Sap Se

Hanxiang Chen

Han Li

Julio C Navas

Omar Rahman

Tu Truong

Fuming Wu

Nazanin Zaker Habibabadi

Ajain Kuzhimattathil

The present disclosure pertains to computer readable documents including structured data content for visualizing a structure with a plurality of structure elements and a plurality of relationships between the plurality of structure elements. The document includes the structured data content, a data type indicator, and a structure type indicator. The data type indicator is used to determine a parsing algorithm, The parsing algorithm and the structure type indicator are used to parse the structured data content to determine the structure elements and the relationships between the structure elements. The lexical structure of the structured data content reflects the relationships between the structure elements. A visualization of the structure can be automatically generated. The visualization can be linked to or embedded within visualizations of other structures.

Editing and presenting structured data documents

In an example, a machine learning algorithm is used to train an entity risk evaluation model to output an entity risk score based on transaction data in a computer network. Entity risk scores for various entities may be stored in a database, and retrieved and displayed upon user interaction with one or more reports involving corresponding entities.

Machine learning models for evaluating entities in a high-volume computer network

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Burnaby, Canada

Hanxiang Chen