International journal of advanced smart convergence

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
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A Study on Efficient Memory Management Using Machine Learning Algorithm

  • Park, Beom-Joo (Department of Medical IT Marketing, Eulji University) ;
  • Kang, Min-Soo (Department of Medical IT Marketing, Eulji University) ;
  • Lee, Minho (Department of Food and Nutrition, Eulji University) ;
  • Jung, Yong Gyu (Department of Medical IT Marketing, Eulji University)
  • Received : 2017.02.22
  • Accepted : 2017.03.10
  • Published : 2017.03.31
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Abstract

As the industry grows, the amount of data grows exponentially, and data analysis using these serves as a predictable solution. As data size increases and processing speed increases, it has begun to be applied to new fields by combining artificial intelligence technology as well as simple big data analysis. In this paper, we propose a method to quickly apply a machine learning based algorithm through efficient resource allocation. The proposed algorithm allocates memory for each attribute. Learning Distinct of Attribute and allocating the right memory. In order to compare the performance of the proposed algorithm, we compared it with the existing K-means algorithm. As a result of measuring the execution time, the speed was improved.

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References

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