Home // International Journal On Advances in Networks and Services, volume 10, numbers 3 and 4, 2017 // View article

An integrated data model for management and mining of social big data: Concepts and Applications

Authors:
Hiroshi Ishikawa
Richard Chbeir

Keywords: social data; big data; data model; data management; data mining; tourism; disaster prevention.

Abstract:
Big data typically include three kinds of data such as IoT (Internet of Things) data, social data, and open data. However, there exists no integrated analytic methodology as to big data applications involving different kinds of data sources. Furthermore, big data applications inherently involve data management and data mining. We propose an integrated analytic methodology by taking a data model approach. We propose an abstract data model for seamlessly describing both data management and data mining cooccurring in big data applications, based on mathematical concepts of families, that is, collections of sets. Our model also facilitates reproducibility and accountability required for promoting social big data researches and developments. We have validated our proposal by adapting our model to a variety of real case studies in social big data.

Pages: 70 to 81

Copyright: Copyright (c) to authors, 2017. Used with permission.

Publication date: December 31, 2017

Published in: journal

ISSN: 1942-2644