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 …

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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 …

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 …

Integrity constraints are semantic conditions that a database should satisfy in order to be an
appropriate model of external reality. In practice, and for many reasons, a database may not …

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

To deal with data uncertainty, existing probabilistic database systems augment tuples with
attribute-level or tuple-level probability values, which are loaded into the database along …

Dependency theory is almost as old as relational databases themselves, and has
traditionally been used to improve the quality of schema, among other things. Recently there …

Real-world databases often contain syntactic and semantic errors, in spite of integrity
constraints and other safety measures incorporated into modern DBMSs. We present …