Abstract: In accordance with one aspect, the present disclosure is directed to quantifying the relevance between two entities in a graph database. One way of doing this is determining the number of pathways and the length of the pathways within the graph database that connect the two entities, wherein each entity is represented as a node. In some implementations, the present disclosure identifies and quantifies the connection between a news document (e.g., a news article) and a company or other entity. For example, the connection between an online news article and a company's underlying equity instrument can be evaluated.

Abstract: In accordance with one aspect, the present disclosure is directed to quantifying the relevance between two entities in a graph database. One way of doing this is determining the number of pathways and the length of the pathways within the graph database that connect the two entities, wherein each entity is represented as a node. In some implementations, the present disclosure identifies and quantifies the connection between a news document (e.g., a news article) and a company or other entity. For example, the connection between an online news article and a company's underlying equity instrument can be evaluated.

Abstract: Methods and systems for interactive evolutionary computing may include generating a set of candidate molecules based on an evolutionary scheme in which an objective function is a priori mathematically unexpressed, presenting data based on the set of candidate molecules to one or more users, receiving at least one input from the user(s), the input(s) based on the user(s)'s evaluation of the presented set of candidate molecules, and, based on the input(s), using at least the evolutionary scheme and the input(s) to generate an updated set of candidate molecules, and repeating the presenting and receiving.

Abstract: Methods and systems for interactive evolutionary computing may include generating a set of candidate molecules based on an evolutionary scheme in which an objective function is a priori mathematically unexpressed, presenting data based on the set of candidate molecules to one or more users, receiving at least one input from the user(s), the input(s) based on the user(s)'s evaluation of the presented set of candidate molecules, and, based on the input(s), using at least the evolutionary scheme and the input(s) to generate an updated set of candidate molecules, and repeating the presenting and receiving.

Abstract: Methods and systems for interactive evolutionary computing may include generating a set of candidate molecules based on an evolutionary scheme in which an objective function is a priori mathematically unexpressed, presenting data based on the set of candidate molecules to one or more users, receiving at least one input from the user(s), the input(s) based on the user(s)'s evaluation of the presented set of candidate molecules, and, based on the input(s), using at least the evolutionary scheme and the input(s) to generate an updated set of candidate molecules, and repeating the presenting and receiving.

Abstract: Methods and systems for interactive evolutionary computing may include generating a set of candidate molecules based on an evolutionary scheme in which an objective function is a priori mathematically unexpressed, presenting data based on the set of candidate molecules to one or more users, receiving at least one input from the user(s), the input(s) based on the user(s)'s evaluation of the presented set of candidate molecules, and, based on the input(s), using at least the evolutionary scheme and the input(s) to generate an updated set of candidate molecules, and repeating the presenting and receiving.

Abstract: A method for interactive evolutionary computing may include generating a solution set based on an evolutionary scheme in which an objective function is a priori mathematically unexpressed, presenting data based on the solution set to one or more users, receiving at least one input from the user(s), the input(s) based on the user(s)'s evaluation of the presented solution set, and, based on the input(s), using at least the evolutionary scheme and the input(s) to generate an updated solution set, and repeating the presenting and receiving.