@inproceedings{ff45c69c45df4a78973200c7a9ce3052,
title = "Fast and memory efficient mining of high utility itemsets in data streams",
abstract = "Efficient mining of high utility itemsets has become one of the most interesting data mining tasks with broad applications. In this paper, we proposed two efficient one-pass algorithms, MHUI-BIT and MHUI-TID, for mining high utility itemsets from data streams within a transaction-sensitive sliding window. Two effective representations of item information and an extended lexicographical tree-based summary data structure are developed to improve the efficiency of mining high utility itemsets. Experimental results show that the proposed algorithms outperform than the existing algorithms for mining high utility itemsets from data streams.",
author = "Li, {Hua Fu} and Huang, {Hsin Yun} and Chen, {Yi Cheng} and Liu, {Yu Jiun} and Lee, {Suh Yin}",
year = "2008",
doi = "10.1109/ICDM.2008.107",
language = "???core.languages.en_GB???",
isbn = "9780769535029",
series = "Proceedings - IEEE International Conference on Data Mining, ICDM",
pages = "881--886",
booktitle = "Proceedings - 8th IEEE International Conference on Data Mining, ICDM 2008",
note = "8th IEEE International Conference on Data Mining, ICDM 2008 ; Conference date: 15-12-2008 Through 19-12-2008",
}