. Presently, high-speed, intelligent, effective with several innovations, like low energy consumption, etc., seem to be accessible to interact together in the modern environment. By using the blockchain-based big data approach the physical devices are allowed to communicate securely with other physical devices in heterogeneous environments. This approach builds a new blockchain-based computing structure throughout the IoT technology configuration. This approach can examine blockchain technology to the underlying technology or maintains the IoT authentication reliable. This strengthens blockchain and cloud to develop an enabling IoT pervasive environment for secure communication among the physical objects.

scholarly journals Streaming Big Data Analytics- Current Status, Challenges and Connection of unbounded data Processing platforms

2019 ◽  
Vol 8 (9S2) ◽  
pp. 698-700
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
High Speed ◽  
Big Data Analytics ◽  
Current Status ◽  
Data Sets ◽  
Huge Data ◽  
Timely Fashion ◽  
Iot Devices ◽  
Streaming Big Data

A strategy of examining immense dimensions of structured, un-structured, Semi-Structured data sets is referred as Big data Analytics. Streaming Big Data refers to data generated continuously from number of data sources like Internet-of-Things (IoT) devices, mobile applications, Embedded Sensors, web clicks and many more are needed to be store, processed and analyzed in a tiny interval of time in order to extract meaningful insights and take proper decisions in a timely fashion as the necessity arises. However analyzing streaming big data (continuous flow or unbounded data) is a very challenging problem. Continuous data streams have become essential prerequisite for numerous industrial and scientific applications, the current existing technology Hadoop-MapReduce is not appropriate for stream processing of big data. This paper discusses the challenges and benefits of streaming big data along with its architecture, and focuses on different open source streaming processing platforms that are existed to process the huge data at a high speed

scholarly journals Assessment of the Various Techniques and the Latest Tools for the Big Data Analytics

2019 ◽  
Vol 9 (2) ◽  
pp. 4190-4193
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
High Speed ◽  
Big Data Analytics ◽  
Daily Basis ◽  
Vital Role ◽  
Online Marketing ◽  
Digital Information ◽  
News Website ◽  
Social Media Platforms

Big data analytics plays a vital role in today’s environment and a need for the researchers, academicians and industry people. The digital information over the internet is spreading with a very high speed by facebook likes/posts, blogs, tweets, articles, news, website clicks, youtube videos etc in an unstructured form. On the daily basis people around the globe which are in billions fetching, uploading and sharing the information through laptops and mobiles on social media platforms. The data includes structured and unstructured information in the form of blogs, google locations, pictures, videos, voice messages and text etc. The question arises how to process this huge information, because the basic techniques of data processing are not enough to handle the heterogeneous, enormous and Exponential data. Online marketing and ECommerce has become very famous in recent times because all types of businesses are mostly depend on the online transactions and services provided by the seller. Big data analytics has demonstrated to be an aid for such an industry as it removes valuable examples and obscure connections of potential buyer showcase, customer inclinations, purchasing traits and part of other data from mind boggling information sources. The different problems specified above can be resolved by using latest tools available. This paper focuses to provide detailed information about the latest tools and frameworks which are used for big data analytics with comparative assessment.

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