Work

Learning Certifiably Optimal Rule Lists

Year: 2017

Type: conference-paper

Source: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)

DOI: 10.1145/3097983.3098047

Authors: Elaine Angelino, Nicholas Larus-Stone, Daniel Alabi, Margo Seltzer, Cynthia Rudin

Institutions: University of California, Berkeley, Harvard University, Duke University

Language: English

Topic: Data Mining Algorithms and Applications

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2744365997

FWCI: 8.801

Cites: 48

Cited by: 104

Related to: 10