FEATURE EXTRACTION METHOD AND APPARATUS FOR USE IN CASUAL EFFECT ANALYSIS

Number of patents in Portfolio can not be more than 2000

United States of America Patent

APP PUB NO 20150094983A1
SERIAL NO

14491522

Stats

ATTORNEY / AGENT: (SPONSORED)

Importance

Loading Importance Indicators... loading....

Abstract

See full text

A feature extraction method and apparatus for use in causal effect analysis, pertaining to data analysis, which includes: determining a feature time point for use in causal effect analysis on a resultant event; acquiring a predetermined number of time intervals according to the determined feature time point, where the predetermined number of time intervals are prior to the determined feature time point, and the interval length from the time interval to the determined feature time point is in positive correlation to the span of the time interval; and extracting features for use in causal effect analysis on the resultant event according to event information of potential causal events occurred in each of the time intervals. According to the present disclosure, considering the short-period and long-period potential causal event, the number of extracted features is controlled, thereby reducing the calculation workload, preventing overfitting, and improving the accuracy in causal effect analysis.

First Claim

See full text

Other Claims data not available

Family

Loading Family data... loading....

Patent Owner(s)

Patent OwnerAddress
NEC CORPORATION7-1 SHIBA 5-CHOME MINATO-KU TOKYO 1088001 ?1088001

International Classification(s)

loading....
  • 2014 Application Filing Year
  • G06F Class
  • 51669 Applications Filed
  • 44228 Patents Issued To-Date
  • 85.60 % Issued To-Date
Click to zoom InYear of Issuance% of Matters IssuedCumulative IssuancesYearly Issuances2014201520162017201820192020202120222023202420250255075100

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Kosaka, Yuki Tokyo, JP 52 131
Wang, Hu Beijing, CN 70 222

Cited Art Landscape

Load Citation

Patent Citation Ranking

  • 3 Citation Count
  • G06F Class
  • 8.54 % this patent is cited more than
  • 10 Age
Citation count rangeNumber of patents cited in rangeNumber of patents cited in various citation count ranges20301168241032130125571353233025016611746601 - 1011 - 2021 - 3031 - 4041 - 5051 - 6061 - 7071 - 8081 - 9091 - 100100 +010002000300040005000600070008000900010000110001200013000

Forward Cite Landscape

Load Citation