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The Application of FP-Growth Algorithm Based on Distributed Intelligence in Wisdom Medical Treatment.
- Source :
-
International Journal of Pattern Recognition & Artificial Intelligence . Apr2017, Vol. 31 Issue 4, p-1. 11p. - Publication Year :
- 2017
-
Abstract
- FP-Growth algorithm is an algorithm of association rules that does not generate a set of candidate, so it has very high practical value in face of the rapid growth of data volume in wisdom medical treatment. Because FP-Growth is a memory-resident algorithm, it will appear to be powerless when it is used for massive data sets. The paper combines Hadoop and FP-Growth algorithm and through the actual analysis of traditional Chinese medicine (TCM) data compares the performance in two different environments of stand-alone and distributed. The experimental results show that FP-Growth algorithm has a great advantage in the processing and execution of massive data after the MapReduce parallel model, so that it will have better development prospects for intelligent medical treatment. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02180014
- Volume :
- 31
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- International Journal of Pattern Recognition & Artificial Intelligence
- Publication Type :
- Academic Journal
- Accession number :
- 121081900
- Full Text :
- https://doi.org/10.1142/S0218001417590054