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:
Oct. 23, 2018

Filed:

Sep. 10, 2015
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Takayuki Katsuki, Tokyo, JP;

Tetsuro Morimura, Tokyo, JP;

Daisuke Sato, Kanagawa-ken, JP;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 3/00 (2006.01); G06F 3/041 (2006.01); G06F 3/0488 (2013.01); G06F 17/27 (2006.01); G06K 9/62 (2006.01); G06F 17/30 (2006.01); G06K 9/72 (2006.01);
U.S. Cl.
CPC ...
G06F 3/0418 (2013.01); G06F 3/0488 (2013.01); G06F 3/04883 (2013.01); G06F 17/27 (2013.01); G06K 9/6261 (2013.01); G06K 9/6262 (2013.01); G06K 9/6269 (2013.01); G06F 17/30312 (2013.01); G06K 9/723 (2013.01);
Abstract

A method and apparatus for data processing. The present invention provides a data processing apparatus that includes: a series acquisition section for acquiring a data series in which multiple pieces of data are arranged; a fragmentation section for fragmenting the data series to obtain multiple partial data series; a pattern extraction section for extracting multiple patterns of one or more pieces of data appearing in at least one of the multiple partial data series; and a generation section for generating a feature vector having element values, which vary according to whether to include each of the multiple patterns, for each of the multiple partial data series, respectively. There is also provided a method for data processing. The present invention allows for the generation of a feature vector from time-series data indicating a phenomenon the occurrence time of which is temporally irregular to detect features.


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