entities (nodes), properties (attributes), labels (types), relationships (edges) having a direction, start node, and end node, identifiers.
Here we will use a (labelled) property graph model whose basic constructs include: entities (nodes), properties (attributes), labels (types), relationships (edges) having a direction, start node, and end node, identifiers.
One of the advantages of a classification model in the form of a decision tree is that it shows the relevant attributes selected by the algorithm (the attributes labelling the internal nodes of the tree) in a simple and intuitive hierarchical way, where attributes at the top of the tree are more relevant than attributes at the bottom.
We introduce attributed labeled transition systems (ALTS) to formally specify component behavior and functionalities.
In Fig. 2, "latitude" and "longitude", the two properties in the concept Feed, correspond directly to the flat attributes of the embedded object labeled "location" in Fig. 2a, but correspond indirectly to the flat attribute labeled "geo" in Fig. 2b.
We use attributed, labelled and edge-directed graphs.
Next, we convert all attribute labels to metric unit system to account for the presence of some labels in an imperial system.
J48 builds a decision tree, where each leaf node is labelled with one of the classes to be predicted (ageing-related or non-ageing-related DNA repair gene in our case) and each internal (non-leaf) node represents a test on the value of a predictor attribute labelling the node.
The parent/child attributes are labeled 'P' and 'c' in search results, and all relationships are listed at the top of the 'Related Diseases' section.
We validated the correction and showed that the leaked 99mTc retention was negligible since it was virtually flushed from the heart and, thus, the radioactivity values can likely be attributed to labeled BMCs.
