Abstract
The bigdata analysis has an issue of high knowledge creation. In this paper first, we define personal big data, and using personal bigdata created by user activity we try to create high knowledge about the user. We have created personal bigdata analytic engine and knowledge digest engine for high knowledge creation and personalized service. The engine is used to collect, process and analyize personal big data. And In the process we refine, associate, and fuse data for analysis. In this paper, we show the process of analyzing personal big data, and detailed structure of analyzing engine for persoanl big data. High knowledge about the user will lead to better personalized services, and better adaptive services.
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Kim, Y., Moon, J., Lee, HJ., Bae, CS. (2012). Knowledge Digest Engine for Personal Bigdata Analysis. In: Park, J., Jin, Q., Sang-soo Yeo, M., Hu, B. (eds) Human Centric Technology and Service in Smart Space. Lecture Notes in Electrical Engineering, vol 182. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5086-9_34
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DOI: https://doi.org/10.1007/978-94-007-5086-9_34
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-5085-2
Online ISBN: 978-94-007-5086-9
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