توضیحات
ABSTRACT
In 2014, EDBT is starting a test-of-time (ToT) award with the goal of recognizing one paper presented at EDBT from at least a decade earlier that have best met the“test of time”. The EDBT ToT award for 2014 will be presented during the EDBT/ICDT 2014 Joint Conference, March 24-27, 2014 in Athens, Greece (http://www.edbticdt2014.gr/). The EDBT 2014 Test of Time Award committee was formed by Gustavo Alonso, Torsten Grust and Walid Aref, all members of the EDBT 2014 PC, and chaired by Sihem Amer-Yahia, the EDBT 2014 PC chair. The committee was charged with selecting a paper or a small number of papers from the EDBT 2004 proceedings that has had the most impact in terms of research, methodology, conceptual contribution, or transfer to practice over the past decade.
INTRODUCTION
The paper addresses the topic of privacy-preserving data mining and proposes a framework for anonymization in contrast to perturbation approaches that introduce noise. The approach advocated in this paper takes into consideration the correlated nature of multi-dimensional data and also that is not problem-specific, i.e., the framework is generic and many mining operations can be formulated and solved given the same framework. The paper is seminal and covers a topic which has not lost relevance today. It constitutes a prime example of how far a simple idea (in this case condensation: reduce a group of records to a number of carefully selected statistical properties of that group) can carry a whole line of original research. Condensation comes with a naturally built-in “privacy dial” (namely the group size) and is practical (easily implemented, maintainable under updates). It established general techniques that have been taken up by many people in the area and outside the area. The results in this paper can be (and have been) generalized in many ways as they tackled a more general problem of grouping, aggregation, and sampling. According to Google Scholar, the paper has been constantly cited in the period from 2005 until today (2013) with a remarkable peak in 2008 when privacy-preserving data mining and database security in general became research topics of core interest. Since 2009 until today, the number of citations has only gone up. Papers citing this paper are also highly cited, indicating the relevance of the contribution.
Year: 2014
Publisher: EDBT
By: Charu C. Aggarwal and Philip S. Yu
File Information: English Language/ 1 Page / size:126KB
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سال : 2014
ناشر : EDBT
کاری از : Charu C. Aggarwal and Philip S. Yu
اطلاعات فایل : زبان انگلیسی / 1 صفحه / حجم : 126KB
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