@inproceedings{5a031c2f449a4d8a919065ea655527ac,
title = "A parallel algorithm to generate formal concepts for large data",
abstract = "One of the most effective methods to deal with large data for data analysis and data mining is to develop parallel algorithm. Although Formal concept analysis is an effective tool for data analysis and knowledge discovery, it's very hard for concept lattice structures to face the complexity of very large data. So we propose a new parallel algorithm based on the NextClosure algorithm to generate formal concepts for large data.",
author = "Huaiguo Fu and {Mephu Nguifo}, Engelbert",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2004.; null ; Conference date: 23-02-2004 Through 26-02-2004",
year = "2004",
doi = "10.1007/978-3-540-24651-0_33",
language = "English",
isbn = "3540210431",
series = "Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)",
publisher = "Springer",
pages = "394--401",
editor = "Peter Eklund",
booktitle = "Concept Lattices",
address = "United States",
}