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Incremental FP-Growth Mining Strategy for Dynamic...
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Incremental FP-Growth Mining Strategy for Dynamic threshold Value and Database based on Mapreduce

Abstract

With the coming of the Big Data era, data mining has been confronted with new opportunities and challenges. Some limitations are exposed when traditional association rule mining algorithms are used to deal with large-scale data. In the Apriori algorithm, scanning the external storage repeatedly leads to high I/O load and brings about low performance. As for FP-Growth algorithm, the effectiveness is limited by internal memory size because mining …

Authors

Wei X; Ma Y; Zhang F; Liu M; Shen W

Pagination

pp. 271-276

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

May 1, 2014

DOI

10.1109/cscwd.2014.6846854

Name of conference

Proceedings of the 2014 IEEE 18th International Conference on Computer Supported Cooperative Work in Design (CSCWD)