Big data is big news in almost every sector including crisis communication. However, not everyone has access to big data and even if we have access to big data, we often do not have necessary tools to analyze and cross reference such a large data set. Therefore this paper looks at patterns in small data sets that we have ability to collect with our current tools to understand if we can find act...

Data collection and dissemination capabilities surrounding all kinds of activity have advanced tremendously. This raw data must be turned into information, the information used to build knowledge. This knowledge is used to inform anomaly detection, prediction, and the ultimately to generate actionable intelligence. Data Sciences give us the theory and the tools necessary to produce and verify w...

Globalisation forces cultural amalgam that depends on efficacy of change management to reap the benefits. Fueled by resistance and paranoia, changes to embrace or accommodate globalization are few and far between. Drivers of change management are amorphous and differences in policy, standards, trust and financial inequalities create further hindrance. Governments, organizations and businesses a...

Despite actionable insight being widely recognized as the outcome of data analytics, there is a lack of a systematic and commonly-agreed definition for the term. More importantly, existing definitions are generally too abstract for informing the design of data analytics systems. This study proposes a definition of actionable insight as a multi-component concept comprising analytic insight, syne...

Context: Automated static analysis (ASA) identifies potential source code anomalies early in the software development lifecycle that could lead to field failures. Excessive alert generation and a large proportion of unimportant or incorrect alerts (unactionable alerts) may cause developers to reject the use of ASA. Techniques that identify anomalies important enough for developers to fix (actio...

In recent years several tools have been developed to automatically select test inputs from the code of the system under test. However, each of these tools has different advantages, and there is little detailed feedback available on the actual capabilities of the various tools. In order to evaluate test input generators this paper collects a set of programming language concepts that should be ha...

REVERIE (REal and Virtual Engagement in Realistic Immersive Environments) is a research project with the aim to build a safe, collaborative, online environment which brings together realistic inter-personal communication and interaction. The REVERIE platform integrates cutting-edge technologies and tools, such as social networking services, spatial audio adaptation techniques, tools for creatin...

Malaria parasites are continually evolving to evade the immune system and human attempts to control the disease. To eliminate malaria from regions where it is deeply entrenched we need ways of monitoring what is going on in the parasite population, detecting problematic changes as soon as they arise, and executing a prompt and effective response based on a deep understanding of this natural evo...

Actionable Association Rule mining (AAR) is a closed optimization problem solving process from problem definition, model design to actionable pattern discovery, and is designed to deliver apt business rules that can be integrated with business processes and technical aspects. To support such processes, we correspondingly propose, formalize and illustrate a generic AAR model design: Multisource ...