While previous works on privacy-preserving serial data publishing consider the scenario where sensitive values may persist over multiple data releases, we find that no previous wor...
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Jia Liu, K...
Abstract. This paper introduces an approach to address the problem of accessing conventional and geographic data from the Deep Web. The approach relies on describing the relevant d...
Helena Piccinini, Melissa Lemos, Marco A. Casanova...
Abstract. Increasingly huge RDF data sets are being published on the Web. Currently, they use different syntaxes of RDF, contain high levels of redundancy and have a plain indivisi...
Background: Anatomical studies of neural circuitry describing the basic wiring diagram of the brain produce intrinsically spatial, highly complex data of great value to the neuros...
Gully A. P. C. Burns, Wei-Cheng Cheng, Richard H. ...
Recommender systems are used to predict user preferences for products or services. In order to seek better prediction techniques, data owners of recommender systems such as Netfli...
Chih-Cheng Chang, Brian Thompson, Hui (Wendy) Wang...