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Dark Data Analytics Using Blockchain Technology

  • Neha
  • Payal PahwaEmail author
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 612)

Abstract

These days, data is growing at a frantic pace in almost all fields such as E-Commerce, education, health industry, banking and many more, and we are not able to reap its value fully due to which it remains unprocessed or unstructured and hence turns into Dark Data. Dark Data is the data that an organisation collects and then fails to harness its value which then adds to the biggest portion of Big Data. This paper unlocks the potential of the upcoming revolution in digital economy, especially in the field of global financial markets: The Blockchain Technology. It is the engine behind the most popular, the very first cryptocurrency called the Bitcoin by Satoshi Nakamoto in 2008. We have explored various reasons for this technology to be a disruptive force in future, its current trends, various advantages and limitations. Also intersection of Blockchain Technology, Machine learning and Artificial Intelligence when used to handle Dark Data (unstructured or unused data) will not only upgrade the value of data, but will provide us with more transparent and efficient results, since Blockchain is nothing but a secure database of online transactions in itself.

Keywords

Blockchain technology Dark data Artificial intelligence 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.University School of Information, Communication and Technology, GGSIPUNew DelhiIndia
  2. 2.Department of Computer ScienceBhagwan Parshuram Institute of Technology, GGSIPUNew DelhiIndia

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