In this paper, we study the impacts of non-Personal Identifiable Information (non-PII) on the privacy of graph data with attribute information (e.g., social networks data with users’ profiles (attributes)), namely Structure-Attribute Graph (SAG) data, both theoretically and empirically. Our main contributions are two-fold: (i) we conduct the first attribute-based anonymity analysis for SAG data...

A Data Warehouse (DW) is a repository of information collected from multiple sources, stored under a unified schema, and that usually resides at a single site. DWs are constructed via a process of data cleaning, data integration, data transformation, data loading, and periodic data refreshing. Integration of data sources refers to the task of developing a common schema as well as data transform...

The purpose of this study is to determine which attributes are important for choosing household personal shampoo. Using our results, we develop two impact measures of customer satisfaction. In the first approach, the relationship between positiveor negative-attribute product performance and overall satisfaction is assumed to be linear and symmetric. In this case, positive or negative product at...

This paper describes a temporal expression identification and normalization system, ManTIME, developed for the TempEval-3 challenge. The identification phase combines the use of conditional random fields along with a post-processing identification pipeline, whereas the normalization phase is carried out using NorMA, an open-source rule-based temporal normalizer. We investigate the performance v...

Combinatorial match in production systems (rule-based system) is problematical in several areas of production system application: real-time performance, learning new productions for performance improvement. modeling human cognition. and parallelization. The unique-attribute representation in production systems is a promising approach to eliminate match combinatorics. Earlier investigations have...

We consider the task of predicting various traits of a person given an image of their face. We estimate both objective traits, such as gender, ethnicity and hair-color; as well as subjective traits, such as the emotion a person expresses or whether he is humorous or attractive. For sizeable experimentation, we contribute a new Face Attributes Dataset (FAD), having roughly 200,000 attribute labe...

This research examines how consumer preferences for products are affected by attribute resemblance, which refers to the degree a product is similar with other that being evaluated together. It expected influence of resemblance on attitude and choice moderated familiarity, tested in three empirical studies. Studies 1 2 examine effects toward show positive stronger when less (vs. more) familiar. ...