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1. WO2020111423 - METHOD FOR AUTOMATICALLY GENERATING VARIABLES FOR DATA MODELING, AND DEVICE THEREOF

Publication Number WO/2020/111423
Publication Date 04.06.2020
International Application No. PCT/KR2019/007409
International Filing Date 19.06.2019
IPC
G06F 17/15 2006.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
17Digital computing or data processing equipment or methods, specially adapted for specific functions
10Complex mathematical operations
15Correlation function computation
G06F 17/11 2006.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
17Digital computing or data processing equipment or methods, specially adapted for specific functions
10Complex mathematical operations
11for solving equations
G06F 17/18 2006.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
17Digital computing or data processing equipment or methods, specially adapted for specific functions
10Complex mathematical operations
18for evaluating statistical data
CPC
G06F 17/11
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
17Digital computing or data processing equipment or methods, specially adapted for specific functions
10Complex mathematical operations
11for solving equations ; , e.g. nonlinear equations, general mathematical optimization problems
G06F 17/15
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
17Digital computing or data processing equipment or methods, specially adapted for specific functions
10Complex mathematical operations
15Correlation function computation ; including computation of convolution operations
G06F 17/18
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
17Digital computing or data processing equipment or methods, specially adapted for specific functions
10Complex mathematical operations
18for evaluating statistical data ; , e.g. average values, frequency distributions, probability functions, regression analysis
Applicants
  • 주식회사 솔리드웨어 SOLIDWARE CO., LTD. [KR]/[KR]
Inventors
  • 김지훈 KIM, Ji Hoon
  • 최유리 TSOY, Yu Ry
  • 유두열 YOO, Doo Youl
Agents
  • 리앤목 특허법인 Y.P.LEE, MOCK & PARTNERS
Priority Data
10-2018-015122529.11.2018KR
Publication Language Korean (KO)
Filing Language Korean (KO)
Designated States
Title
(EN) METHOD FOR AUTOMATICALLY GENERATING VARIABLES FOR DATA MODELING, AND DEVICE THEREOF
(FR) PROCÉDÉ DE GÉNÉRATION AUTOMATIQUE DE VARIABLES POUR LA MODÉLISATION DE DONNÉES, ET DISPOSITIF ASSOCIÉ
(KO) 데이터 모델링을 위한 변수 자동생성방법 및 그 장치
Abstract
(EN)
Disclosed are a method for automatically generating variables for data modeling, and a device thereof. The device for automatically generating variables analyzes the correlation between a target variable to be predicted and each variable of statistical information, selects a plurality of variables among the variables of the statistical information as candidate variables in descending order of correlation with the target variable, generates a new variable by arbitrarily extracting a certain number of variables from among the candidate variables and combining the arbitrarily extracted variables, and stores the new variable and a value for the new variable in the statistical information.
(FR)
L'invention concerne un procédé de génération automatique de variables pour la modélisation de données, et un dispositif associé. Le dispositif de génération automatique de variables analyse la corrélation entre une variable cible à prédire et chaque variable d'informations statistiques, sélectionne une pluralité de variables parmi les variables des informations statistiques en tant que variables candidates dans l'ordre décroissant de corrélation avec la variable cible, génère une nouvelle variable par extraction arbitraire d'un certain nombre de variables parmi les variables candidates et combinaison des variables extraites arbitrairement, et stocke la nouvelle variable et une valeur pour la nouvelle variable dans les informations statistiques.
(KO)
데이터 모델링을 위한 변수 자동생성방법 및 그 장치가 개시된다. 변수자동생성장치는 예측하고자 하는 타겟변수와 통계정보의 각 변수 사이의 상관관계를 분석하고, 통계정보의 변수들 중 타겟변수와 상관관계가 높은 순으로 복수 개의 변수를 후보변수로 선택하고, 후보변수에서 일정 개수의 변수를 임의 추출하고 서로 결합하여 새로운 변수를 생성하고, 새로운 변수 및 새로운 변수에 대한 값을 통계정보에 저장한다.
Also published as
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