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نتیجه جستجو - اعتبار سنجی داده ها

تعداد مقالات یافته شده: 2
ردیف عنوان نوع
1 Lifelogging Data Validation Model for Internet of Things Enabled Personalized Healthcare
مدل اعتبار سنجی داده های عمر برای اینترنت اشیاء فعال سلامت شخصی شده -2017
Internet of Things (IoT) technology offers opportunities to monitor lifelogging data by a variety of assets, like wearable sensors, mobile apps, etc. But due to heterogeneity of connected devices and diverse human life patterns in an IoT environment, lifelogging personal data contains huge uncertainty and are hardly used for healthcare studies. Effective validation of lifelogging personal data for longitudinal health assessment is demanded. In this paper, lifelogging physical activity (LPA) is taken as a target to explore how to improve the validity of lifelogging data in an IoT enabled healthcare system. A rule-based adaptive LPA validation (LPAV) model, LPAV-IoT, is proposed for eliminating irregular uncertainties (IUs) and estimating data reliability in IoT healthcare environments. A methodology specifying four layers and three modules in LPAV-IoT is presented for analyzing key factors impacting validity of LPA. A series of validation rules are designed with uncertainty threshold parameters and reliability indicators and evaluated through experimental investigations. Following LPAV-IoT, a case study on a personalized healthcare platform myhealthavatar connecting three state-of-the-art wearable devices and mobile apps are carried out. The results reflect that the rules provided by LPAV-IoT enable efficiently filtering at least 75% of IU and adaptively indicating the reliability of LPA data on certain condition of IoT environments.
Index Terms: Data validation | Internet of Things (IoT) | personalized healthcare | physical activity
مقاله انگلیسی
2 Big Data Validation and Quality Assurance – Issuses, Challenges, and Needs
اعتبار سنجی و تضمین کیفیت داده های بزرگ- مسائل، چالش ها و نیازها-2016
With the fast advance of big data technology and analytics solutions, big data computing and service is becoming a very hot research and application subject in academic research, industry community, and government services. Nevertheless, there are increasing data quality problems resulting in erroneous data costs in enterprises and businesses. Current research seldom discusses how to effectively validate big data to ensure data quality. This paper provides informative discussions for big data validation and quality assurance, including the essential concepts, focuses, and validation process. Moreover, the paper presents a comparison among big data validation tools and several major players in industry are discussed. Furthermore, the primary issues, challenges, and needs are discussed.
Keywords: Quality assurance | big data quality assurance | big data validation | data validation
مقاله انگلیسی
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