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Paper Abstract and Keywords
Presentation 2015-10-02 10:30
Online Bayesian estimation of Randomized Response models
Tota Suko, Shunsuke Horii (Waseda Univ) COMP2015-23
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we treat the randomized-response technique. This is the estimation method for population proportion of a sensitive characteristic. The respondent selects a question from a group of questions by using a randomizing device. And the respondent answers the select question. The respondent's privacy is protected, because interviewer will not know which question is being answered. There are a lot of studies about estimation method for randomized response model. In this paper, we propose an online Bayesian estimation algorithm for randomized-response model.
Keyword (in Japanese) (See Japanese page) 
(in English) Randomized Response / Bayes estimation / Privacy-Preserving Data mining / noisy data / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 235, COMP2015-23, pp. 7-11, Oct. 2015.
Paper # COMP2015-23 
Date of Issue 2015-09-25 (COMP) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF COMP2015-23

Conference Information
Committee COMP  
Conference Date 2015-10-02 - 2015-10-02 
Place (in Japanese) (See Japanese page) 
Place (in English)  
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Paper Information
Registration To COMP 
Conference Code 2015-10-COMP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Online Bayesian estimation of Randomized Response models 
Sub Title (in English)  
Keyword(1) Randomized Response  
Keyword(2) Bayes estimation  
Keyword(3) Privacy-Preserving Data mining  
Keyword(4) noisy data  
1st Author's Name Tota Suko  
1st Author's Affiliation Waseda University (Waseda Univ)
2nd Author's Name Shunsuke Horii  
2nd Author's Affiliation Waseda University (Waseda Univ)
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Date Time 2015-10-02 10:30:00 
Presentation Time 30 
Registration for COMP 
Paper # IEICE-COMP2015-23 
Volume (vol) IEICE-115 
Number (no) no.235 
Page pp.7-11 
#Pages IEICE-5 
Date of Issue IEICE-COMP-2015-09-25 

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