Patent Document ID: 8756169
Application ID: 12959375

Base Claim:
1. A method performed by a computing device having a processor, the method comprising: with the processor, applying a semantic query to an entity feature map to generate a data set, the entity feature map representing a plurality of entities with associated sample types, attributes, and values corresponding to the attributes, wherein the data set includes a plurality of data rows and data columns, each of the data rows containing a representation of one of the entities and each of the data columns containing a representation of one of the associated sample types, attributes, or the values corresponding to the attributes; analyzing the representations of the entities contained in the data rows and the associated sample types, attributes, or the values corresponding to the attributes contained in the data columns to determine a probability distribution of the attributes; and predicting a likelihood of a sample type of a new entity having associated attributes and values corresponding to the attributes based on the determined probability distribution of the attributes.

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Claim 6:
6. The method of claim 1 wherein: one of the data columns also contains an event; analyzing the entities includes analyzing the entities contained in the data rows and the associated event contained in the one of data columns to determine a probability distribution of the event; and the method further includes predicting a likelihood of an event for a new entity having associated attributes and corresponding values to the attributes based on the determined probability distribution of the event.