vix.ing · top · new · best · stats · spec

Weighing the techniques for data optimization in a database

2022/03/17 by Anagha Radhakrishnan, Radhakrishnan, Anagha
Computer Science · #Advanced Database Systems and Queries #Constraint Satisfaction and Optimization #Data Management and Algorithms #Databases (cs.DB) #FOS: Computer and information sciences

paper · pdf · doi:10.48550/arxiv.2203.09236

openalex publication_date 2022/03/17 · openalex created_date 2022/04/03 · openalex updated_date 2026/07/28

Abstract

A set of preferred records can be obtained from a large database in a multi-criteria setting using various computational methods which either depend on the concept of dominance or on the concept of utility or scoring function based on the attributes of the database record. A skyline approach relies on the dominance relationship between different data points to discover interesting data from a huge database. On the other hand, ranking queries make use of specific scoring functions to rank tuples in a database. An experimental evaluation of datasets can provides us with information on the effectiveness of each of these methods.

Related