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3. Lebaron, F. (2009), “How Bourdieu ‘quantified’ Bourdieu: the geometric
modelling of data”, chapter 2 in K. Robson and C. Sanders, Eds., Quan-
tifying Theory: Pierre Bourdieu, Springer.
4. Murtagh, F. (2017), Data Science Foundations: Geometry and Topol¬ogy
of Complex Hierarchic Systems and Big Data Analytics, Chapman &
Hall/CRC Press, Boca Raton Florida, USA.
5. Murtagh, F. and Devlin, K. (2018), “The Development of Data Science:
Implications for Education, Employment, Research, and the Data Revo-
lution for Sustainable Development”, Big Data and Cognitive Computing,
2(2), 16 pp.
6. Murtagh, F., Orlov, M. and Mirkin, B. (2018), “Qualitative judgement of
research impact: Domain taxonomy as a fundamental framework for
judgement of the quality of research”, Journal of Classification, 35(1), 5–
28.
7. Murtagh, F. and Farid, M. (2017), “Contextualizing Geometric Data Anal-
ysis and related data analytics: A virtual microscope for Big Data ana-
lytics”, Journal of Interdisciplinary Methodologies and Issues in Science,
Special Issue on Digital Contextualization, Vol. 3, 19 pp.
8. Murtagh, F., Spagat, M. and Restrepo, J.A. (2011), “Ultrametric Wavelet
Regression of Multivariate Time Series: Application to Colombian Conflict
Analysis”, IEEE Transactions on Systems, Man, and Cybernetics–Part A:
Systems and Humans, 41, 254–263.
9. WHO (2017), World Health Organisation, “Atlas of the African Health
Statistics”, http://www.aho.afro.who.int https://www.who.int
10. Zhongheng Zhang, Murtagh, F., Van Poucke, S. editors (2018), Big Data
Clinical Study and Its Implementation with R, AME Publishing Company,
Hong Kong.
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