A major challenge to digital forensic analysis is the ongoing growth in the volume of data
seized and presented for analysis. This is a result of the continuing development of storage …

As an increasing amount of crime takes on a digital aspect, law enforcement bodies must
tackle an online environment generating huge volumes of data. With manual inspections …

This paper targets two main goals. First, we want to provide an overview of available
datasets that can be used by researchers and where to find them. Second, we want to stress …

Abstract Scene Text Recognition (STR) has many important applications in computer vision.
Complex backgrounds continue to be a big challenge for STR because they interfere with …

Digital (forensic) investigations will be increasingly important in both criminal investigations
and civil litigations (eg, corporate espionage, and intellectual property theft) as more of our …

Cybercriminals exploit the opportunities provided by the information revolution and social
media to communicate and conduct underground illicit activities, such as online fraudulence …

In a regular retail shop the behavior of customers may yield a lot to the shop assistant.
However, when it comes to online shopping it is not possible to see and analyze customer …

The traditional machine learning systems lack a pathway for a human to integrate their
domain knowledge into the underlying machine learning algorithms. The utilization of such …

Despite the increasing importance of using text mining and social media technologies in
policy-making, an in-depth literature review on this area has yet to be conducted. In this …

The growing amount of unstructured text over Internet is tremendous. Text repositories come
from Web 2.0, business intelligence and social networking applications. It is also believed …