The missing values, widely existed in multivariate time series data, hinder the effective data
analysis. Existing time series imputation methods do not make full use of the label …

The widespread usage of crowdsourcing systems, which leverage human intelligence to do
computer-hard tasks, has created an urgent need to combine crowdsourcing with automated …

Attributed graphs are graphs, where the vertices have attributes. Such graphs encompass,
eg, social network graph, citation graphs, and knowledge graphs, which have numerous real …

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

Cardinality estimation, predicting the query result size, is a fundamental problem in
databases. Existing skyline cardinality estimation methods are computationally infeasible for …

Skyline queries have been widely used as an effective query tool in many contemporary
database applications. The main concept of skyline queries relies on retrieving the non …

Skyline query has been studied extensively and a significant number of skyline algorithms
have been proposed, mostly attempt to resolve the optimisation problem that is mainly …

A method for skyline query of multidimensional incomplete data based on a classification
tree has been proposed to address the problem of a large amount of useless data in existing …

We introduce the asynchronous graph generator (AGG), a novel graph neural network
architecture for multi-channel time series which models observations as nodes on a dynamic …

In many practical applications, G-Skyline query is an important operation to return the best
tuple groups, which are not g-dominated by other tuple groups of the same size, from a …