Uncertainty accompanies our life processes and covers almost all fields of scientific studies.
Two general categories of uncertainty, namely, aleatory uncertainty and epistemic …

The continuous development of wireless networks and mobile devices has motivated an
intense research in mobile data services. Some of these services provide the user with …

Managing and mining graph data Charu C. Aggarwal Haixun Wang Editors Managing and
Mining Graph Data 123 Page 2 Managing and Mining Graph Data Page 3 ADVANCES IN …

In recent years, a number of indirect data collection methodologies have lead to the
proliferation of uncertain data. Such data points are often represented in the form of a …

Uncertain data are inherent in some important applications. Although a considerable
amount of research has been dedicated to modeling uncertain data and answering some …

This paper introduces\uldb s, an extension of relational databases with simple yet
expressive constructs for representing and manipulating both {\em lineage} and {\em …

Uncertain data is inherent in a few important applications such as environmental
surveillance and mobile object tracking. Top-k queries (also known as ranking queries) are …

Clustering on uncertain data, one of the essential tasks in mining uncertain data, posts
significant challenges on both modeling similarity between uncertain objects and …

Reverse skyline queries over uncertain databases have many important applications such
as sensor data monitoring and business planning. Due to the existence of uncertainty in …

In many real applications, graph data is subject to uncertainties due to incompleteness and
imprecision of data. Mining such uncertain graph data is semantically different from and …