Majority Classification by Means of Association Rules

Full text not available from this repository. Send a request to the author for a copy of the paper
Item Type: Proceeding
MIUR type: Proceedings > Proceedings
Title: Majority Classification by Means of Association Rules
Authors string: Baralis E., Garza P.
University authors:
Page Range: pp. 35-46
Referee type: Not specified type
Publisher: Springer Berlin Heidelberg
ISSN: 0302-9743
Volume: 2838
Event Title: 7th European Conference on Principles and Practice of Knowledge Discovery in Databases
Event Location: Cavtat-Dubrovnik; Croatia
Event relevance: International
Abstract: Associative classification is a well-known technique for structured data classification. Most previous work on associative classification based the assignment of the class label on a single classification rule. In this work we propose the assignment of the class label based on simple majority voting among a group of rules matching the test case. We propose a new algorithm, L3M, which is based on previously proposed algorithm L3. L3 performed a reduced amount of pruning, coupled with a two step classification process. L3M combines this approach with the use of multiple rules for data classification. The use of multiple rules, both during database coverage and classification, yields an improved accuracy
Date: 2003
Status: Published
Language of publication: English
Uncontrolled Keywords:
Departments (original): DAUIN - Control and Computer Engineering
Departments: DAUIN - Department of Control and Computer Engineering
Related URLs:
Subjects: Area 09 - Ingegneria industriale e dell'informazione > SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
Date Deposited: 15 Feb 2007 17:22
Last modification data (IRIS): 07 Jan 2014 11:24:46
Update date (PORTO): 24 Oct 2014 12:15
Id Number (DOI): 10.1007/978-3-540-39804-2_6
Link resolver URL: Linksolver link

This field presents the citations number present on Scopus and Web of Science databases e links to the remote records. Also Google Scholar link is present.

There may be discrepancies with respect to the data in databases for the following reasons:

  • Differences from fields (title, year,...) in UGOV and those in the databases.
  • PORTO citations are extracted monthly. The db is in real time
  • The WoS citation number reflect the collections subscribed by Politecnico (Science citation index Expanded and Conference Proceedings Citation Index)

For informations contact scrivia/porto


Actions (login required)

View item (admin reserved) View item (admin reserved)