Graph based knowledge discovery using MapReduce and SUBDUE algorithm

作者：

Highlights：

• Formulated the problem of common skill-set extraction from resumes.

• Proposed a MapReduce algorithm to convert pre-processed data into conceptual graph.

• Applying SUBDUE, a graph mining algorithm to the skill-sets analytics domain to find common skills.

• Proposed approach performance is evaluated through experimental results on real world data sets.

摘要

Highlights•Formulated the problem of common skill-set extraction from resumes.•Proposed a MapReduce algorithm to convert pre-processed data into conceptual graph.•Applying SUBDUE, a graph mining algorithm to the skill-sets analytics domain to find common skills.•Proposed approach performance is evaluated through experimental results on real world data sets.

论文关键词：Analytics,Big data,Conceptual graph,Graph mining,HDFS,MapReduce,Resumes,Skill,SUBDUE

论文评审过程：Received 23 July 2016, Accepted 3 August 2017, Available online 12 August 2017, Version of Record 20 September 2017.

论文官网地址：https://doi.org/10.1016/j.datak.2017.08.001