Patent ID: 9342796
Filing Date: 2016-05-17
CPC Classification: G06N

Claim Text:
1. A computer-implemented method, comprising: accessing a question having a predetermined answer, the question being associated with operations of at least one computing system; accessing at least one dataset associated with the question, the at least one dataset including data describing the operations of the at least one computing system and contextual information about the data; selecting at least one decontextualization operation from a plurality of decontextualization operations, wherein the at least one decontextualization operation at least partly alters the contextual information about the data included in the at least one dataset; applying the at least one decontextualization operation to the at least one dataset to determine at least one modified dataset in which the contextual information about the data included in the at least one dataset is at least partly altered; sending the at least one modified dataset including the data and the altered contextual information and the question to a plurality of worker devices associated with a plurality of workers in a crowdsourcing framework; receiving, from the plurality of worker devices, a plurality of answers to the question, the plurality of answers generated by the plurality of workers analyzing the at least one modified dataset having the contextual information about the data at least partly altered and the data in view of the question; incorporating, into training data, the plurality of answers and information describing the at least one decontextualization operation; and employing the training data in machine learning to train a decontextualizer to be used in subsequent data decontextualization to answer subsequent questions using the crowdsourcing framework.