MX2015015040A - Determinacion de importancia de atributos. - Google Patents

Determinacion de importancia de atributos.

Info

Publication number
MX2015015040A
MX2015015040A MX2015015040A MX2015015040A MX2015015040A MX 2015015040 A MX2015015040 A MX 2015015040A MX 2015015040 A MX2015015040 A MX 2015015040A MX 2015015040 A MX2015015040 A MX 2015015040A MX 2015015040 A MX2015015040 A MX 2015015040A
Authority
MX
Mexico
Prior art keywords
attribute
attribute importance
attributes
importance
determination
Prior art date
Application number
MX2015015040A
Other languages
English (en)
Inventor
Keshava P Rangarajan
Serkan Dursun
Amit Kumar Singh
Original Assignee
Landmark Graphics Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Landmark Graphics Corp filed Critical Landmark Graphics Corp
Publication of MX2015015040A publication Critical patent/MX2015015040A/es

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V20/00—Geomodelling in general
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V99/00—Subject matter not provided for in other groups of this subclass
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/211—Selection of the most significant subset of features
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G06F18/2148—Generating training patterns; Bootstrap methods, e.g. bagging or boosting characterised by the process organisation or structure, e.g. boosting cascade
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V2210/00—Details of seismic processing or analysis
    • G01V2210/60—Analysis
    • G01V2210/62—Physical property of subsurface

Landscapes

  • Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Artificial Intelligence (AREA)
  • Geophysics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Biology (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Stored Programmes (AREA)

Abstract

Un sistema y método para determinar la importancia de atributos entre una pluralidad de modelos de importancia de atributos que incorporan un método de kerneling de atributo segmentado (SAK) de determinación de importancia de atributos. El método permite la operación de múltiples algoritmos de importancia de atributos al mismo tiempo, encuentra el subconjunto de intersección de atributos importantes a través de múltiples técnicas y luego produce un conjunto clasificado consolidado. Además, el método identifica y presenta un subconjunto clasificado de los atributos excluidos de la unión.
MX2015015040A 2013-05-31 2013-12-05 Determinacion de importancia de atributos. MX2015015040A (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201361829665P 2013-05-31 2013-05-31
PCT/US2013/073398 WO2014193474A1 (en) 2013-05-31 2013-12-05 Attribute importance determination

Publications (1)

Publication Number Publication Date
MX2015015040A true MX2015015040A (es) 2016-07-08

Family

ID=51989280

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2015015040A MX2015015040A (es) 2013-05-31 2013-12-05 Determinacion de importancia de atributos.

Country Status (10)

Country Link
US (1) US9581726B2 (es)
EP (1) EP2989568A4 (es)
CN (1) CN105229494A (es)
AU (1) AU2013390812B2 (es)
BR (1) BR112015027371A2 (es)
CA (1) CA2910829C (es)
MX (1) MX2015015040A (es)
RU (1) RU2015146321A (es)
SG (1) SG11201508938RA (es)
WO (1) WO2014193474A1 (es)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107169515B (zh) * 2017-05-10 2020-12-15 杭州电子科技大学 一种基于改进朴素贝叶斯的个人收入分类方法
CN109684504B (zh) * 2018-12-14 2021-01-22 北京奇艺世纪科技有限公司 数据处理方法、装置及电子设备
US11403300B2 (en) * 2019-02-15 2022-08-02 Wipro Limited Method and system for improving relevancy and ranking of search result
US11537923B2 (en) 2020-02-04 2022-12-27 Ford Global Technologies, Llc Predictive methodology to identify potential unknown sweet spots

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5274714A (en) * 1990-06-04 1993-12-28 Neuristics, Inc. Method and apparatus for determining and organizing feature vectors for neural network recognition
US6560540B2 (en) * 2000-09-29 2003-05-06 Exxonmobil Upstream Research Company Method for mapping seismic attributes using neural networks
US7219099B2 (en) * 2002-05-10 2007-05-15 Oracle International Corporation Data mining model building using attribute importance
US7225200B2 (en) 2004-04-14 2007-05-29 Microsoft Corporation Automatic data perspective generation for a target variable
KR101211546B1 (ko) * 2005-12-28 2012-12-12 연세대학교 산학협력단 건설공사용 입찰의사결정방법을 수행하기 위한 프로그램이 기록된 기록매체 및 장치
US7640219B2 (en) * 2006-08-04 2009-12-29 NDSU - Research Foundation Parameter optimized nearest neighbor vote and boundary based classification
US8538702B2 (en) * 2007-07-16 2013-09-17 Exxonmobil Upstream Research Company Geologic features from curvelet based seismic attributes
US8234230B2 (en) 2009-06-30 2012-07-31 Global Eprocure Data classification tool using dynamic allocation of attribute weights
WO2011062794A1 (en) * 2009-11-18 2011-05-26 Conocophillips Company Attribute importance measure for parametric multivariate modeling
US9014982B2 (en) * 2012-05-23 2015-04-21 Exxonmobil Upstream Research Company Method for analysis of relevance and interdependencies in geoscience data

Also Published As

Publication number Publication date
RU2015146321A (ru) 2017-07-05
US20150285951A1 (en) 2015-10-08
BR112015027371A2 (pt) 2017-08-29
WO2014193474A1 (en) 2014-12-04
US9581726B2 (en) 2017-02-28
CA2910829C (en) 2016-10-25
EP2989568A1 (en) 2016-03-02
AU2013390812A1 (en) 2015-11-12
CA2910829A1 (en) 2014-12-04
WO2014193474A8 (en) 2017-07-13
SG11201508938RA (en) 2015-11-27
CN105229494A (zh) 2016-01-06
EP2989568A4 (en) 2016-12-07
AU2013390812B2 (en) 2017-01-12

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MX2015015040A (es) Determinacion de importancia de atributos.