在一般健康、抑郁和人口统计学背景下分析活动

F. Murtagh
{"title":"在一般健康、抑郁和人口统计学背景下分析活动","authors":"F. Murtagh","doi":"10.1109/DSAA.2018.00070","DOIUrl":null,"url":null,"abstract":"The contextualizing of large and complex data sources is crucial. Associated with analytical focus can be the addressing of bias in social media and other data sources, and associated with contextualization is Big Data calibration. European Social Survey data is used here, and the main objective is the evaluation of mental health survey data. While specific findings and outcomes are the major objectives here, relating to definition and properties of mental capital, future objectives will be as follows: to plan with metadata and ontology for further, future and rewarding integration with other data sources, both nationally and globally.","PeriodicalId":208455,"journal":{"name":"2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysing Activities, Contextualized for General Health, Depression and Demographics\",\"authors\":\"F. Murtagh\",\"doi\":\"10.1109/DSAA.2018.00070\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The contextualizing of large and complex data sources is crucial. Associated with analytical focus can be the addressing of bias in social media and other data sources, and associated with contextualization is Big Data calibration. European Social Survey data is used here, and the main objective is the evaluation of mental health survey data. While specific findings and outcomes are the major objectives here, relating to definition and properties of mental capital, future objectives will be as follows: to plan with metadata and ontology for further, future and rewarding integration with other data sources, both nationally and globally.\",\"PeriodicalId\":208455,\"journal\":{\"name\":\"2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DSAA.2018.00070\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DSAA.2018.00070","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

大型和复杂数据源的上下文化是至关重要的。与分析焦点相关的是解决社交媒体和其他数据源中的偏见,与情境化相关的是大数据校准。这里使用的是欧洲社会调查数据,主要目的是评价心理健康调查数据。虽然具体的发现和结果是这里的主要目标,与心理资本的定义和属性有关,但未来的目标将如下:与元数据和本体进行规划,以便与其他数据源进行进一步的、未来的和有益的集成,无论是在国内还是在全球。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysing Activities, Contextualized for General Health, Depression and Demographics
The contextualizing of large and complex data sources is crucial. Associated with analytical focus can be the addressing of bias in social media and other data sources, and associated with contextualization is Big Data calibration. European Social Survey data is used here, and the main objective is the evaluation of mental health survey data. While specific findings and outcomes are the major objectives here, relating to definition and properties of mental capital, future objectives will be as follows: to plan with metadata and ontology for further, future and rewarding integration with other data sources, both nationally and globally.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信