نتایج جستجو برای: privacy preserving data mining
تعداد نتایج: 2504019 فیلتر نتایج به سال:
The success of data mining relies on the availability of high quality data. To ensure quality data mining, effective information sharing between organizations becomes a vital requirement in today's society. Since data mining often involves person-specific and sensitive information like medical records, the public has expressed a deep concern about their privacy. Privacy-preserving data publishi...
Privacy preserving is one of the most important research topics in the data security field and it has become a serious concern in the secure transformation of personal data in recent years. For example, different credit card companies and disease control centers may try to build better data sharing or publishing models for privacy protection through privacy preserving data mining techniques (PP...
The recent investigation of privacy-preserving data mining has been motivated by the growing concern about the privacy of individuals when their data is stored, aggregated, and mined for information. In an effort towards practical algorithms for privacy-preserving data mining solutions, we analyze and implement solutions to an important primitive: the privacy-preserving scalar product of two ve...
Data mining finds useful patterns from the large dataset. Data analysis techniques that are frequent itemset mining and association rule mining are two popular and broadly utilized for different applications. Personal or sensitive information of individuals, industries or organizations must be kept private before it is shared for the data mining. Hence privacy preserving data mining has become ...
The privacy preserving data mining has become a research hot issue in the data mining field. The server log of the Web site has preserved the page information visited by users. If the page information is not protected, the user’s privacy data would be leaked. Aiming at the problem, it discusses the privacy preserving problem based on the user’s behavior in the Web data mining, and then introduc...
With the rapid development of data mining technologies, preserving privacy in certain data becomes a challenge to data mining applications in many fields, especially in medical, financial and homeland security fields. We present a class of novel privacy-preserving data distortion methods in collaborative analysis situations based on wavelet transformation, to keep the data privacy and data stat...
Title of Thesis: On Random Additive Perturbation for Privacy Preserving Data Mining Author: Souptik Datta, Master of Science, 2004 Thesis directed by: Dr. Hillol Kargupta, Associate Professor Department of Computer Science and Electrical Engineering Privacy is becoming an increasingly important issue in many data mining applications. This has triggered the development of many privacy-preserving...
Privacy concerns have gotten more attention as Big Data has spread. The difficulties of striking a balance between the value data and individual privacy led to emergence privacy-preserving mining analytics approaches crucial area research. An overview major ideas, methods, developments in context is given this abstract. that protects tries glean useful insights from huge databases while shieldi...
My prior research has been mainly in the area of privacy preserving data mining. It included such topics as: using randomization for preserving privacy of individual transactions in association rule mining; secure two-party computation of joins between two relational tables, set intersections, join sizes, and supports of vertically partitioned itemsets; improving space and time efficiency in pr...
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