@inproceedings{154b92c24c604a65bd09543d4646ef3c,
title = "Categorical data skyline using classification tree",
abstract = "Skyline query is an effective method to process large-sized multi-dimensional data sets as it can pinpoint the target data so that dominated data (say, 95% of data) can be efficiently excluded as unnecessary data objects. However, most of the conventional skyline algorithms were developed to handle numerical data. Thus, most of the text data were excluded from being processed by the algorithms. In this paper, we pioneer an entirely new domain for skyline query-namely, the categorical data-with which the corresponding ranking measures for the skyline queries are developed. We tested our proposed algorithm using the ACM Computing Classification System.",
keywords = "Skyline, categorical data, classification tree, domination",
author = "Wookey Lee and Song, {Justin Jongsu} and Leung, {Carson K.S.}",
year = "2011",
doi = "10.1007/978-3-642-20291-9_19",
language = "English",
isbn = "9783642202902",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "181--187",
booktitle = "Web Technologies and Applications - 13th Asia-Pacific Web Conference, APWeb 2011, Proceedings",
note = "13th Asia-Pacific Conference on Web Technology, APWeb 2011 ; Conference date: 18-04-2011 Through 20-04-2011",
}