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

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

Probabilistic frequent itemset mining in uncertain transaction databases semantically and
computationally differs from traditional techniques applied to standard" certain" transaction …

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 …

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 …

Uncertain data are inherent in some important applications, such as environmental
surveillance, market analysis, and quantitative economics research. Due to the importance …

The dramatic growth in the number of application domains that naturally generate
probabilistic, uncertain data has resulted in a need for efficiently supporting complex …

Query processing on uncertain data streams has attracted a lot of attentions lately, due to the
imprecise nature in the data generated from a variety of streaming applications, such as …

We study here fundamental issues involved in top-k query evaluation in probabilistic
databases. We consider simple probabilistic databases in which probabilities are associated …

Traditional rank-aware processing assumes a dataset that contains available options to
cover a specific need (eg, restaurants, hotels, etc) and users who browse that dataset via top …