发明名称 DECISION TREE DATA STRUCTURES GENERATED TO DETERMINE METRICS FOR CHILD NODES
摘要 Disclosed are various embodiments for data processing using decision tree data structures to implement artificial intelligence in an ingestion process. At least one computing device may be employed to access reference data from a data store accessible to the at least one computing device and parse the reference data using a natural language processor to identify relevant data for storage in at least one decision tree data structure. An ingestion process is applied to receive input data from at least one client device remotely over a transmission network. The at least one decision tree data structure is queried to identify a node in the at least one decision tree data structure that corresponds to a state of the ingestion process. A first metric for a first child node and a second metric for a second child node are generated using the input data.
申请公布号 US2016162794(A1) 申请公布日期 2016.06.09
申请号 US201514972465 申请日期 2015.12.17
申请人 Courson Gardner G.;Pensak David 发明人 Courson Gardner G.;Pensak David
分类号 G06N5/04;G06F17/30;G06N99/00;G06F17/27 主分类号 G06N5/04
代理机构 代理人
主权项 1. A non-transitory computer-readable medium having a program executable in at least one computing device, the program comprising program code that, when executed by the at least one computing device, causes the at least one computing device to: access reference data from a data store accessible to the at least one computing device; parse the reference data using a natural language processor to identify relevant data; store the relevant data identified in at least one decision tree data structure; apply an ingestion process to receive input data from at least one client device, the input data being received by the at least one computing device from the client device remotely over a transmission network; query the at least one decision tree data structure to identify a node in the at least one decision tree data structure that corresponds to a state of the ingestion process; and generate a first metric for a first child node and a second metric for a second child node using the input data, the first child node and the second child node being children of the node identified in the at least one decision tree data structure.
地址 Spartanburg SC US