| 書目名稱 | Privacy-Preserving Data Mining |
| 副標(biāo)題 | Models and Algorithm |
| 編輯 | Charu C. Aggarwal,Philip S. Yu |
| 視頻video | http://file.papertrans.cn/757/756068/756068.mp4 |
| 概述 | Occupies an important niche in the privacy-preserving data mining field.Survey information included with each chapter is unique in terms of its focus on introducing the different topics more comprehen |
| 叢書名稱 | Advances in Database Systems |
| 圖書封面 |  |
| 描述 | .Advances in hardware technology have increased the capability to store and record personal data about consumers and individuals, causing concerns that personal data may be used for a variety of intrusive or malicious purposes...Privacy-Preserving Data Mining: Models and Algorithms. proposes a number of techniques to perform the data mining tasks in a privacy-preserving way. These techniques generally fall into the following categories: data modification techniques, cryptographic methods and protocols for data sharing, statistical techniques for disclosure and inference control, query auditing methods, randomization and perturbation-based techniques...This edited volume contains surveys by distinguished researchers in the privacy field. Each survey includes the key research content as well as future research directions...Privacy-Preserving Data Mining: Models and Algorithms. is designed for researchers, professors, and advanced-level students in computer science, and is also suitable for industry practitioners...?. |
| 出版日期 | Book 2008 |
| 關(guān)鍵詞 | DOM; Information; K-anonymity; algorithms; association rule hiding; classification; cryptographic approach |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-0-387-70992-5 |
| isbn_softcover | 978-1-4419-4371-2 |
| isbn_ebook | 978-0-387-70992-5Series ISSN 1386-2944 |
| issn_series | 1386-2944 |
| copyright | Springer-Verlag US 2008 |
|Archiver|手機(jī)版|小黑屋|
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