Work

Grouping students in educational settings

Year: 2014

Type: conference-paper

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

DOI: 10.1145/2623330.2623748

Authors: Rakesh Agrawal, Behzad Golshan, Evimaria Terzi

Institutions: Microsoft (United States), Boston University

Language: English

Topic: Game Theory and Voting Systems

Subfield: Economics and Econometrics

Field: Economics, Econometrics and Finance

Domain: Social Sciences

SDG: Quality education

Open Access status: closed

Funders: National Science Foundation, Microsoft Research, Division of Computer and Network Systems, Division of Information and Intelligent Systems

Awards: G4221594695, III: Small: Entity Selection and Ranking for Data-Mining Applications, CAREER: On the identification of collections with complex objectives, G617035503

OpenAlex ID: W2013939626

FWCI: 26.9

Cites: 35

Cited by: 57

Related to: 10