We present a prototype system, code-named Pulse, for mining topics and sentiment
orientation jointly from free text customer feedback. We describe the application of the …

In this paper we present 1BC and 1BC2, two systems that perform naive Bayesian
classification of structured individuals. The approach of 1BC is to project the individuals …

The massive adoption of social networks increased the need to analyze users' data and
interactions to detect and block the spread of propaganda and harassment behaviors, as …

Heterogeneous information networks consist of different types of objects and links. They can
be found in several social, economic and scientific fields, ranging from the Internet to social …

We consider the problem of eliminating redundant Boolean features for a given data set,
where a feature is redundant if it separates the classes less well than another feature or set …

Heterogeneous networks are networks consisting of different types of objects and links. They
can be found in several fields, ranging from the Internet to social sciences, biology …

Companies want to extract value from their relational databases. This is the aim of relational
data mining. Propositionalization is one possible approach to relational data mining …

As the complexity of data increases, so does the importance of powerful representations,
such as relational and logical representations, as well as the need for machine learning …

The massive spread of social networks provided a plethora of new possibilities to
communicate and interact worldwide. On the other hand, they introduced some negative …

Abstract In Spatial Data Mining, spatial dimension adds a substantial complexity to the data
mining task. First, spatial objects are characterized by a geometrical representation and …