Data-Driven Model Validation Across Dimensions
نویسندگان
چکیده
منابع مشابه
Aggregating Data Believability across Quality Sub-dimensions and Data Lineage
Data quality is crucial for operational efficiency and sound decision making. This paper focuses on believability, a major aspect of data quality. The issue of believability is particularly relevant in the context of Web 2.0, where mashups facilitate the combination of data from different sources. Our approach for assessing data believability is based on provenance and lineage, i.e. the origin ...
متن کاملpredicting streamflow using data-driven model and time series
accurate forecasting of streamflows has been one of the most important issues as it plays a key role in allotment of water resources. river flow simulations to determine the future river flows are important and practical. given the importance of flow in the coming years, in this research three stations: haji qooshan, ghare shoor and tamar in gorganrood cachment were simulated in 2002-2011. to s...
متن کاملContext-Specific Validation of Data-Driven Models
With an increasing use of data-driven models to control robotic systems, it has become important to develop a methodology for validating such models before they can be deployed to design a controller for the actual system. Specifically, it must be ensured that the controller designed for a learned model would perform as expected on the actual physical system. We propose a context-specific valid...
متن کاملAllik Personality Dimensions across Cultures Personality Dimensions across Cultures
In order to generalize the dimensional structure of personality—relatively independent groups of covarying traits—across languages and cultures, a large number of cultures must be studied. Until recently only a few worldwide personality datasets have been available. The first large–scale studies indicate that the pattern of covariation between personality traits is universal and is relatively e...
متن کاملIncreasing Operating Room Profits and Decreasing Wait Lists by Use of a Data-Driven Overbooking Model
Background and Objectives: Operating rooms (ORs) are precious resources in hospitals, as they constitute more than 40% of the hospital revenues.As such, surgical cancellations are very costly to hospitals. Same-day surgery cancellations or no-shows were found to be the main contributing factor to underutilization of operating rooms (ORs) in a public-sector hospital despite the ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Bulletin of Mathematical Biology
سال: 2019
ISSN: 0092-8240,1522-9602
DOI: 10.1007/s11538-019-00590-4