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Preface

Preface Ann. Data. Sci. (2014) 1(3–4):281–282 DOI 10.1007/s40745-014-0028-2 Philosophy, Methodology, and Practice of Big Data Ying Liu Published online: 11 January 2015 © Springer-Verlag Berlin Heidelberg 2015 This issue of 2014, Annals of Data Science (volume 1, No. 3) presents seven papers contributed by 21 authors and the co-authors who are from four different countries, including China, USA, France and Turkey. The contents of the papers focus on various issues in big data, the hottest research topic in academia and industry nowadays. Authors discussed big data from three aspects: philosophy, methodology, and practice. The first paper, “Some Comments on Big data and Data Science”, by Jifa Gu and Lingling Zhang, is invited to this special issue. Prof. Jifa Gu is a world-renowned researcher in Meta-synthesis system approach and Knowledge Science. Currently, he is active in conducting research in data science. This paper discussed the relationship between data, DIKW, big data and data science. From their point of view, they not only emphasize the utilization of data evolving to knowledge and wisdom, but also wish to point out that too much emphasizing “big” may not solve all the problems sometimes. In some cases, small data may lead to big value. They http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Annals of Data Science Springer Journals

Preface

Liu, Ying
Annals of Data Science , Volume 1 (4) – Jan 11, 2015
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Publisher
Springer Journals
Copyright
Copyright © 2015 by Springer-Verlag Berlin Heidelberg
Subject
Economics / Management Science; Business/Management Science, general; Statistics for Business/Economics/Mathematical Finance/Insurance; Computing Methodologies
ISSN
2198-5804
eISSN
2198-5812
DOI
10.1007/s40745-014-0028-2
Publisher site
See Article on Publisher Site

Abstract

Ann. Data. Sci. (2014) 1(3–4):281–282 DOI 10.1007/s40745-014-0028-2 Philosophy, Methodology, and Practice of Big Data Ying Liu Published online: 11 January 2015 © Springer-Verlag Berlin Heidelberg 2015 This issue of 2014, Annals of Data Science (volume 1, No. 3) presents seven papers contributed by 21 authors and the co-authors who are from four different countries, including China, USA, France and Turkey. The contents of the papers focus on various issues in big data, the hottest research topic in academia and industry nowadays. Authors discussed big data from three aspects: philosophy, methodology, and practice. The first paper, “Some Comments on Big data and Data Science”, by Jifa Gu and Lingling Zhang, is invited to this special issue. Prof. Jifa Gu is a world-renowned researcher in Meta-synthesis system approach and Knowledge Science. Currently, he is active in conducting research in data science. This paper discussed the relationship between data, DIKW, big data and data science. From their point of view, they not only emphasize the utilization of data evolving to knowledge and wisdom, but also wish to point out that too much emphasizing “big” may not solve all the problems sometimes. In some cases, small data may lead to big value. They

Journal

Annals of Data Science – Springer Journals

Published: Jan 11, 2015

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