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Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)
With the rapid development of industrial automation, there are huge amounts of duplicate data refer to the same entity in the data sets have brought enormous challenges in data analysis. To accommodate the entity recognition of huge amounts of data, this paper presents a parallel computing method for entity recognition based on MapReduce. Through the detailed introduction to the MapReduce framework, running the applications on the Hadoop platform and parallel processing data sets to recognizedoi:10.2991/icence-16.2016.122 fatcat:gr6432w42jh6diwagqcfzkhnfi