Some Comments on Big Data and Data Science

被引：0

作者：

Gu J. ^{[1
]}

Zhang L. ^{[2
]}

机构：

[1] Academy of Mathematics and Systems Science, Chinese Academy of Sciences, 55 Zhongguancun East Road, Beijing

[2] School of Management, University of Chinese Academy of Sciences, Beijing

来源：

Annals of Data Science | 2014年 / 1卷 / 3-4期

基金：

中国国家自然科学基金;

关键词：

Big data; Comments; Data; Data science; DIKW; Small data;

D O I：

10.1007/s40745-014-0021-9

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Based on previous paper titled in “Data, DIKW, Big data and Data science” presented in ITQM2014 and published in Procedia Computer Science we will make some modifications. We discuss the relationship between data and data–information–knowledge–wisdom. Now the big data occupies much attention in some extent for his volume, velocity, and variety. But in practical use the value plays more important role. Finally to judge the value for data not necessary for big, in some cases the small data also may lead to big value. So we appreciate the data science, which may consider more inherent value from data. We will make some comments on the big data and data science from another angle. © 2015, Springer-Verlag Berlin Heidelberg.

引用

页码：283 / 291

页数：8

共 24 条

[1]

DIKW Pyramid, (2011)

[2]

Gu J., Data, information, knowledge, wisdom and meta-synthesis of wisdom-comment on wisdom global and wisdom cities, Procedia Computer Science, First International Conference on Information Technology and Quantitative Management (ITQM2013), 17, pp. 713-719, (2013)

[3]

Bellinger G., Castro D., Mills A., Data, Information, Knowledge and Wisdom, (2004)

[4]

Leondes C.T., Intelligent Knowledge-Based Systems: Business and Technology in the New Millennium, (2010)

[5]

Zhang L.L., Li J., Li A.H., Zhang P., Nie G.L., Shi Y., A new research field: Intelligent knowledge management, International conference on business intelligence and financial engineering, 2009 (BIFE ’09), pp. 450-454, (2009)

[6]

Cao L.B., Zhang C.Q., Domain-driven actionable knowledge discovery in the real world, PAKDD 2006, LNAI, 3918, pp. 821-830, (2006)

[7]

Zhu Z.X., Toward domain-driven data mining, International symposium on intelligent information technology application workshops, 2008, IITAW, 8, pp. 21-22, (2008)

[8]

Gu J.F., Expert Mining for Discussing the Social Complex Problems, MCS2006, (2006)

[9]

Gu J.F., Song W.Q., Zhu Z.X., Gao R., Liu Y.J., Expert Mining and TCM Knowledge, KSS2008, pp. 11-13, (2008)

[10]

Gu J.F., Liu Y.J., Zhu Z.X., Expert mining and meta-synthesis, (2014)

← 1 2 3 →