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: http://www.ijtsrd.com/papers/ijtsrd7056.pdf
Article URL:
http://www.ijtsrd.com/computer-science/other/7056/top-k-dominating-queries-on-incomplete--data-with-priorities/dr-prabha-shreeraj-nair
