BIGMiner: a fast and scalable distributed frequent pattern miner for big data-Reference-Cited by-同舟云学术

BIGMiner: a fast and scalable distributed frequent pattern miner for big data

Published:2018-02-09 Issue:3 Volume:21 Page:1507-1520
ISSN:1386-7857
Container-title:Cluster Computing
language:en
Short-container-title:Cluster Comput

Author:

Chon Kang-Wook,Kim Min-Soo

Funder

Korea government (MSIT), Institute for Information & communications Technology Promotion

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Link

http://link.springer.com/article/10.1007/s10586-018-1812-0/fulltext.html

Reference34 articles.

1. Aggarwal, C.C., Han, J.: Frequent Pattern Mining. Springer, New York (2014)

2. Agrawal, R., Srikant, R.: Fast algorithms for mining association rules in large databases. In: VLDB, pp. 487–499 (1994). http://www.vldb.org/conf/1994/P487.PDF

3. Apache Hadoop (2006). http://hadoop.apache.org

4. Apache Mahout (2013). http://mahout.apache.org

5. Apache Spark MLlib (2014). http://spark.apache.org/mllib/

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