Uncertain data have already widely existed in many practical applications recently, such as
sensor networks, RFID networks, location-based services, and mobile object management …

Probabilistic databases are databases where the value of some attributes or the presence of
some records are uncertain and known only with some probability. Applications in many …

We show that relational algebra calculations for incomplete databases, probabilistic
databases, bag semantics and why-provenance are particular cases of the same general …

We describe a framework for supporting arbitrarily complex SQL queries with “uncertain”
predicates. The query semantics is based on a probabilistic model and the results are …

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 …

Top-k processing in uncertain databases is semantically and computationally different from
traditional top-k processing. The interplay between score and uncertainty makes traditional …

The most acute information management challenges today stem from organizations relying
on a large number of diverse, interrelated data sources, but having no means of managing …

摘要随着数据采集和处理技术的进步, 人们对数据的不确定性的认识也逐步深入. 在诸如经济,
军事, 物流, 金融, 电信等领域的具体应用中, 数据的不确定性普遍存在. 不确定性数据的表现形式 …

Trio is a new database system that manages not only data, but also the accuracy and
lineage of the data. Approximate (uncertain, probabilistic, incomplete, fuzzy, and imprecise!) …