String similarity search and join are two important operations in data cleaning and
integration, which extend traditional exact search and exact join operations in databases by …

The Internet based cyber-physical world has profoundly changed the information
environment for the development of artificial intelligence (AI), bringing a new wave of AI …

Crowdsourcing refers to solving large problems by involving human workers that solve
component sub-problems or tasks. In data crowdsourcing, the problem involves data …

Nowadays, crowdsourcing is being widely used to collect training data for solving
classification problems. However, crowdsourced labels are often noisy, and there is a …

In Entity Resolution, the objective is to find which records of a dataset refer to the same real-
world entity. Crowd Entity Resolution uses humans, in addition to machine algorithms, to …

During the process of data collection, incompleteness is one of the most serious data quality
problems to deal with. Traditional imputation methods mostly rely on statistics and machine …

Introduction: Cracks are a key feature that determines the structural integrity of rocks, and
their angular distribution can be used to determine the local or regional stress patterns. The …

Uncertain data are data with uncertainty information, which exist widely in database
applications. In recent years, uncertainty in data has brought challenges in almost all …

Well log prediction while drilling estimates the rock properties ahead of drilling bits. A
reliable well log prediction is able to assist reservoir engineers in updating the geological …

Crowdsourcing provides access to a pool of human workers who can contribute solutions to
tasks that are challenging for computers. Proposals have been made for the use of …