Network-based approaches to climate knowledge discovery

Approaches to Parallel Graph-Based Knowledge Discovery

The large amount of data collected today is quickly overwhelming researchers' abilities to interpret the data and discover interesting patterns. Knowledge discovery and data mining systems contain the potential to automate the interpretation process, but these approaches frequently utilize computationally expensive algorithms. In particular, scientific discovery systems focus on the utilization...

Literature-based knowledge discovery in climate science

Climate change caused by anthropogenic activity is one of the biggest challenges of our time. Researchers are striving to understand the effects of global warming on the ecological systems of the oceans, and how these ecological systems influence the global climate, a line of research that is crucial in order to counteract or adapt to the effects of global warming. A major challenge that resear...

Evolutionary Approaches to Visualisation and Knowledge Discovery

Haiku is a data mining system which combines the best properties of human and machine discovery. An self organising visualisation system is coupled with a genetic algorithm to provide an interactive, flexible system. Visualisation of data allows the human visual system to identify areas of interest, such as clusters, outliers or trends. A genetic algorithm based machine learning algorithm can t...

Knowledge discovery based on conceptual network

Using statistical and knowledge-based approaches for literature-based discovery

The explosive growth in biomedical literature has made it difficult for researchers to keep up with advancements, even in their own narrow specializations. While researchers formulate new hypotheses to test, it is very important for them to identify connections to their work from other parts of the literature. However, the current volume of information has become a great barrier for this task a...