Volume : IV, Issue : VIII, August - 2014
Apriori Rule Based Continuous Processing of Preference Queries
P. Kiruthika
Abstract :
During the course of this project, the frequency value is found using ranking function. This concept is used in Real Estate Property Management Application. Hence this web application is useful to the users who buying property can get the accurate rank value with highest priority. Already we have a ranking function which is based upon Top–k query and Skyline query algorithm that provides the approximate ranking value. Top–k dominating queries use an intuitive scoring function which ranks multidimensional points with respect to their dominance power, i.e., the number of points that a point dominates. The k points with the best (e.g., highest) scores are returned to the user. Both top–k and skyline queries have been studied in a streaming environment, where changes to the data set are very frequent. In comparison to continuous top–k and skyline queries, continuous top–k dominating queries pose additional challenges. Two exact algorithms ( EVA [Event Based Algorithm], ADA [Advanced Algorithm] ) are studied, and among them ADA, which is enhanced with additional optimization techniques, shows the best overall performance.
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DOI : 10.36106/ijar
Cite This Article:
P.Kiruthika Apriori Rule Based Continuous Processing of Preference Queries Indian Journal of Applied Research, Vol.4, Issue.8 August 2014
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P.Kiruthika Apriori Rule Based Continuous Processing of Preference Queries Indian Journal of Applied Research, Vol.4, Issue.8 August 2014
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