Location recommendation system using big data
- Authors
- Lee, K.-Y.; Kang, J.-J.; Ahn, H.-K.; Kim, K.-H.; Choi, G.-S.; Choi, S.-J.; Oh, S.-J.
- Issue Date
- 2014
- Publisher
- Science and Engineering Research Support Society
- Keywords
- Big Data; Position; SNS; Text Mining
- Citation
- International Journal of Multimedia and Ubiquitous Engineering, v.9, no.5, pp.317 - 325
- Journal Title
- International Journal of Multimedia and Ubiquitous Engineering
- Volume
- 9
- Number
- 5
- Start Page
- 317
- End Page
- 325
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/12978
- DOI
- 10.14257/ijmue.2014.9.5.32
- ISSN
- 1975-0080
- Abstract
- Active SNS and the amount of data which increases very fast these days, at WEF, the first remarkable technology of arising 10th technology of 2012 is called Big Data. Big Data extracts the value of collected, saved, analyzed, and processed large data by using database management tool. In this paper, the data structured and unstructured on SNS has set its position through abstracting significant information from the Big Data technology. From this Big Data, more information can be achieved to set position by abstracting materials from unstructured data. © 2014 SERSC.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - IT융합대학 > 전자공학과 > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/12978)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.