@inproceedings{236bcc790c1a48508014be6bc7e633a0,
title = "Updating high average-utility itemsets in dynamic databases",
abstract = "In this paper, a maintenance algorithm for average-utility mining is proposed to update derived high average-utility itemsets in dynamic databases. It first calculates the count difference of modified itemsets and then partitions them into four parts according to whether they are high upper-bound average-utility itemsets in the original database and whether their count difference is positive or negative. Each part is then processed in its own way. Experimental results show the proposed maintenance algorithm runs faster than the two-phase approach for mining high average-utility itemsets in dynamic databases.",
keywords = "Utility mining, average utility, dynamic database, maintenance algorithm, two-phase approach",
author = "Lan, {Guo Cheng} and Lin, {Chun Wei} and Hong, {Tzung Pei} and Tseng, {Vincent Shin-Mu}",
year = "2011",
month = sep,
day = "9",
doi = "10.1109/WCICA.2011.5970653",
language = "English",
isbn = "9781612847009",
series = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",
pages = "932--936",
booktitle = "WCICA 2011 - 2011 World Congress on Intelligent Control and Automation, Conference Digest",
note = "null ; Conference date: 21-06-2011 Through 25-06-2011",
}