CO6430492A2 - Aplicacion de metodos de aprendizaje automatico para extraer reglas de asociacion en conjuntos de datos de animales y plantas que contienen marcadores geneticos moleculares, seguidos por clasificacion o prediccion utilizando caracteristicas creadas d - Google Patents
Aplicacion de metodos de aprendizaje automatico para extraer reglas de asociacion en conjuntos de datos de animales y plantas que contienen marcadores geneticos moleculares, seguidos por clasificacion o prediccion utilizando caracteristicas creadas dInfo
- Publication number
- CO6430492A2 CO6430492A2 CO12008137A CO12008137A CO6430492A2 CO 6430492 A2 CO6430492 A2 CO 6430492A2 CO 12008137 A CO12008137 A CO 12008137A CO 12008137 A CO12008137 A CO 12008137A CO 6430492 A2 CO6430492 A2 CO 6430492A2
- Authority
- CO
- Colombia
- Prior art keywords
- association rules
- prediction
- classification
- animal
- followed
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/02—Knowledge representation; Symbolic representation
- G06N5/022—Knowledge engineering; Knowledge acquisition
- G06N5/025—Extracting rules from data
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01H—NEW PLANTS OR NON-TRANSGENIC PROCESSES FOR OBTAINING THEM; PLANT REPRODUCTION BY TISSUE CULTURE TECHNIQUES
- A01H1/00—Processes for modifying genotypes ; Plants characterised by associated natural traits
- A01H1/04—Processes of selection involving genotypic or phenotypic markers; Methods of using phenotypic markers for selection
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
- G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
- G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
- G16B20/20—Allele or variant detection, e.g. single nucleotide polymorphism [SNP] detection
Abstract
La divulgación se refiere al uso de uno o más algoritmos de extracción de reglas de asociación para extraer conjuntos de datos que contienen características creadas de por lo menos un marcador genético molecular, basado en un animal o planta, encontrar reglas de asociación y utilizar características creadas a partir de estas reglas de asociación para clasificación o predicción.
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US22180409P | 2009-06-30 | 2009-06-30 |
Publications (1)
Publication Number | Publication Date |
---|---|
CO6430492A2 true CO6430492A2 (es) | 2012-04-30 |
Family
ID=42685709
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CO12008137A CO6430492A2 (es) | 2009-06-30 | 2012-01-20 | Aplicacion de metodos de aprendizaje automatico para extraer reglas de asociacion en conjuntos de datos de animales y plantas que contienen marcadores geneticos moleculares, seguidos por clasificacion o prediccion utilizando caracteristicas creadas d |
Country Status (15)
Country | Link |
---|---|
US (1) | US10102476B2 (es) |
EP (1) | EP2449510B2 (es) |
CN (1) | CN102473247B (es) |
AR (2) | AR077103A1 (es) |
AU (2) | AU2010274044B2 (es) |
BR (1) | BRPI1015129A2 (es) |
CA (1) | CA2766914C (es) |
CL (1) | CL2011003328A1 (es) |
CO (1) | CO6430492A2 (es) |
MX (1) | MX2011014020A (es) |
NZ (1) | NZ596478A (es) |
PH (1) | PH12016501806A1 (es) |
RU (1) | RU2607999C2 (es) |
WO (1) | WO2011008361A1 (es) |
ZA (1) | ZA201108579B (es) |
Families Citing this family (83)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8190647B1 (en) * | 2009-09-15 | 2012-05-29 | Symantec Corporation | Decision tree induction that is sensitive to attribute computational complexity |
US8593277B2 (en) | 2011-03-17 | 2013-11-26 | Kaarya, LLC. | System and method for proximity detection |
US8819065B2 (en) * | 2011-07-08 | 2014-08-26 | International Business Machines Corporation | Mining generalized spatial association rule |
US8217945B1 (en) | 2011-09-02 | 2012-07-10 | Metric Insights, Inc. | Social annotation of a single evolving visual representation of a changing dataset |
US9275334B2 (en) * | 2012-04-06 | 2016-03-01 | Applied Materials, Inc. | Increasing signal to noise ratio for creation of generalized and robust prediction models |
US9563669B2 (en) | 2012-06-12 | 2017-02-07 | International Business Machines Corporation | Closed itemset mining using difference update |
US9373087B2 (en) | 2012-10-25 | 2016-06-21 | Microsoft Technology Licensing, Llc | Decision tree training in machine learning |
US9754015B2 (en) * | 2012-11-26 | 2017-09-05 | Excalibur Ip, Llc | Feature rich view of an entity subgraph |
CN103884806B (zh) * | 2012-12-21 | 2016-01-27 | 中国科学院大连化学物理研究所 | 结合二级质谱和机器学习算法的蛋白质组无标记定量方法 |
US20140207799A1 (en) * | 2013-01-21 | 2014-07-24 | International Business Machines Corporation | Hill-climbing feature selection with max-relevancy and minimum redundancy criteria |
US10102333B2 (en) | 2013-01-21 | 2018-10-16 | International Business Machines Corporation | Feature selection for efficient epistasis modeling for phenotype prediction |
US9471881B2 (en) | 2013-01-21 | 2016-10-18 | International Business Machines Corporation | Transductive feature selection with maximum-relevancy and minimum-redundancy criteria |
RU2543315C2 (ru) * | 2013-03-22 | 2015-02-27 | Федеральное государственное автономное образовательное учреждение высшего профессионального образования "Национальный исследовательский университет "Высшая школа экономики" | Способ отбора эффективных вариантов в поисковых и рекомендательных системах (варианты) |
WO2015006517A2 (en) * | 2013-07-10 | 2015-01-15 | Rice Daniel M | Extensions to the generalized reduced error logistic regression method |
US9524510B2 (en) | 2013-10-02 | 2016-12-20 | Turn Inc. | Adaptive fuzzy fallback stratified sampling for fast reporting and forecasting |
US10489707B2 (en) | 2014-03-20 | 2019-11-26 | The Regents Of The University Of California | Unsupervised high-dimensional behavioral data classifier |
US9940343B2 (en) | 2014-05-07 | 2018-04-10 | Sas Institute Inc. | Data structure supporting contingency table generation |
CN104765810B (zh) * | 2015-04-02 | 2018-03-06 | 西安电子科技大学 | 基于布尔矩阵的诊疗规则挖掘方法 |
US10019542B2 (en) | 2015-04-14 | 2018-07-10 | Ptc Inc. | Scoring a population of examples using a model |
US10037361B2 (en) | 2015-07-07 | 2018-07-31 | Sap Se | Frequent item-set mining based on item absence |
CN105160087B (zh) * | 2015-08-26 | 2018-03-13 | 中国人民解放军军事医学科学院放射与辐射医学研究所 | 一种关联规则最优曲线模型的构建方法 |
CN105827603A (zh) * | 2016-03-14 | 2016-08-03 | 中国人民解放军信息工程大学 | 未明协议特征库建立方法、未明报文分类方法及相关装置 |
CN107516022A (zh) * | 2016-06-17 | 2017-12-26 | 北京光大隆泰科技有限责任公司 | 基于离散关联决策树的表型‑基因型的数据处理方法和系统 |
CN106202883A (zh) * | 2016-06-28 | 2016-12-07 | 成都中医药大学 | 一种基于大数据分析建立疾病云图的方法 |
US11222270B2 (en) | 2016-07-28 | 2022-01-11 | International Business Machiness Corporation | Using learned application flow to predict outcomes and identify trouble spots in network business transactions |
US11030673B2 (en) * | 2016-07-28 | 2021-06-08 | International Business Machines Corporation | Using learned application flow to assist users in network business transaction based apps |
RU2649792C2 (ru) * | 2016-09-09 | 2018-04-04 | Общество С Ограниченной Ответственностью "Яндекс" | Способ и система обучения алгоритма машинного обучения |
US10210283B2 (en) | 2016-09-28 | 2019-02-19 | International Business Machines Corporation | Accessibility detection and resolution |
CN106472332B (zh) * | 2016-10-10 | 2019-05-10 | 重庆科技学院 | 基于动态智能算法的宠物喂养方法及系统 |
CN106407711A (zh) * | 2016-10-10 | 2017-02-15 | 重庆科技学院 | 基于云数据的宠物喂养推荐方法及系统 |
WO2018103037A1 (zh) * | 2016-12-08 | 2018-06-14 | 中国种子集团有限公司 | 水稻全基因组育种芯片及其应用 |
EP3340130A1 (en) * | 2016-12-23 | 2018-06-27 | Hexagon Technology Center GmbH | Method for prediction of soil and/or plant condition |
CN106709998A (zh) * | 2016-12-24 | 2017-05-24 | 郑州大学 | 一种农作物叶面属性数字化重建的自组织映射建模方法 |
WO2018129413A1 (en) * | 2017-01-08 | 2018-07-12 | The Henry M. Jackson Foundation For The Advancement Of Military Medicine, Inc. | Systems and methods for using supervised learning to predict subject-specific bacteremia outcomes |
WO2018129414A1 (en) * | 2017-01-08 | 2018-07-12 | The Henry M. Jackson Foundation For The Advancement Of Military Medicine, Inc. | Systems and methods for using supervised learning to predict subject-specific pneumonia outcomes |
CN106803209B (zh) * | 2017-01-13 | 2020-09-18 | 浙江求是人工环境有限公司 | 实时数据库和先进控制算法的作物培育模式分析优化方法 |
CN106886792B (zh) * | 2017-01-22 | 2020-01-17 | 北京工业大学 | 一种基于分层机制构建多分类器融合模型的脑电情感识别方法 |
US20180239866A1 (en) * | 2017-02-21 | 2018-08-23 | International Business Machines Corporation | Prediction of genetic trait expression using data analytics |
CN108733966A (zh) * | 2017-04-14 | 2018-11-02 | 国网重庆市电力公司 | 一种基于决策树群的多维电能表现场状态检验方法 |
RU2672394C1 (ru) * | 2017-07-26 | 2018-11-14 | Общество С Ограниченной Ответственностью "Яндекс" | Способы и системы для оценки обучающих объектов посредством алгоритма машинного обучения |
US11263707B2 (en) | 2017-08-08 | 2022-03-01 | Indigo Ag, Inc. | Machine learning in agricultural planting, growing, and harvesting contexts |
EP3673458A4 (en) | 2017-08-25 | 2021-05-12 | The Board of Trustees of the University of Illinois | DEVICE AND METHOD FOR COLLECTING AGRICULTURAL DATA AND AGRICULTURAL OPERATIONS |
CN107679368A (zh) * | 2017-09-11 | 2018-02-09 | 宁夏医科大学 | 基于遗传算法和变精度粗糙集的pet/ct高维特征级选择方法 |
CN107844602B (zh) * | 2017-11-24 | 2021-03-16 | 重庆邮电大学 | 一种基于时空属性关联规则的预测方法 |
CN108280289B (zh) * | 2018-01-22 | 2021-10-08 | 辽宁工程技术大学 | 基于局部加权c4.5算法的冲击地压危险等级预测方法 |
CN108307231B (zh) * | 2018-02-14 | 2021-01-08 | 南京邮电大学 | 基于遗传算法的网络视频流特征选择与分类方法 |
US11367093B2 (en) | 2018-04-24 | 2022-06-21 | Indigo Ag, Inc. | Satellite-based agricultural modeling |
US20190325466A1 (en) | 2018-04-24 | 2019-10-24 | Indigo Ag, Inc. | Satellite-based agricultural modeling |
US11531934B2 (en) * | 2018-05-31 | 2022-12-20 | Kyndryl, Inc. | Machine learning (ML) modeling by DNA computing |
CN109308936B (zh) * | 2018-08-24 | 2020-09-01 | 黑龙江省稻无疆农业科技有限责任公司 | 一种粮食作物产地的识别方法、识别装置及终端识别设备 |
CN109300502A (zh) * | 2018-10-10 | 2019-02-01 | 汕头大学医学院 | 一种从多组学数据中分析关联变化模式的系统和方法 |
CN109918708B (zh) * | 2019-01-21 | 2022-07-26 | 昆明理工大学 | 一种基于异质集成学习的材料性能预测模型构建方法 |
CN116895334A (zh) * | 2019-03-11 | 2023-10-17 | 先锋国际良种公司 | 用于估算或预测基因型和表型的方法和组成 |
WO2020185751A1 (en) | 2019-03-11 | 2020-09-17 | Pioneer Hi-Bred International, Inc. | Methods for clonal plant production |
TWI759586B (zh) * | 2019-03-18 | 2022-04-01 | 崑山科技大學 | 農田澆灌建議方法 |
WO2020214699A1 (en) * | 2019-04-15 | 2020-10-22 | Sports Data Labs, Inc. | Animal data prediction system |
CN110119551B (zh) * | 2019-04-29 | 2022-12-06 | 西安电子科技大学 | 基于机器学习的盾构机刀具磨损退化关联特征分析方法 |
US10515715B1 (en) | 2019-06-25 | 2019-12-24 | Colgate-Palmolive Company | Systems and methods for evaluating compositions |
EP3997546A4 (en) * | 2019-07-08 | 2023-07-12 | Indigo AG, Inc. | CROP YIELD FORECAST MODELS |
CN110334133B (zh) * | 2019-07-11 | 2020-11-20 | 北京京东智能城市大数据研究院 | 规则挖掘方法和装置、电子设备和计算机可读存储介质 |
CN110777214B (zh) * | 2019-07-11 | 2022-05-27 | 东北农业大学 | 与玉米种子耐储性紧密连锁的ssr标记及其在分子标记辅助育种中的应用 |
US20210110298A1 (en) * | 2019-10-15 | 2021-04-15 | Kinaxis Inc. | Interactive machine learning |
US11886514B2 (en) | 2019-10-11 | 2024-01-30 | Kinaxis Inc. | Machine learning segmentation methods and systems |
US11526899B2 (en) | 2019-10-11 | 2022-12-13 | Kinaxis Inc. | Systems and methods for dynamic demand sensing |
CN111103157A (zh) * | 2019-11-26 | 2020-05-05 | 通鼎互联信息股份有限公司 | 一种基于生物启发频繁项集挖掘的工业设备状态监测方法 |
US11544593B2 (en) * | 2020-01-07 | 2023-01-03 | International Business Machines Corporation | Data analysis and rule generation for providing a recommendation |
US11176924B2 (en) | 2020-01-09 | 2021-11-16 | International Business Machines Corporation | Reduced miss rate in sound to text conversion using banach spaces |
US11669794B2 (en) * | 2020-04-06 | 2023-06-06 | Johnson Controls Tyco IP Holdings LLP | Building risk analysis system with geographic risk scoring |
CN111540408B (zh) * | 2020-05-12 | 2023-06-02 | 西藏自治区农牧科学院水产科学研究所 | 一种全基因组多态性ssr分子标记的筛选方法 |
CN111738138B (zh) * | 2020-06-19 | 2024-02-02 | 安徽大学 | 一种耦合气象特征区域尺度的小麦条绣病严重度遥感监测方法 |
CN111784071A (zh) * | 2020-07-14 | 2020-10-16 | 北京月新时代科技股份有限公司 | 一种基于Stacking集成的许可占用与预测方法及系统 |
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US20240104430A1 (en) * | 2021-01-21 | 2024-03-28 | Nec Corporation | Information processing apparatus, feature quantity selection method, training data generation method, estimation model generation method, stress level estimation method, and storage medium |
CN113053459A (zh) * | 2021-03-17 | 2021-06-29 | 扬州大学 | 一种基于贝叶斯模型整合亲本表型的杂交种预测方法 |
CN113381973B (zh) * | 2021-04-26 | 2023-02-28 | 深圳市任子行科技开发有限公司 | 一种识别ssr流量的方法、系统以及计算机可读存储介质 |
US11748384B2 (en) | 2021-05-28 | 2023-09-05 | International Business Machines Corporation | Determining an association rule |
CN113535694A (zh) * | 2021-06-18 | 2021-10-22 | 北方民族大学 | 一种基于Stacking框架的特征选择方法 |
CA3230474A1 (en) | 2021-08-31 | 2023-03-09 | Eleanor Elizabeth Campbell | Systems and methods for ecosystem credit recommendations |
CN114780599A (zh) * | 2022-04-06 | 2022-07-22 | 四川农业大学 | 基于小麦品比试验数据的综合分析系统 |
CN116189907B (zh) * | 2022-12-05 | 2023-09-05 | 广州盛安医学检验有限公司 | 一种适用于新生儿的遗传代谢病智能筛查系统 |
CN117461500B (zh) * | 2023-12-27 | 2024-04-02 | 北京市农林科学院智能装备技术研究中心 | 加速作物育种的植物工厂系统、方法、装置、设备及介质 |
Family Cites Families (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CA2180386C (en) | 1996-07-03 | 2006-09-12 | Lorin R. Debonte | Canola oil having increased oleic acid and decreased linolenic acid content |
US20030130991A1 (en) | 2001-03-28 | 2003-07-10 | Fidel Reijerse | Knowledge discovery from data sets |
EP1449108A4 (en) | 2001-11-07 | 2006-11-22 | Health Discovery Corp | CLASSIFICATION OF CHARACTERISTICS PRETRATED FOR A SUPPORT VECTOR MACHINE |
RU2215406C2 (ru) | 2002-01-03 | 2003-11-10 | Государстенное научное учреждение РАСХН - Всероссийский научно-исследовательский институт масличных культур им. В.С. Пустовойта | Способ создания форм сои с измененным жирно-кислотным составом масла |
EP1626621A4 (en) | 2003-05-28 | 2009-10-21 | Pioneer Hi Bred Int | PLANT SELECTION METHOD |
CN101151615A (zh) | 2005-03-31 | 2008-03-26 | 皇家飞利浦电子股份有限公司 | 用于收集与生物分子和疾病之间的关系相关的证据的系统和方法 |
US7836004B2 (en) | 2006-12-11 | 2010-11-16 | International Business Machines Corporation | Using data mining algorithms including association rules and tree classifications to discover data rules |
KR20100029104A (ko) | 2007-06-20 | 2010-03-15 | 인터내쇼날 플라워 디벨럽먼트 피티와이. 리미티드 | 플라본 및 델피니딘을 함유하는 장미 및 그 생산 방법 |
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ZA201108579B (en) | 2013-01-30 |
PH12016501806A1 (en) | 2018-06-11 |
WO2011008361A1 (en) | 2011-01-20 |
EP2449510B1 (en) | 2019-07-31 |
AU2015243031A1 (en) | 2015-11-05 |
CA2766914C (en) | 2019-02-26 |
CN102473247B (zh) | 2017-02-08 |
US10102476B2 (en) | 2018-10-16 |
AU2015243031B2 (en) | 2016-12-22 |
CA2766914A1 (en) | 2011-01-20 |
NZ596478A (en) | 2014-04-30 |
US20100332430A1 (en) | 2010-12-30 |
AU2010274044B2 (en) | 2015-08-13 |
CN102473247A (zh) | 2012-05-23 |
MX2011014020A (es) | 2012-02-28 |
AU2010274044A1 (en) | 2012-01-19 |
EP2449510A1 (en) | 2012-05-09 |
CL2011003328A1 (es) | 2012-08-31 |
RU2607999C2 (ru) | 2017-01-11 |
AR107503A2 (es) | 2018-05-09 |
EP2449510B2 (en) | 2022-12-21 |
BRPI1015129A2 (pt) | 2016-07-12 |
AR077103A1 (es) | 2011-08-03 |
RU2012103024A (ru) | 2013-08-10 |
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