Business operations involve many factors and relationships and are modeled as complex business process workflows. The execution of these business processes generates vast volumes ...
Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, J&oum...
Entity linkage is central to almost every data integration and data cleaning scenario. Traditional techniques use some computed similarity among data structure to perform merges a...
Ekaterini Ioannou, Wolfgang Nejdl, Claudia Nieder&...
Mean shift is a popular approach for data clustering, however, the high computational complexity of the mean shift procedure limits its practical applications in high dimensional ...
Abstract: Transactional network data can be thought of as a list of oneto-many communications (e.g., email) between nodes in a social network. Most social network models convert th...
Abstract. Scientists’ ability to generate and collect massive-scale datasets is increasing. As a result, constraints in data analysis capability rather than limitations in the av...