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Towards Construction of an Explanation Framework for Whole Processes of Data Analysis Applications: Concepts and Use Cases

Authors:
Hiroshi Ishikawa
Yukio Yamamoto
Masaharu Hirota
Masaki Endo

Keywords: social big data; explanayion; data model; data management; data mining

Abstract:
The main contribution of the paper is to address the necessity of both macro and micro explanations for Social Big Data (SBD) applications and to propose an explanation framework integrating both, allowing SBD applications to be more widely accepted and used. The framework provides both a macro explanation of the whole procedure and a micro explanation of the constructed model and an explanation of the decisions made by the model. For a macro explanation of the application, we introduce a data model for abstractly describing all processes from data acquisition to data analysis and explain the processes based on the data model. For the micro explanation, we illustrate the basis of the interpretation of the analytical model and the decisions made when applying it. We describe some of the specific features of the explanation framework proposed through multiple use cases.

Pages: 26 to 35

Copyright: Copyright (c) IARIA, 2019

Publication date: March 24, 2019

Published in: conference

ISSN: 2308-4448

ISBN: 978-1-61208-697-2

Location: Valencia, Spain

Dates: from March 24, 2019 to March 28, 2019