Revealing Big Data Emerging Technology as Enabler of LMS Technologies Transferability

2017 ◽  
pp. 123-145 ◽  
Author(s):  
Heru Susanto ◽  
Ching Kang Chen ◽  
Mohammed Nabil Almunawar
Keyword(s):  
Big Data ◽  
Emerging Technology

Big Data Technology, Evolving Knowledge Skills and Emerging Roles

2016 ◽  
Vol 16 (4) ◽  
pp. 219-224 ◽  
Author(s):  
Alex Smith
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Emerging Technology ◽  
Law Firms ◽  
Support Functions ◽  
Legal Problems ◽  
Artificial Intelligence Technology ◽  
Domain Expertise ◽  
New Generation ◽  
Big Data Technology

AbstractIn a world where articles and tweets are discussing how artificial intelligence technology will replace humans, including lawyers and their support functions in firms, it can be hard to understand what the future holds. This article, written by Alex Smith, is based on his presentation at the British and Irish Association of Law Librarians conference in Dublin 2016 and looks at demystifying the emerging technology boom and identifies the expertise needed to make these tools work and be deployed in law firms. The article then looks at the skills and expertise of the knowledge and information teams, based in law firms, and suggests how they are ideally placed to lead these challenges as a result of their domain expertise and their existing, well defined skills that are essential to this new generation of technology. The article looks at the new technical environment, the emerging areas of products and legal problems, the skills needed for the new roles that this revolution is creating and how this could fit into a reimagined knowledge team.

Need for Dynamicity in Social Networking Sites

2014 ◽  
pp. 64-87
Author(s):  
Gurdeep S Hura
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Big Data ◽  
Social Networking ◽  
Real World ◽  
Social Networking Sites ◽  
Data Science ◽  
Emerging Technology ◽  
New Applications ◽  
Future Status

This chapter presents this new emerging technology of social media and networking with a detailed discussion on: basic definitions and applications, how this technology evolved in the last few years, the need for dynamicity under data mining environment. It also provides a comprehensive design and analysis of popular social networking media and sites available for the users. A brief discussion on the data mining methodologies for implementing the variety of new applications dealing with huge/big data in data science is presented. Further, an attempt is being made in this chapter to present a new emerging perspective of data mining methodologies with its dynamicity for social networking media and sites as a new trend and needed framework for dealing with huge amount of data for its collection, analysis and interpretation for a number of real world applications. A discussion will also be provided for the current and future status of data mining of social media and networking applications.

The Emerging Technology of Big Data

2019 ◽  
Author(s):  
Heru Susanto ◽  
Fang-Yie Leu ◽  
Chin Kang Chen
Keyword(s):  
Big Data ◽  
Emerging Technology

The Disruptive Impact of Emerging Technology

2015 ◽  
pp. 233-256 ◽  
Author(s):  
Gordon J. Murray
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Disruptive Innovation ◽  
Emerging Technology ◽  
Decision Making Processes ◽  
Data Journalism ◽  
Day To Day Operations ◽  
Map Data ◽  
Access Data ◽  
Wireless Mobile

In this chapter, context for understanding the phenomenon of “big data” and disruptive innovation is introduced relative to current changes affecting the future of the journalism industry. Perspective is provided on market forces and emerging technologies that now shape the demand for data journalism. Current best practices and strategies to analyze, scrape, personalize, visualize and map data are presented. Trends and resources to access data and effectively analyze information are outlined for journalists to use when researching and reporting online. Three contemporary case studies explore the day-to-day operations and decision-making processes of media organizations struggling to remain profitable; adapt to changing consumer demands and try to serve a new demographic that is increasingly global, wireless, mobile and socially networked.

Need for Dynamicity in Social Networking Sites

2013 ◽  
pp. 1-24 ◽  
Author(s):  
Gurdeep S Hura
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Big Data ◽  
Social Networking ◽  
Real World ◽  
Social Networking Sites ◽  
Data Science ◽  
Emerging Technology ◽  
New Applications ◽  
Future Status

This chapter presents this new emerging technology of social media and networking with a detailed discussion on: basic definitions and applications, how this technology evolved in the last few years, the need for dynamicity under data mining environment. It also provides a comprehensive design and analysis of popular social networking media and sites available for the users. A brief discussion on the data mining methodologies for implementing the variety of new applications dealing with huge/big data in data science is presented. Further, an attempt is being made in this chapter to present a new emerging perspective of data mining methodologies with its dynamicity for social networking media and sites as a new trend and needed framework for dealing with huge amount of data for its collection, analysis and interpretation for a number of real world applications. A discussion will also be provided for the current and future status of data mining of social media and networking applications.

scholarly journals Role of Big data in HealthCare and Internet of Things: A Detailed Bibliometric Survey

2021 ◽  
Author(s):  
Phani sridhar Addepa ◽  
Krishna Mohana Tenneti
Keyword(s):  
Big Data ◽  
Network Analysis ◽  
Internet Of Things ◽  
English Language ◽  
Subject Area ◽  
Emerging Technology ◽  
Work Up ◽  
Bibliographic Study ◽  
Science Subject

Abstract This paper makes the Bibliographic study of the Big Data involvement in Healthcare and Internet of things. Research contribution towards this area has started from the year 2013 as per the fundamental keywords chosen in this survey. Thus makes the thrust discipline and emerging technology of research, also a trendy domain based on its recognized inception. Upon consideration of the selected keywords there was no work up to 2012 and all together 425 papers are obtained from 2013 onwards through Scopus website. Among these major contribution was in Computer Science Subject area with 308 in number and maximum articles were published in English Language with 421 and highest number of papers contributed were 128 by India. This study uses versatile Bibliometric analysis databases and methods resulting in Statistical and Network Analysis in terms of Authors, Organizations, Citations, Co- Citations etc.

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