| dc.contributor | 資科系 | |
| dc.creator (作者) | Lin, Jun-Lin;Cheng, Yung-Wei | |
| dc.creator (作者) | 鄭雍瑋 | zh_TW |
| dc.date (日期) | 2009-04 | |
| dc.date.accessioned | 24-Aug-2015 15:20:24 (UTC+8) | - |
| dc.date.available | 24-Aug-2015 15:20:24 (UTC+8) | - |
| dc.date.issued (上傳時間) | 24-Aug-2015 15:20:24 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/77974 | - |
| dc.description.abstract (摘要) | This work investigates the problem of privacy-preserving mining of frequent itemsets. We propose a procedure to protect the privacy of data by adding noisy items to each transaction. Then, an algorithm is proposed to reconstruct frequent itemsets from these noise-added transactions. The experimental results indicate that this method can achieve a rather high level of accuracy. Our method utilizes existing algorithms for frequent itemset mining, and thereby takes full advantage of their progress to mine frequent itemset efficiently. | |
| dc.format.extent | 217793 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.relation (關聯) | Expert Systems with Applications, 36(3), Part 1, 5711-5717 | |
| dc.subject (關鍵詞) | Privacy preserving data mining;Association rules | |
| dc.title (題名) | Privacy preserving itemset mining through noisy items | |
| dc.type (資料類型) | article | en |
| dc.identifier.doi (DOI) | 10.1016/j.eswa.2008.06.052 | |
| dc.doi.uri (DOI) | http://dx.doi.org/10.1016/j.eswa.2008.06.052 | |
