Presentation | 2013/7/11 The Case Study of Privacy-Preserving Data Mining without Common Identification from the JPHC Study Data Set SHIGETA IKUJI, MAKOTO KAWAMURA, TAKASHI UOZUMI, TAKAMI AZUMA, HIROAKI KIKUCHI, MANAMI INOUE, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In the fields of medical information, an integration of the multiple data sets will lead more accu-rate and effective results in comparison to the research using one data set. Medical information integration has a risk of disclosure of confidential information and hence datasets don't have the common identification information in order to reduce possible risk factor to determine the identity of an individual. In this paper, we will examine the condition of privacy-preserving data mining for the actual cohort, studied in the National Cancer Center. We study the necessary condition for data sets without common identification information to be integrated and generating more accurate and effective results. |
Keyword(in Japanese) | (See Japanese page) |
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Paper # | Vol.2013-CSEC-62 No.57,Vol2013-SPT-6 No.57 |
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Committee | ISEC |
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Conference Date | 2013/7/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Information Security (ISEC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | The Case Study of Privacy-Preserving Data Mining without Common Identification from the JPHC Study Data Set |
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1st Author's Name | SHIGETA IKUJI |
1st Author's Affiliation | () |
2nd Author's Name | MAKOTO KAWAMURA |
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3rd Author's Name | TAKASHI UOZUMI |
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4th Author's Name | TAKAMI AZUMA |
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5th Author's Name | HIROAKI KIKUCHI |
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6th Author's Name | MANAMI INOUE |
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Date | 2013/7/11 |
Paper # | Vol.2013-CSEC-62 No.57,Vol2013-SPT-6 No.57 |
Volume (vol) | vol.113 |
Number (no) | 135 |
Page | pp.pp.- |
#Pages | 8 |
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