Work

Frequent Itemset Mining for Big Data

Year: 2013

Type: conference-paper

Source: IEEE International Conference on Big Data (BigData)

DOI: 10.1109/bigdata.2013.6691742

Authors: Sandy Moens, Emin Aksehirli, Bart Goethals

Institution: University of Antwerp

Language: English

Topic: Data Mining Algorithms and Applications

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2079931838

FWCI: 13.31

Cites: 32

Cited by: 218

Related to: 9