@inproceedings{ef370aa034fe40bdb897ffa3a9d144a7,
title = "Mining high utility mobile sequential patterns in mobile commerce environments",
abstract = "Mining user behaviors in mobile environments is an emerging and important topic in data mining fields. Previous researches have combined moving paths and purchase transactions to find mobile sequential patterns. However, these patterns cannot reflect actual profits of items in transaction databases. In this work, we explore a new problem of mining high utility mobile sequential patterns by integrating mobile data mining with utility mining. To the best of our knowledge, this is the first work that combines mobility patterns with high utility patterns to find high utility mobile sequential patterns, which are mobile sequential patterns with their utilities. Two tree-based methods are proposed for mining high utility mobile sequential patterns. A series of analyses on the performance of the two algorithms are conducted through experimental evaluations. The results show that the proposed algorithms deliver better performance than the state-of-the-art one under various conditions.",
keywords = "High utility mobile sequential pattern, mobile environment, mobility pattern mining, utility mining",
author = "Shie, {Bai En} and Hsiao, {Hui Fang} and S. Tseng and Yu, {Philip S.}",
year = "2011",
month = apr,
day = "28",
doi = "10.1007/978-3-642-20149-3_18",
language = "English",
isbn = "9783642201486",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 1",
pages = "224--238",
booktitle = "Database Systems for Advanced Applications - 16th International Conference, DASFAA 2011, Proceedings",
edition = "PART 1",
note = "16th International Conference on Database Systems for Advanced Applications, DASFAA 2011 ; Conference date: 22-04-2011 Through 25-04-2011",
}