An ontology is a formal collection of pieces of knowledge that specify the behaviour of entities in a domain.
Each of these types of edges introduces a dimension along which the behaviour of entities from the microbial world (e.g. their patterns of connection to other entities in the network) can be studied.
Life science has become a data rich science with information about the behaviour of millions of entities like genes, chemical compounds, diseases, cell types and organs, which are organised in many different databases and/or spread throughout the literature.
A clustering analysis was performed that identified principal transcriptional behaviours of entities over the course of five water conditions (optimal supply, mild water stress, severe water stress, 2h recovery and 5h recovery), under optimal or limiting nitrogen supply.
These questions are representative of microeconomics, the part of economics that deals with the behaviour of individual entities such as consumers, business firms, traders, and farmers.
More specifically, recursive Bayesian estimation, which is used to model the behaviour of individual entities of IT systems, provides an alternative method for quickly identifying deviations of this model.
Advanced machine learning techniques can generate models that are fine-grained enough to be able to track the behaviour of individual entities of the IT infrastructure, including network devices, systems and individual users [4 6].
Anomaly: an activity that is different from the normal behaviour of system entities and system resources.
Thanks to the distinction between Assets and Behaviours it is easy to change the behaviour of the entities represented in the model.
