Work

A Comparative Study of a New Associative Classification Approach for Mining Rare and Frequent Classification Rules

Year: 2011

Type: conference-paper

Source: Communications in computer and information science

DOI: 10.1007/978-3-642-23141-4_5

Authors: Ines Bouzouita, Michel Liquiere, Samir Elloumi, Ali Jaoua

Institutions: Tunis University, Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier, Qatar University

Language: English

Topic: Data Mining Algorithms and Applications

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W61040477

FWCI: 0.209

Cites: 15

Cited by: 2

Related to: 10