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DOI: 10.14569/IJACSA.2018.090444
PDF

Selection of Important Sets by using K-Skyband Query for Sets

Author 1: Md. Anisuzzaman Siddique
Author 2: Asif Zaman
Author 3: Yasuhiko Morimoto

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 4, 2018.

  • Abstract and Keywords
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Abstract: In this paper, we consider “sets” selection problem from a database. In conventional selection problem, which is “objects” selection problem, the skyline query has been utilized, since it can retrieve a set of important objects where each object isn’t dominated by another object in a database. However, it is not effective when we have to select important sets, each of which contains more than one objects. Thus, we consider a “set skyline query” that retrieves non-dominated sets of objects from a database, which we call “object sets.” The K-skyband query is a popular variant of the skyline query. It retrieves a set of objects, each of which is not dominated by K other objects. In this paper, we propose “K-Skyband set query.” It retrieves important sets instead of objects. We investigated the properties of the query, as well as developing pruning strategies to avoid the unnecessary enumeration of objectsets and comparisons among them. Intensive experiments have been performed to examine the implemented algorithm. The results demonstrate the effectiveness and efficiency of the proposed algorithm.

Keywords: Set Selection; Skyline Query; Skyline Set Query; Skyband Query; Skyband-set Query

Md. Anisuzzaman Siddique, Asif Zaman and Yasuhiko Morimoto, “Selection of Important Sets by using K-Skyband Query for Sets” International Journal of Advanced Computer Science and Applications(IJACSA), 9(4), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090444

@article{Siddique2018,
title = {Selection of Important Sets by using K-Skyband Query for Sets},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090444},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090444},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {4},
author = {Md. Anisuzzaman Siddique and Asif Zaman and Yasuhiko Morimoto}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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