Abstract
During decision making, the end user wishes to make optimum choices from a larger space available. A skyline query proves helpful in this scenario. It is a powerful data summarization query which satisfies multiple user preferences presenting the user a precise set to take effective decisions. However as the size of the datasets and the number of user preferences increase, the resultant skylines become huge which diminishes the very cause behind such queries as the large skyline tend to be impractical to take effective decisions. In this paper, we have addressed this issue by proposing the concept of ‘skyline visuals’. The proposed visuals present the required skyline to the end user in a pictorial form assisting the end user to take best decisions. The skyline visuals also present the user various types of skylines exploring various other parallel scenarios available for decision making. The end user can also interact with the presented skyline to make more effective decisions. This feature of the skyline visuals enhances the user experience.
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Kulkarni, R.D., Gondhalekar, S.K., Kanade, D.M. (2023). Effective Decision Making Through Skyline Visuals. In: Tripathi, A.K., Anand, D., Nagar, A.K. (eds) Proceedings of World Conference on Artificial Intelligence: Advances and Applications. WWCA 1997. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-99-5881-8_10
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DOI: https://doi.org/10.1007/978-981-99-5881-8_10
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