About this book series
This series presents concise summaries of cutting-edge
research and practical applications in the area of big data analysis, decision
making and prediction. With “innovation” as a key word, the series aims for
sharing new approaches and inspiring ideas of data analysis arising from
different fields including social sciences, artificial intelligence, medical
care, security, policymaking, urban planning, and more. The series aims to promote data sciences for new
innovations such as the use of big data to find cutting-edge
solutions for human society at large.
Featuring compact volumes of 50 to 125 pages
(approximately 20,000-45,000 words), Briefs allow authors to present their
ideas and readers to absorb them with minimal time investment.
Typical texts for publication might include:
- A snapshot review of the current state of a
hot or emerging field
- A
concise introduction to core concepts that students must understand in order to
make independent contributions
- An
extended research report giving more details and discussion than is possible in
a conventional journal article
- A manual describing underlying principles and best practices for an experimental technique
The standard concise author contracts guarantee that:
- an individual ISBN is assigned to each manuscript
- each
manuscript is copyrighted in the name of the author
- the
author retains the right to post the pre-publication version on his/her website
or that of his/her institution
- Electronic ISSN
- 2520-1921
- Print ISSN
- 2520-1913
- Editor-in-Chief
-
- Osamu Sudoh
