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Digital Services Development Using Statistics Tools to Emphasize Pollution Phenomena

Part of the Lecture Notes in Business Information Processing book series (LNBIP,volume 279)


This paper presents a perspective related to information service integration for pollution awareness evaluation. The proposed methodology is based on indirect information analysis as retrieved from available literature over time. A time series - type analysis highlighting usage of pollution-related terms is employed. The displayed impact of pollution is evaluated based on public awareness, exposed through digitalized available publications. Estimation techniques and tools are also employed in order to evaluate the exact impact of pollution related events on society. The proposed methodology fosters the design of improved environmental monitoring smart services, specifically addressing the development of data processing components in information sub-systems of EISs (Enterprise Information Systems).


  • Digital transformation
  • Business process digitalization
  • Digital information services
  • Pollution events

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The research presented in this paper is supported by the DATA4WATER Project: H2020-TWINN-2015, Project ID: 690900, Funded under: H2020-EU.4.b. - Twinning of research institutions.

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Correspondence to Costin Gabriel Chiru .

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Chiru, C.G., Mocanu, M.I., Drăgoicea, M., Ioniţă, A.D. (2017). Digital Services Development Using Statistics Tools to Emphasize Pollution Phenomena. In: Za, S., Drăgoicea, M., Cavallari, M. (eds) Exploring Services Science. IESS 2017. Lecture Notes in Business Information Processing, vol 279. Springer, Cham.

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