EXCEPTIONAL DATA DETECTION METHOD AND DEVICE

WIPO Patent Application WO/2018/161824

A1

The present invention discloses an exceptional data detection method and device wherein the method comprises: acquiring texts; extracting multiple data entries from the texts, wherein each of the multiple data entries consist of multiple attribute values and each of the attribute values correspond to a data attribute, and the attributes of each data entry are identical; performing merging on the attribute value of each data entry to obtain a new attribute value of each data entry, wherein a quantity of the new attribute value of each data entry is less than a quantity of the attribute value of each pre-merging data entry; and using the new attribute value of each data entry to perform machine learning so as to obtain a data model, wherein the data model is used for distinguishing if the data extracted from the text are exceptional data. The present invention can be used to solve the issue in the prior art caused by using large data dimensions for training, thus increasing training efficiency and accuracy of training results.

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LI GANGYI (CN)
ZHAO XIAOGUANG (CN)

PCT/CN2018/077507

September 13, 2018

February 28, 2018

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BEYONDSOFT BEIJING CO LTD (CN)

G06F17/30

CN106447383A	2017-02-22
CN103023927A	2013-04-03
CN104919458A	2015-09-16
CN103235803A	2013-08-07
CN107122394A	2017-09-01

KANGXIN PARTNERS, P. C. (CN)

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