STATISTICAL SELF LEARNING ARCHIVAL SYSTEM

摘要

#$%^&*AU2017251771B220180816.pdf#####ABSTRACT A system for self-learning archival of electronic data may be provided. A binary classifier may identify a text segment of an electronic dataset in response to text of the electronic dataset being associated with indicators of a word model. A first multiclass classifier may generate a first classification set including respective statistical metrics for the datafield that each predefined identifier in a group of predefined identifiers is representative of the datafield. A second multiclass classifier may receive a context of the electronic dataset and generate a second classification set. A combination classifier may apply weight values to the first classification set and the second classification set and form a weighted classification set and select a predefined identifier as being representative of the datafield based on the weighted classification set. The processor may store, in a memory, a data record including an association between the predefined identifier and the datafield.Patent Application for: STATISTICAL SELF LEARNING ARCHIVAL SYSTEM Inventors: Miranda et al. Attorney Docket No.: 15718-308 1/6 C4 00 7E-) 0 00 L..L .404 LL -) LL CCo 00 0) 0 00