Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/13930
Title: ArmSquare: An Association Rule Miner Based on Multidimensional Numbered Information Spaces
Authors: MITOV, Iliya 
IVANOVA, Krassimira 
DEPAIRE, Benoit 
VANHOOF, Koen 
Issue Date: 2011
Publisher: Curran Associates, Inc.
Source: Norbisrath, Ulrich; Lorenz, Pascal (Ed.). Proceedings of the 1st International Conference on Advances in Information Mining and Management, p. 143-148
Abstract: In this article, we propose a simple approach for association rule mining, which uses the possibilities of the multidimensional numbered information spaces as a storage structures. The main focus in the realization of ArmSquare is using the advantages of such spaces, i.e., the possibility to build growing space hierarchies of information elements, the great power for building interconnections between information elements stored in the information base, and the possibility to change searching with direct addressing in well structured tasks. The tested types of implementations of realized tool show the vividness of proposed approach.
Keywords: Association Rule Mining; Market Basket Analysis; Multidimensional Numbered Information Spaces
Document URI: http://hdl.handle.net/1942/13930
ISBN: 9781618397027
Category: C1
Type: Proceedings Paper
Appears in Collections:Research publications

Files in This Item:
File Description SizeFormat 
ArmSquare an association rule miner.pdf176.12 kBAdobe PDFView/Open
Show full item record

Page view(s)

20
checked on May 25, 2022

Download(s)

6
checked on May 25, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.