Indian Journal of Science and Technology
DOI: 10.17485/ijst/2016/v9i24/95993
Year: 2016, Volume: 9, Issue: 24, Pages: 1-5
Original Article
Nam-Kyu Park1 and Yoon-Su Jeong2*
1 Korea Institute of Science and Technology Information, [email protected]
2 Department of Information Communication Engineering, [email protected]
*Author for correspondence
Yoon-Su Jeong
Department of Information Communication Engineering,
Email: [email protected]
Background/Objectives: With the advancement of mobile phone technology, services such as SNS and Facebook have become more popular and has dramatically increased the use of Big data. However, there are not many users who are satisfied the search results of their desired data. Methods/Statistical Analysis: This paper suggests a scheme that group-manages Big data by considering the similarity of data after first allocating priority to the data among a large volume of Big data. Findings: The suggested scheme pursues high accuracy and short processing time of the search results of Big data. In particular, the suggested scheme has faster processing velocity than existing scheme as it group-manages Big data by grouping the priority information according to the similarity allocated to data. Application/Improvements: The performance evaluation results indicated that the suggested scheme showed processing time 11.1% shorter and accuracy 8.3% better than the existing scheme on average
Keywords: Big data, Data Management, Group Information, Mobile Phone, Priority
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