Top K Dominating Queries on Incomplete Data with Priorities

Top K dominating query returns the k objects that are dominated in a dataset. Finding dominated elements on incomplete dataset is more complicated than in case of complete dataset. In the real time datasets the dataset can be incomplete due to various reasons such as data loss, privacy preservation or awareness problem etc. In this paper we aims to find top k elements from an incomplete dataset by providing priority values to each dimension in the data object. Skyline based algorithm is applied for that purpose. Since the priority value is used while determining the dominance this method return the most suitable and efficient result than other previous methods. The output will be more preferable according to the users purpose. Dr. Prabha Shreeraj Nair | Prof. Dr. G. K. Awari "Top-K Dominating Queries on Incomplete Data with Priorities" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-1 , December 2017, URL: https://www.ijtsrd.com/papers/ijtsrd7056.pdf