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:
Jul. 21, 2015

Filed:

Jul. 13, 2012
Applicants:

Michael James Leonard, Cary, NC (US);

Edward Tilden Blair, Cary, NC (US);

Jerzy Michal Brzezicki, Cary, NC (US);

Udo V. Sglavo, Raleigh, NC (US);

Ranbir Singh Tomar, Pune, IN;

Kannukuzhiyil Kurien Kurien, Pune, IN;

Sujatha Pothireddy, Apex, NC (US);

Rajib Nath, Pune, IN;

Vilochan Suresh Muley, Pune, IN;

Inventors:

Michael James Leonard, Cary, NC (US);

Edward Tilden Blair, Cary, NC (US);

Jerzy Michal Brzezicki, Cary, NC (US);

Udo V. Sglavo, Raleigh, NC (US);

Ranbir Singh Tomar, Pune, IN;

Kannukuzhiyil Kurien Kurien, Pune, IN;

Sujatha Pothireddy, Apex, NC (US);

Rajib Nath, Pune, IN;

Vilochan Suresh Muley, Pune, IN;

Assignee:

SAS Institute Inc., Cary, NC (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/048 (2013.01); G06Q 10/04 (2012.01); G06F 17/30 (2006.01); G06F 17/18 (2006.01); G06Q 30/02 (2012.01);
U.S. Cl.
CPC ...
G06Q 10/04 (2013.01); G06F 17/18 (2013.01); G06F 17/30716 (2013.01); G06Q 30/02 (2013.01);
Abstract

Systems and methods are provided for analyzing unstructured time stamped data of a physical process in order to generate structured hierarchical data for a hierarchical time series analysis application. A plurality of time series analysis functions are selected from a functions repository. Distributions of time stamped unstructured data are analyzed to identify a plurality of potential hierarchical structures for the unstructured data with respect to the selected time series analysis functions. Different recommendations for the potential hierarchical structures for each of the selected time series analysis functions are provided, where the selected time series analysis functions affect what types of recommendations are to be provided, and the unstructured data is structured into a hierarchical structure according to one or more of the recommended hierarchical structures, where the structured hierarchical data is provided to an application for analysis using one or more of the selected time series analysis functions.


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