A map-reduce based approach for mining group stock portfolio

Chun Hao Chen, Chao Chun Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution


In this paper, the map-reduce technique is utilized for speeding up the mining process and derived as similar results as our previous approach. The chromosome representation consists of four parts that are a mapper number, grouping part, stock part and portfolio part. According to mapper number, chromosomes in population are divided into subsets and sent to respective mappers. Fitness evaluation and genetic operations are the same with our previous approach, and executed on reducers. The evolution process is repeated until reaching the terminal conditions. Experiments are conducted on a real dataset to show the performance of proposed approach.

Original languageEnglish
Title of host publicationProceedings of the ASE BigData and SocialInformatics 2015, ASE BD and SI 2015
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450337359
Publication statusPublished - 2015 Oct 7
EventASE BigData and SocialInformatics, ASE BD and SI 2015 - Kaohsiung, Taiwan
Duration: 2015 Oct 72015 Oct 9

Publication series

NameACM International Conference Proceeding Series


OtherASE BigData and SocialInformatics, ASE BD and SI 2015

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications


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