![](bg8.png)
framework consists of the data access and analytics
flows. The data access flow is to improve the availa-
bility of open data, while the analytics flow is to find
insights. A number of existing studies are reviewed
and the results generated by our analysis framework
are compared with those from traditional statistical
methods. Moreover, our results also cover the re-
search results from several other studies. The pro-
posed framework shows a more general approach
than the traditional statistical methods, and can be
applied to the other applications with spatiotemporal
data.
REFERENCES
Bentley, J.L., 1975. Multidimensional binary search trees
used for associative searching. Communications of the
ACM, 18(9), pp.509-517.
Bertot, J.C., Jaeger, P.T. and Grimes, J.M., 2010. Using
ICTs to create a culture of transparency: E-
government and social media as openness and anti-
corruption tools for societies. Government information
quarterly, 27(3), pp.264-271.
Crouse, D.L., Goldberg, M.S., Ross, N.A., Chen, H. and
Labrèche, F., 2010. Postmenopausal breast cancer is
associated with exposure to traffic-related air pollution
in Montreal, Canada: a case-control study. Environ-
mental health perspectives, 118(11), p.1578.
Dao, M.S. and Zettsu, K., 2015. Discovering Environmen-
tal Impacts on Public Health Using Heterogeneous Big
Sensory Data. In Proceedings of IEEE International
Congress on Big Data, pp. 741-744.
Delen, D., Fuller, C., McCann, C. and Ray, D., 2009.
Analysis of healthcare coverage: A data mining ap-
proach. Expert systems with applications, 36(2),
pp.995-1003.
Dicken, R.A., Rubby, S.M.F., Naz, S., Khaled, A.A.,
Rahman, S.A., Rahman, S. and Rahman, R.M., 2015.
Analysis and classification of respiratory health risks
with respect to air pollution levels. In Proceedings of
IEEE/ACIS International Conference on Software En-
gineering, Artificial Intelligence, Networking and Par-
allel/Distributed Computing, pp. 1-6.
Fotopoulou, E., Zafeiropoulos, A., Papaspyros, D.,
Hasapis, P., Tsiolis, G., Bouras, T., Mouzakitis, S. and
Zanetti, N., 2016. Linked data analytics in interdisci-
plinary studies: The health impact of air pollution in
urban areas. IEEE Access, 4, pp.149-164.
Hsieh, H.P., Lin, S.D. and Zheng, Y., 2015, August. Infer-
ring air quality for station location recommendation
based on urban big data. In Proceedings of ACM
SIGKDD International Conference on Knowledge
Discovery and Data Mining, pp. 437-446. ACM.
Hystad, P., Demers, P.A., Johnson, K.C., Carpiano, R.M.
and Brauer, M., 2013. Long-term residential exposure
to air pollution and lung cancer risk. Epidemiology,
24(5), pp.762-772.
Hystad, P., Villeneuve, P.J., Goldberg, M.S., Crouse, D.L.,
Johnson, K. and Canadian Cancer Registries Epidemi-
ology Research Group, 2015. Exposure to traffic-
related air pollution and the risk of developing breast
cancer among women in eight Canadian provinces: a
case–control study. Environment International, 74,
pp.240-248.
Payus, C., Sulaiman, N., Shahani, M. and Bakar, A.A.,
2013. Association rules of data mining application for
respiratory illness by air pollution database. Int J Basic
Appl Sci, 13(3), pp.11-16.
Pope III, C.A. and Dockery, D.W., 2006. Health effects of
fine particulate air pollution: lines that connect. Jour-
nal of the air & waste management association, 56(6),
pp.709-742.
Raaschou-Nielsen, O., Andersen, Z.J., Beelen, R., Samoli,
E., Stafoggia, M., Weinmayr, G., Hoffmann, B.,
Fischer, P., Nieuwenhuijsen, M.J., Brunekreef, B. and
Xun, W.W., 2013. Air pollution and lung cancer inci-
dence in 17 European cohorts: prospective analyses
from the European Study of Cohorts for Air Pollution
Effects. The Lancet Oncology, 14(9), pp.813-822.
Rousseeuw, P.J., 1987. Silhouettes: a graphical aid to the
interpretation and validation of cluster analysis. Jour-
nal of Computational and Applied Mathematics, 20,
pp.53-65.
Sahafizadeh, E. and Ahmadi, E., 2009. Prediction of air
pollution of Boushehr city using data mining. In Pro-
ceedings of International Conference on Environmen-
tal and Computer Science, pp. 33-36.
World Health Organization, 2009. Global health risks:
mortality and burden of disease attributable to selected
major risks.
World Health Organization, 2014. Burden of disease from
household air pollution for 2012.
Wen, Y. W., 2003, Two-Phase Spatiotemporal Models for
Air Pollution and Health. PHD dissertation in Depart-
ment of Information Management at National
Chengchi University, Taiwan.
DATA 2017 - 6th International Conference on Data Science, Technology and Applications
262