Understanding co-occurrence in urban human mobility (ie people from two regions visit an
urban place during the same time span) is of great value in a variety of applications, such as …

Identifying coordinated relationships is an important task in data analytics. For example, an
intelligence analyst might want to discover three suspicious people who all visited the same …

Multiple-view visualization (MV) has been heavily used in visual analysis tools for
sensemaking of data in various domains (eg, bioinformatics, cybersecurity and text …

Exploratory analysis of the chemical space is an important task in the field of
cheminformatics. For example, in drug discovery research, chemists investigate sets of …

Existing surveys in visual analytics focus on the importance of the topic. However, many do
not discuss the increasingly critical area of mixed-initiative systems. In this survey we …

Bipartite graphs model the key relations in many large scale real-world data: customers
purchasing items, legislators voting for bills, people's affiliation with different social groups …

Exploring coordinated relationships (eg, shared relationships between two sets of entities) is
an important analytics task in a variety of real-world applications, such as discovering …

Discovering and analyzing biclusters, ie, two sets of related entities with close relationships,
is a critical task in many real-world applications, such as exploring entity co-occurrences in …

Analysts often need to explore and identify coordinated relationships (eg, four people who
visited the same five cities on the same set of days) within some large datasets for …

Crowdsourced sensemaking has shown great potential for enabling scalable analysis of
complex data sets, from planning trips, to designing products, to solving crimes. Yet, most …