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:
Jan. 26, 2021

Filed:

Oct. 31, 2018
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Aditya Bandi, Sammamish, WA (US);

Ishani Shailesh Parikh, Bellevue, WA (US);

Laurent Visconti, Bainbridge Island, WA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 12/26 (2006.01); G06F 17/18 (2006.01);
U.S. Cl.
CPC ...
H04L 43/04 (2013.01); G06F 17/18 (2013.01); H04L 43/0817 (2013.01); H04L 43/0894 (2013.01);
Abstract

Techniques are provided for ranking time-series including previously detected anomalous fact quantity changes over an associated time interval. Time-series are received, and for each time-series, a normalized fact quantity change is determined, and each time-series is ranked based in part on the normalized fact quantity change. A normalized fact quantity change may be determined by determining a normalization factor over the time interval, and then determining a product of the normalization factor and the absolute value of the fact quantity change of that time interval. Alternatively, a normalized fact quantity change may be the product of the normalization factor, a predetermined order factor, and the absolute value of the fact quantity change. The normalization factor is determined by analyzing the distribution of the fact quantity change over dimension values of the dimension(s) associated with the time-series to determine the number of values in which the fact quantity is concentrated.


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