@inproceedings{90dc450eeab64a8595a97cd9817e92e8,
title = "Metarule-Guided Mining of Multi-Dimensional Association Rules Using Data Cubes",
abstract = "In this paper, we employ a novel approach to metarule-guided, multi-dimensional association rule mining which explores a data cube structure. We propose algorithms for metarule-guided mining: given a metarule containing p predicates, we compare mining on an n-dimensional (w-D) cube structure (where p < n) with mining on smaller multiple p-dimensional cubes. In addition, we propose an efficient method for precomputing the cube, which takes into account the constraints imposed by the given metarule.",
author = "Micheline Kamber and Jiawei Han and Chiang, {Jenny Y.}",
note = "Publisher Copyright: Copyright {\textcopyright} 1997, American Association for Artificial Intelligence (www.aaai.org). All rights reserved.; 3rd International Conference on Knowledge Discovery and Data Mining, KDD 1997 ; Conference date: 14-08-1997 Through 17-08-1997",
year = "1997",
language = "English (US)",
series = "Proceedings - 3rd International Conference on Knowledge Discovery and Data Mining, KDD 1997",
publisher = "American Association for Artificial Intelligence (AAAI) Press",
pages = "207--210",
editor = "David Heckerman and Heikki Mannila and Daryl Pregibon and Ramasamy Uthurusamy",
booktitle = "Proceedings - 3rd International Conference on Knowledge Discovery and Data Mining, KDD 1997",
address = "United States",
}