@inproceedings{ccab06129fc24e35827903634be8c78f,
title = "A three-scan algorithm to mine high on-shelf utility itemsets",
abstract = "In this paper, we handle a new kind of patterns named high on-shelf utility itemsets, which considers not only individual profit and quantity of each item in a transaction but also common on-shelf time periods of a product combination. We propose a three-scan mining approach to effectively and efficiently discover high on-shelf utility itemsets. The proposed approach adopts an itemset-generation mechanism to prune redundant candidates early and to systematically check the itemsets from transactions. The experimental results on synthetic datasets also show the proposed approach has a good performance.",
keywords = "data mining, high utility itemsets, on-shelf data, utility mining",
author = "Lan, {Guo Cheng} and Hong, {Tzung Pei} and S. Tseng",
year = "2010",
month = sep,
day = "17",
doi = "10.1007/978-3-642-12101-2_36",
language = "English",
isbn = "9783642121005",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 2",
pages = "351--358",
booktitle = "Intelligent Information and Database Systems - Second International Conference, ACIIDS, Proceedings",
edition = "PART 2",
note = "null ; Conference date: 24-03-2010 Through 26-03-2010",
}