Clustering is a common problem in the analysis of large data sets. Streaming algorithms, which make a single pass over the data set using small working memory and produce a cluster...
Radio Frequency IDentification (RFID) technology has attracted much attention due to its variety of applications, e.g., inventory control and object tracking. One important problem...
Hao Han, Bo Sheng, Chiu Chiang Tan, Qun Li, Weizhe...
Recent research studied the problem of publishing microdata without revealing sensitive information, leading to the privacy preserving paradigms of k-anonymity and -diversity. k-a...
Gabriel Ghinita, Panagiotis Karras, Panos Kalnis, ...
Abstract. In this paper, we consider the problem of predicate encryption and focus on the predicate for testing whether the hamming distance between the attribute X of a data item ...
David W. Cheung, Nikos Mamoulis, W. K. Wong, Siu-M...
In this paper we present extended definitions of k-anonymity and use them to prove that a given data mining model does not violate the k-anonymity of the individuals represented in...