Treffer: Logic-Based Association Rule Mining in XML Documents
Title:
Logic-Based Association Rule Mining in XML Documents
Authors:
Contributors:
Shen, Heng Tao, Li, Jinbao, Li, Minglu, Ni, Jun, Wang, Wei
Publisher Information:
Springer
Publication Year:
2006
Collection:
Victoria University Melbourne: VU Eprint Repository
Subject Terms:
280000 Information, Computing and Communication Sciences, 0801 Artificial Intelligence and Image Processing, 0803 Computer Software, 0806 Information Systems, School of Management and Information Systems, ResPubID11175, data mining, Web database system, eXtensible Markup Language, XML, knowledge discovery, Apriori algorithm, SQL system, DBMS-based mining process, database management system, XLogic-Miner, association rule mining, Logic-based database language
Document Type:
Buch
book part
Language:
unknown
Relation:
https://vuir.vu.edu.au/10661/; Liu, Hong-Cheu, Jamil, Hasan M and Zeleznikow, John ORCID logoorcid:0000-0002-8786-2644 (2006) Logic-Based Association Rule Mining in XML Documents. In: Advanced Web and Network Technologies, and Applications: APWeb 2006 International Workshops: XRA, IWSN, MEGA, and ICSE, Harbin, China, January 16-18, 2006. Proceedings. Shen, Heng Tao, Li, Jinbao, Li, Minglu, Ni, Jun and Wang, Wei, eds. Lecture Notes in Computer Science (3842). Springer, Berlin, Germany, pp. 97-106.
DOI:
10.1007/11610496_11
Availability:
Accession Number:
edsbas.4FCCD619
Database:
BASE
Weitere Informationen
In this paper, we propose a new framework, called XLogic- Miner, to mine association rules from XML data. We consider the generate-and-test and the frequent-pattern growth approaches. In XLogic-Miner, we propose an novel method to represent a frequent-pattern tree in an object-relational table and exploit a new join operator developed in the paper. The principal focus of this research is to demonstrate that association rule mining can be expressed in an extended datalog program and be able to mine XML data in a declarative way. We also consider some optimization and performance issues.