Privacy-Aware Knowledge Discovery: Novel Applications and New Techniques
暫譯: 隱私意識的知識發現：新應用與新技術
Bonchi, Francesco, Ferrari, Elena
- 出版商: CRC
- 出版日期: 2019-09-05
- 售價: $2,990
- 貴賓價: 9.5 折 $2,841
- 語言: 英文
- 頁數: 542
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1138374105
- ISBN-13: 9781138374102
海外代購書籍(需單獨結帳)
商品描述
Covering research at the frontier of this field, Privacy-Aware Knowledge Discovery: Novel Applications and New Techniques presents state-of-the-art privacy-preserving data mining techniques for application domains, such as medicine and social networks, that face the increasing heterogeneity and complexity of new forms of data. Renowned authorities from prominent organizations not only cover well-established results--they also explore complex domains where privacy issues are generally clear and well defined, but the solutions are still preliminary and in continuous development.
Divided into seven parts, the book provides in-depth coverage of the most novel reference scenarios for privacy-preserving techniques. The first part gives general techniques that can be applied to various applications discussed in the rest of the book. The second section focuses on the sanitization of network traces and privacy in data stream mining. After the third part on privacy in spatio-temporal data mining and mobility data analysis, the book examines time series analysis in the fourth section, explaining how a perturbation method and a segment-based method can tackle privacy issues of time series data. The fifth section on biomedical data addresses genomic data as well as the problem of privacy-aware information sharing of health data. In the sixth section on web applications, the book deals with query log mining and web recommender systems. The final part on social networks analyzes privacy issues related to the management of social network data under different perspectives.
While several new results have recently occurred in the privacy, database, and data mining research communities, a uniform presentation of up-to-date techniques and applications is lacking. Filling this void, Privacy-Aware Knowledge Discovery presents novel algorithms, patterns, and models, along with a significant collection of open problems for future investigation.
商品描述(中文翻譯)
涵蓋該領域前沿研究的《隱私意識的知識發現：新應用與新技術》展示了最先進的隱私保護數據挖掘技術，適用於面對新型數據日益異質性和複雜性的應用領域，如醫學和社交網絡。來自知名機構的權威專家不僅涵蓋了成熟的研究成果，還探討了隱私問題通常明確且定義良好的複雜領域，但其解決方案仍然是初步的，並在持續發展中。
本書分為七個部分，深入探討隱私保護技術的最新參考場景。第一部分提供了可應用於本書其餘部分討論的各種應用的一般技術。第二部分專注於網絡痕跡的清理和數據流挖掘中的隱私問題。在第三部分中，探討了時空數據挖掘和移動數據分析中的隱私問題，接著在第四部分中檢視時間序列分析，解釋了擾動方法和基於片段的方法如何解決時間序列數據的隱私問題。第五部分針對生物醫學數據，討論基因組數據以及健康數據的隱私意識信息共享問題。在第六部分中，針對網絡應用，書中處理了查詢日誌挖掘和網絡推薦系統。最後一部分針對社交網絡，分析了在不同視角下管理社交網絡數據的隱私問題。
儘管最近在隱私、數據庫和數據挖掘研究社群中出現了幾個新成果，但缺乏對最新技術和應用的統一呈現。《隱私意識的知識發現》填補了這一空白，展示了新穎的算法、模式和模型，以及一系列重要的未來研究開放問題。
作者簡介
Francesco Bonchi is a senior research scientist at Yahoo! Research in Barcelona, Spain, where he is part of the Barcelona Social Mining Group. He is program co-chair of the upcoming European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2010). Dr. Bonchi has also served as program co-chair of the first and second ACM SIGKDD International Workshop on Privacy, Security, and Trust in KDD (PinKDD 2007 and 2008), the first IEEE International Workshop on Privacy Aspects of Data Mining (PADM 2006), and the fourth International Workshop on Knowledge Discovery in Inductive Databases (KDID 2005). He earned his Ph.D. in computer science from the University of Pisa.
Elena Ferrari is a professor of computer science at the University of Insubria in Italy, where she heads the Database & Web Security Group. In 2009, Dr. Ferrari received the IEEE Computer Society's prestigious Technical Achievement Award for "outstanding and innovative contributions to secure data management." She has served as program co-chair of the third IFIP WG 11.11 International Conference on Trust Management (IFIPTM 2009), PinKDD 2007 and 2008, the fourth ACM Symposium on Access Control Models and Technologies (SACMAT 2004), and the first Workshop on Web Security and Semantic Web at COMPSAC 2002. She earned her Ph.D. in computer science from the University of Milano. Check out Dr. Ferrari's interview with the IEEE Computer Society.
作者簡介(中文翻譯)
Francesco Bonchi 是西班牙巴塞隆納 Yahoo! Research 的高級研究科學家，隸屬於巴塞隆納社會挖掘小組。他是即將舉行的歐洲機器學習與數據庫知識發現原則與實踐會議 (ECML PKDD 2010) 的程式共同主席。Bonchi 博士曾擔任第一屆和第二屆 ACM SIGKDD 國際隱私、安全與信任工作坊 (PinKDD 2007 和 2008)、第一屆 IEEE 國際數據挖掘隱私方面工作坊 (PADM 2006) 以及第四屆歐洲誘導數據庫知識發現國際工作坊 (KDID 2005) 的程式共同主席。他在比薩大學獲得計算機科學博士學位。
Elena Ferrari 是意大利因蘇布里亞大學的計算機科學教授，負責數據庫與網路安全小組。2009 年，Ferrari 博士因其在安全數據管理方面的「卓越和創新貢獻」獲得 IEEE 計算機學會的著名技術成就獎。她曾擔任第三屆 IFIP WG 11.11 國際信任管理會議 (IFIPTM 2009)、PinKDD 2007 和 2008、第四屆 ACM 存取控制模型與技術研討會 (SACMAT 2004) 以及第一屆 COMPSAC 2002 網路安全與語意網工作坊的程式共同主席。她在米蘭大學獲得計算機科學博士學位。查看 Ferrari 博士與 IEEE 計算機學會的訪談。
