The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Dec. 12, 2023
Filed:
May. 03, 2023
Zhejiang Lab, Hangzhou, CN;
Jiaxi Yang, Hangzhou, CN;
Chongning Na, Hangzhou, CN;
Ye Yang, Hangzhou, CN;
Kai Ding, Hangzhou, CN;
Yao Yang, Hangzhou, CN;
Yihan Wang, Hangzhou, CN;
ZHEJIANG LAB, Hangzhou, CN;
Abstract
The present invention discloses a preprocessing and imputing method for structural data, comprising: step 1, querying the missing information of an original data, counting missing values, and obtaining a missing rate for the original data; step 2, based on the missing rate, performing listwise deletion on the original data, and then traversing the rows to generate corresponding dichotomous arrays, converting the arrays to the form of histogram, calculating the maximum rectangular area formed by the corresponding histogram, and then sorting all rectangular areas to obtain the maximum complete information matrix; step 3, using multiple imputation by chained equations, auto-encoders, or generative adversarial imputation networks to impute missing values on the original data. The present invention can carry out missing information statistics on the original data, automatically search the maximum complete information that meets the conditions, impute the structural data, greatly improve the quality of the original dataset and convenience for subsequent prediction tasks.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile