Recent study shows that supposedly anonymous movie rating records are de-identified by using a little auxiliary information. In this chapter, we study a problem of protecting privacy of individuals in large public survey rating data. Such rating data usually contains both ratings of sensitive and non-sensitive issues, and the ratings of sensitive issues belong to personal privacy. Even when survey participants do not reveal any of their ratings, their survey records are potentially identifiable by using information from other public sources. To amend this, in this chapter, we propose a novel (k;e; l)-anonymity model to protect privacy in large survey rating data, in which each survey record is required to be 'similar' with at least k−1 othe...
Abstract. In many practical situations, it is important to store large amounts of data and to be abl...
Ethical and legal considerations require anonymisation to protect respondents’ privacy when sharing ...
Privacy has become an increasingly important issue in data mining. In this paper, we consider a scen...
In this paper, we study a problem of protecting privacy of individuals in large public survey rating...
Large scale rating data usually contains both ratings of sensitive and non-sensitive issues, and the...
In this paper, we study a problem of privacy protection in large survey rating data. The rating dat...
In this paper, we mitigate a privacy threat to a large survey rating data set using an anonymity pri...
Driven by mutual benefits, exchange and publication of data among various parties is an inevitable t...
Abstract- Public survey data that may Increase the exposure of privacy and census information about ...
Recommendation systems are information-filtering systems that help users deal with information overl...
In people-centric applications, participants voluntarily report data to service providers for commun...
For datasets in Collaborative Filtering (CF) recommendations, even if the identifier is deleted and ...
Abstract—Emerging platforms such as Amazon Mechanical Turk and Google Consumer Surveys are increasin...
Abstract — Procedures to anonymize data sets are vital for companies, government agencies and other ...
Recently, recommender systems have been introduced to predict user preferences for products or servi...
Abstract. In many practical situations, it is important to store large amounts of data and to be abl...
Ethical and legal considerations require anonymisation to protect respondents’ privacy when sharing ...
Privacy has become an increasingly important issue in data mining. In this paper, we consider a scen...
In this paper, we study a problem of protecting privacy of individuals in large public survey rating...
Large scale rating data usually contains both ratings of sensitive and non-sensitive issues, and the...
In this paper, we study a problem of privacy protection in large survey rating data. The rating dat...
In this paper, we mitigate a privacy threat to a large survey rating data set using an anonymity pri...
Driven by mutual benefits, exchange and publication of data among various parties is an inevitable t...
Abstract- Public survey data that may Increase the exposure of privacy and census information about ...
Recommendation systems are information-filtering systems that help users deal with information overl...
In people-centric applications, participants voluntarily report data to service providers for commun...
For datasets in Collaborative Filtering (CF) recommendations, even if the identifier is deleted and ...
Abstract—Emerging platforms such as Amazon Mechanical Turk and Google Consumer Surveys are increasin...
Abstract — Procedures to anonymize data sets are vital for companies, government agencies and other ...
Recently, recommender systems have been introduced to predict user preferences for products or servi...
Abstract. In many practical situations, it is important to store large amounts of data and to be abl...
Ethical and legal considerations require anonymisation to protect respondents’ privacy when sharing ...
Privacy has become an increasingly important issue in data mining. In this paper, we consider a scen...