@inproceedings{e9dd8aa9dc124011a76cf3b9f65a78e8,
title = "Multi-question negative surveys",
abstract = "The negative survey is an emerging method of collecting sensitive information. It could obtain the distribution of sensitive information while preserving the personal privacy. When collecting sensitive information, several questions are often provided together to the respondents. However, when reconstructing positive survey results of multiple questions, previous reconstruction methods have some shortcomings. In this paper, we propose a new reconstruction method for multi-question negative surveys. Experimental results show that our method could obtain more reasonable results.",
keywords = "Immune computation, Negative survey, Privacy preservation, Sensitive information collection",
author = "Hao Jiang and Wenjiang Luo",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2018.; 3rd International Conference on Data Mining and Big Data, DMBD 2018 held in conjunction with the 9th International Conference on Swarm Intelligence, ICSI 2018 ; Conference date: 17-06-2018 Through 22-06-2018",
year = "2018",
doi = "10.1007/978-3-319-93803-5\_47",
language = "英语",
isbn = "9783319938028",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "503--512",
editor = "Yuhui Shi and Qirong Tang and Ying Tan",
booktitle = "Data Mining and Big Data - 3rd International Conference, DMBD 2018, Proceedings",
address = "德国",
}