Data Management, Analytics and Innovation : Proceedings of ICDMAI 2020, Volume 1 / edited by Neha Sharma, Amlan Chakrabarti, Valentina Emilia Balas, Jan Martinovic.

Format
Book
Language
English
Εdition
1st ed. 2021.
Published/​Created
Singapore : Springer Nature Singapore : Imprint: Springer, 2021.
Description
1 online resource (471 pages) : illustrations

Details

Subject(s)
Editor
Series
Summary note
This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. Gathering peer-reviewed research papers presented at the Fourth International Conference on Data Management, Analytics and Innovation (ICDMAI 2020), held on 17–19 January 2020 at the United Services Institute (USI), New Delhi, India, it addresses cutting-edge topics and discusses challenges and solutions for future development. Featuring original, unpublished contributions by respected experts from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.
Contents
  • Improving Microblog Clustering: Tweet Pooling Schemes
  • An IoT based parking framework for smart cities
  • Open Source Challenges & Opportunities
  • Empirical study on the perception of accounting professionals towards awareness and adoption of IFRS in India
  • On Readability Metrics of Goal Statements of Universities and Brand-promoting Lexicons for Industries
  • An Efficient Recommendation System on E-Learning Platform by Query Lattice Optimization
  • DengueCBC: Dengue EHR Transmission using Secure Consortium Blockchain Enabled Platform
  • Online Credit Card Fraud Analytics using Machine Learning Techniques
  • Identifying Major Critical Factors Faced by Tourism Industry Using Apriori Algorithm.
ISBN
981-15-5616-4
Doi
  • 10.1007/978-981-15-5616-6
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