A. Appendix

Figure 6. Technology roadmap of BD applications.

Figure 5. Technology roadmap of BD basic technology.

114 Scientometrics



Internet of Things

Memory arch.

Competitive intelligence

Learning Systems

Data privacy Query processing

05/2016 9 25 23 14 29 12 17 12 26 9 06/2016 14 30 36 8 23 13 28 12 18 14 07/2016 17 36 12 12 17 14 25 10 27 17 08/2016 12 36 28 13 26 10 22 13 31 12 09/2016 16 24 25 23 20 10 19 12 26 16 10/2016 9 46 26 25 43 16 39 14 35 9 11/2016 11 58 54 47 48 26 31 14 48 11

Health care

Technology Roadmapping of Emerging Technologies: Scientometrics and Time Series Approach

Data comm. syst.

Disaster prevention Bioinformatics

Table A1. Time series values of big data basic technology top components.

Processing framework

01/2012 1 1 1 1 1 1 1 1 1 1 02/2012 1 1 1 1 1 3 1 3 1 2 03/2012 2 1 2 3 2 1 3 2 1 1 04/2012 1 1 1 3 1 1 1 1 3 1 05/2012 1 1 1 3 1 1 2 1 1 1 06/2012 1 2 1 2 2 3 3 2 5 2 07/2012 1 1 1 1 1 1 1 1 1 1 08/2012 2 1 2 1 1 1 1 2 2 1 09/2012 3 5 2 9 2 5 1 5 2 2 10/2012 1 2 1 7 2 2 1 3 4 5 11/2012 2 1 1 5 1 2 2 2 2 2 12/2012 4 3 1 16 2 7 4 6 6 3 01/2013 1 1 1 2 1 2 1 1 1 1 02/2013 1 1 1 1 1 1 4 1 1 1 03/2013 1 2 2 5 2 3 1 2 3 3 04/2013 1 4 2 3 5 5 4 4 1 2 05/2013 9 10 4 5 2 17 7 13 4 4 06/2013 7 6 3 6 3 8 3 8 8 11

Visual data

Social big data

Smart Pow. grids

Machine learning

Knowledge based syst.

http://dx.doi.org/10.5772/intechopen.76675

Internet of Things

Data visual. 117

Energy efficiency Traffic control Technology Roadmapping of Emerging Technologies: Scientometrics and Time Series Approach http://dx.doi.org/10.5772/intechopen.76675 117


Table A1. Time series values of big data basic technology top components.

Memory arch.

116 Scientometrics

Competitive intelligence

Learning Systems

Data privacy Query processing

Health care

Data comm. syst.

Knowledge based syst.

Internet of Things

Data visual.



Author details

Internet of Things

Disaster prevention Bioinformatics Processing framework

01/2016 15 14 10 10 3 16 7 16 10 7 02/2016 11 14 52 11 14 14 15 16 10 10 03/2016 11 15 13 21 8 16 19 11 12 9 04/2016 15 9 11 32 8 24 20 22 10 9 05/2016 42 30 18 37 14 39 31 48 27 27 06/2016 32 32 28 29 14 53 43 45 28 35 07/2016 19 18 11 15 11 33 21 32 20 18 08/2016 19 24 10 16 15 27 42 19 10 12 09/2016 23 14 19 27 15 28 19 35 19 13 10/2016 30 26 11 34 16 49 29 53 12 12 11/2016 18 12 12 13 12 25 17 24 12 14 12/2016 23 13 20 19 10 34 20 29 9 10

Visual data

Social big data

Technology Roadmapping of Emerging Technologies: Scientometrics and Time Series Approach

Smart Pow. grids

Machine learning

http://dx.doi.org/10.5772/intechopen.76675

Energy efficiency Traffic control 119

Iñaki Bildosola<sup>1</sup>

References

1993. p. 484

\*, Rosamaría Río-Bélver2

Table A2. Time series values of big data applications top components.

\*Address all correspondence to: inaki.bildosola@ehu.es

Engineering School of Vitoria-Gasteiz, Vitoria, Spain

of Engineering in Bilbao, Bilbao, Spain

, Gaizka Garechana<sup>1</sup> and Enara Zarrabeitia<sup>1</sup>

1 Industrial Management Department, University of the Basque Country (UPV/EHU), Faculty

[1] Zhang Y, Porter AL, Chiavetta D. Scientometrics for tech mining: An introduction.

[2] Martino JP. Technological Forecasting for Decision Making. 3rd ed. McGraw-Hill, Inc.;

2 Industrial Management Department, University of the Basque Country (UPV/EHU),

Scientometrics. 2017;111(3):1875-1878. DOI: 10.1007/s11192-017-2344-8

Technology Roadmapping of Emerging Technologies: Scientometrics and Time Series Approach http://dx.doi.org/10.5772/intechopen.76675 119


Table A2. Time series values of big data applications top components.
