Due to the pervasiveness of incomplete data, incomplete data queries are vital in a large
number of real-life scenarios. Current models and approaches for incomplete data queries …

Crowdsourcing is a new strategy of leveraging intelligence from a large number of workers
to complete tasks. An incentive mechanism is an effective way for improving the quality of …

Crowdsourced query processing is an emerging technique that tackles computationally
challenging problems by human intelligence. The basic idea is to decompose a …

Crowdsourcing is an environment where a group of users collaborates together to exchange
information and to find answers for complex problems (queries). Query optimization is the …

Best objects finding is a fundamental operation in decision support systems and
applications. When numerical values of objects cannot be obtained from existing computer …

With the advancement of online technologies in recent years, crowdsourcing data has been
used for numerous applications in many fields. The preference sequences obtained through …

Incomplete data is part of life and almost all areas of scientific studies. Users tend to skip
certain fields when they fill out online forms; participants choose to ignore sensitive …

Sweep coverage is an important covering technique in mobile crowdsensing, in which users
or participants are employed to periodically monitor a set of points of interest (POIs) each …

Ranking techniques have been widely used in ubiquitous applications like recommendation,
information retrieval, etc. For ranking computation hostile but human friendly items …

Social sensing relies on a large number of observations reported by different, possibly
unreliable, agents to determine if an event has occurred or not. In this paper, we consider …