@inproceedings{5c567080a3e24808acb226d9cf1f205e,
title = "An algorithm for constrained association rule mining in semi-structured data",
abstract = "The need for sophisticated analysis of textual documents is becoming more apparent as data is being placed on the Web and digital libraries are surfacing. This paper presents an algorithm for generating constrained association rules from textual documents. The user species a set of constraints, concepts and/or structured values. Our algorithm creates matrices and lists based on these prespecied constraints and uses them to generate large itemsets. Because these matrices are small and sparse, we are able to quickly generate higher order large itemsets. Further, since we maintain concept relationship information in a concept library, we can also generate rulesets involving concepts related to the initial set of constraints.",
author = "Lisa Singh and Bin Chen and Rebecca Haight and Peter Scheuermann",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1999.; 3rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 1999 ; Conference date: 26-04-1999 Through 28-04-1999",
year = "1999",
doi = "10.1007/3-540-48912-6_21",
language = "English (US)",
isbn = "3540658661",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "148--158",
editor = "Ning Zhong and Lizhu Zhou",
booktitle = "Methodologies for Knowledge Discovery and Data Mining - 3rd Pacific-Asia Conference, PAKDD 1999, Proceedings",
}