Contextual Analysis of Transactional Data

  • Vangalur AlagarEmail author
  • Kaiyu Wan
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1075)


Data analysis is often attempted by business stakeholder on transactional databases, that are maintained within the overall enterprise system, in order to understand patterns of user behavior, transaction types, and their impact on the utility and value of interest to the enterprise. Statistical and machine learning techniques are often used to make predictions and decisions. In order to guide the business stakeholder ask the right questions and guide the query processor in fetching the most accurate answers to the questions we introduce formal approaches in which the five dimensional context information What?, Why?, Where?, When?, Who? are captured. When the transactions are contextually qualified both querying and analysis of data on their responses will lead to efficient and accurate discovery of interesting patterns for decision making.


Contextual analysis Information system Formalization Transactional data Data analysis 



The first author gratefully acknowledges the support received through a Discovery Grant awarded by Natural Sciences and Engineering Research Council (NSERC) Canada.


  1. 1.
    Alsaig, A., Alagar, V., Ormandjieva, O.: A critical analysis of the V-model of big data. In: 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom/BigDataSE), pp. 1809-1813 (2018)Google Scholar
  2. 2.
    Artikis, A., Sergot, M., Paliouras, G.: Reactive reasoning with the event calculus. In: arXiv:1505.05364v (cs.AI), pp. 1–7 (2015)
  3. 3.
    Bragaglia, S., Chesani, F., Mello, P.: Reactive event calculus for monitoring global computing applications. In: Sergot Festschrift, pp. 123–146. Springer, Berlin (2012)CrossRefGoogle Scholar
  4. 4.
    Bernstein, P., Haas, L.: Information integration in the enterprise. Commun. ACM 51(9), 72–79 (2008)CrossRefGoogle Scholar
  5. 5.
    Dey, A.K., Abowd, G.D., Salber, D.: A context-based infrastructure for smart environments. In: Managing Interactions in Smart Environments, pp. 114–128. Springer (2000)Google Scholar
  6. 6.
    Jepson, P., Hushlak, A.: Big data and environmental sustainability: a conversation starter. In: Working Paper Smith School Working Paper Series, University of Oxford, vol. 14-04 (2014)Google Scholar
  7. 7.
    Kowlaski, R., Sergot, M.: A logic based calculus of events. New Gener. Comput. 4(1), 67–96 (1986)CrossRefGoogle Scholar
  8. 8.
    McCarthy, J., Buvac, S.: Formalizing Contexts (expanded notes). In: Technical Report, Stanford University (1997)Google Scholar
  9. 9.
    Schönberger, M., Cukier, V.: Big data: a revolution that will transform how we live, work, and think. Eamon Dolan/Houghton Mifflin Harcourt (2013)Google Scholar
  10. 10.
    Siddiqa, A., Hashem, I., Yaqoob, I., Marjani, M., Shamshirband, S., Gani, A., Nasaruddin, F.: A survey of big data management: taxonomy and state-of-the-art. J. Netw. Comput. Appl. 71, 151–166 (2016)CrossRefGoogle Scholar
  11. 11.
    Viceconti, M., Hunter, P., Hose, R.: Big data, big knowledge: big data for personalized healthcaret. IEEE J. Biomed. Health Inf. 19(4), 1209–1215 (2016)CrossRefGoogle Scholar
  12. 12.
    Wan, K.: Lucx: lucid enriched with context. In: Proceedings of Proceedings of 2006 International Conference on Computational Intelligence and Security (CIS2006), Guangzhou, PRC, 03–06 November 2006, pp. 1523–1527 (2006). (also to appear in Lecture Notes in Artificial Intelligence)Google Scholar
  13. 13.
    Wan, K.,Alagar, V.: Integrating context-awareness and trustworthiness in IoT descriptions. In: Proceedings IEEE International Conference on Internet of Things, Beijing, China, pp. 1168–1174, August 2013Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Concordia UniversityMontrealCanada
  2. 2.Xi’an Jiaotong-Liverpool UniversitySuzhouPeople’s Republic of China

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