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STATISTICS-BASED DATA TRACE CLASSIFICATION
专利权人:
HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
发明人:
REINECKE Philipp,MONAHAN Brian Quentin,GRIFFIN Jonathan
申请号:
US201415306704
公开号:
US2017046629(A1)
申请日:
2014.04.25
申请国别(地区):
美国
年份:
2017
代理人:
摘要:
According to an example, statistics-based data trace classification may include generating sets of training data traces from training data information by assigning a subset of the training data information that has a predetermined property with a first label and assigning another subset of the training data information that does not have the predetermined property with a second label. A trained trace classifier may be generated to detect whether or not a set of input data traces satisfies the predetermined property. The trace classifier may be trained to learn the predetermined property from a statistical data object determined from the sets of the training data traces, and the first and second labels related to the sets of the training data traces.
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