The growing use of Information Technology in the commercial arena leads to an urgent
need to find alternatives to traditional dispute resolution. New tools from fields such as …

An idealized clustering algorithm seeks to learn a cluster-adjacency matrix such that, if two
data points belong to the same cluster, the corresponding entry would be 1; otherwise, the …

The outbreak of highly pathogenic avian influenza (HPAI) H5N1 disease has led to
significant loss of poultry and wild life and case fatality rates in humans of 60%. Wild birds …

Abstract Background In China since the first human infection of avian influenza A (H7N9)
virus was identified in 2013, it has caused serious public health concerns due to its wide …

Spatial data objects that possess attributes in the optimization domain and the geographic
domain are now widely available. For example, sensor data are one kind of spatial data …

As urbanization expands globally, assessing the impacts of urban areas on wildlife is critical
to understanding how anthropogenic changes to the environment can alter ecosystem …

Advanced satellite tracking technologies have collected huge amounts of wild bird migration
data. Biologists use these data to understand dynamic migration patterns, study correlations …

To obtain a user-desired and accurate clustering result in practical applications, one way is
to utilize additional pairwise constraints that indicate the relationship between two samples …

Advanced satellite tracking technologies enable biologists to track animal movements at
finer spatial and temporal scales. The resulting long-term movement data is very meaningful …

Spatiotemporal data mining finds great importance with the increasing availability of
spatiotemporal datasets in tremendous amounts. This work introduces an algorithm that …