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.

Date of Patent:
May. 14, 2024

Filed:

May. 10, 2021
Applicant:

Sap SE, Walldorf, DE;

Inventors:

Francesco Alda, Wiesloch, DE;

Amrit Raj, Berlin, DE;

Sergey Smirnov, Heidelberg, DE;

Evgeny Arnautov, Stutensee, DE;

Assignee:

SAP SE, Walldorf, DE;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06Q 10/00 (2023.01); G06N 5/022 (2023.01); G06Q 10/0631 (2023.01);
U.S. Cl.
CPC ...
G06Q 10/06313 (2013.01); G06N 5/022 (2013.01);
Abstract

Technologies are described for identifying features that can be used to predict missing attribute values. For example, a set of structured data can be received comprising a plurality of features and one or more labels. The set of structured data can be pre-processed, comprise applying one or more cleaning policies to produce a set of pre-processed features. The set of pre-processed features can be filtered using correlation-based filtering that uses one or more correlation estimation techniques to remove at least some highly correlated features. The correlation-based filtering can produce a set of filtered features. Feature subset selection can be performed comprising applying machine learning algorithms to the set of filtered features to determine relative importance among the set of filtered features. Based on the relative importance, a subset of the set of filtered features can be determined. The subset of the set of filtered features can be output.


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