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Trend and applications of Big Data and IoT techniques

Published: 07 December 2017 Publication History

Abstract

As people say "Data is the new oil," Big data is expected to make a large impact on our society and economics by mining hidden knowledge and rules from the data. In particular, the structure of the real world data is changing from traditional relational data model to more generalized graph data model, as the web and social media are getting popular in the world. One of the most important technical challenges here is to efficiently analyze large graph data that express various types of relationship between people, items, and places. In this talk, we overview the trend of Big Data and IoT and then explain our research on distributed query optimization on cloud environment and efficient graph mining algorithms. Finally, we introduce some of our interesting applications of Big Data: 1) social network analysis by employing graph mining algorithms, 2) business data analysis by exploratory data analysis techniques, and 3) Smart route recommendation system empowered by IoT.

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SoICT '17: Proceedings of the 8th International Symposium on Information and Communication Technology
December 2017
486 pages
ISBN:9781450353281
DOI:10.1145/3155133
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

In-Cooperation

  • SOICT: School of Information and Communication Technology - HUST
  • NAFOSTED: The National Foundation for Science and Technology Development

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 December 2017

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SoICT 2017

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Overall Acceptance Rate 147 of 318 submissions, 46%

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