Over the recent years, the growth of online social media has greatly facilitated the way
people communicate with each other. Users of online social media share information …

Social Media (SM) are the most widespread and rapid data generation applications on the
Internet increase the study of these data. However, the efficient processing of such massive …

Visual analytics for machine learning has recently evolved as one of the most exciting areas
in the field of visualization. To better identify which research topics are promising and to …

When a message, such as a piece of news, spreads in social networks, how can we classify
it into categories of interests, such as genuine or fake news? Classification of social media …

Interactive model analysis, the process of understanding, diagnosing, and refining a
machine learning model with the help of interactive visualization, is very important for users …

We present a comprehensive, detailed review of time-series data analysis, with emphasis on
deep time-series clustering (DTSC), and a case study in the context of movement behavior …

Event sequence data record series of discrete events in the time order of occurrence. They
are commonly observed in a variety of applications ranging from electronic health records to …

Since its earliest days, harassment and abuse have plagued the Internet. Recent research
has focused on in-domain methods to detect abusive content and faces several challenges …

With the development of social media (eg Twitter, Flickr, Foursquare, Sina Weibo, etc.), a
large number of people are now using them and post microblogs, messages and multi …

The increasing availability of spatiotemporal data continuously collected from various
sources provides new opportunities for a timely understanding of the data in their spatial and …