We describe our research on text analytics methods for detecting differences and similarities in the style of authors of text documents. Automatic methods for analyzing the written style of authors have applications in ...

Since the occurrence and variety of Distributed Denial of Service (DDoS) has dramatically increased, the discovery of DDoS signatures (rules) become very difficult for current intrusion detection mechanisms. Darknets, which ...

Evolutionary algorithms are capable to lead to efficient solutions without a predefined design and few human bias. However, they can be prone to early convergence and may be deceived by a non-informative or deceptive fitness ...

The simplicity and flexibility of tagging allows users to collaboratively create large, loosely structured repositories of Web resources. One of its main drawbacks is the need for manual formulation of tags for each posted ...

Real-world decision making is challenging due, in part, to changes in the underlying reward structure: the best option last week may be less rewarding today. Determining the best response is even more challenging when ...

Social media has become an unavoidable part of our daily lives. It attracts di erent users with di erent mindsets. In particular, Twitter is a platform with a diverse audience who engage in di erent topics and interact ...

Detection of spatiotemporal patterns have many applications in areas such as computer vision and data mining. Specifically, the analysis and mining of biological data with high dimensionality (e.g. multi-cell recordings, ...

We define expertise modeling as profiling an expert, a knowledgeable person in one or more domains, based on evidence from research articles into one or more research topics. The traditional text classification approach ...

The purpose of user growth is to acquire new users to use a product or service. In the case of the internship at Figure 1, user growth is acquiring health care professionals for medical collaboration. Figure 1 is a tech ...