Recently, numerous studies have been conducted on Missing Value Imputation (MVI),
intending the primary solution scheme for the datasets containing one or more missing …

Street view images (SVIs) have great potential for automatic land use classification. Previous
studies have paid little attention to the spatial context of SVIs and land parcels, leaving room …

Multi-view data, stemming from diverse information sources, often suffer from
incompleteness due to various factors such as equipment failure and data transmission …

Urban road travel time estimation and prediction on a citywide scale is a necessary and
important task for recommending optimal travel paths. However, this problem has not yet …

As a critical task of the urban traffic services, fine-grained urban flow inference (FUFI)
benefits in many fields including intelligent transportation management, urban planning …

As a critical mission of intelligent transportation systems, urban flow prediction (UFP)
benefits in many city services including trip planning, congestion control, and public safety …

As a develo** trend of urbanization, massive amounts of urban statistical data with
multiple views (eg, views of Population and Economy) are increasingly collected and …

For incomplete data classification, missing attribute values are often estimated by imputation
methods before building classifiers. The estimated attribute values are not actual attribute …

Graph-based change point detection (CPD) plays an irreplaceable role in discovering
anomalous graphs in a time-varying network. While several techniques have been proposed …

In recent years, online lending platforms have been becoming attractive for micro-financing
and popular in financial industries. However, such online lending platforms face a high risk …