Abstract
In goal oriented problems, decision-making is a crucial aspect aiming at enhancing the user’s ability to make decisions. The application of agent-based decision aid in the e-commerce field should help customers to make the right choice giving also to vendors the possibility to predict the purchasing behavior of consumers. The capability of extracting value from data is a relevant issue to evaluate decision criteria, and it is as difficult as volume and velocity of data increase. In this paper agents are enabled to make decisions accessing in the Cloud huge amount of data collected from pervasive devices.
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Amato, A., Di Martino, B., Venticinque, S. (2013). Agent-Based Decision Support for Smart Market Using Big Data. In: Aversa, R., Kołodziej, J., Zhang, J., Amato, F., Fortino, G. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2013. Lecture Notes in Computer Science, vol 8286. Springer, Cham. https://doi.org/10.1007/978-3-319-03889-6_29
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DOI: https://doi.org/10.1007/978-3-319-03889-6_29
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