Study of Spatial Data Quality Elements and VGI Linear Data Quality Assessment Methods

Quality Attributes & Methods for VGI

The widespread use of GPS-equipped devices such as smartphones and tablets and the easy handling of online maps are simplifying the production and dissemination of volunteered geographic information (VGI) through the internet. VGI systems collect and distribute this type of information and can be used, for example, in cases of natural disasters, mapping, city management, etc. In some cases, the...

A classification of data quality assessment methods

Data quality (DQ) assessment can be significantly enhanced with the use of the right DQ assessment methods, which provide automated solutions to assess DQ. The range of DQ assessment methods is very broad: from data profiling and semantic profiling to data matching and data validation. This paper gives an overview of current methods for DQ assessment and classifies the DQ assessment methods int...

data mining rules and classification methods in insurance: the case of collision insurance

assigning premium to the insurance contract in iran mostly has based on some old rules have been authorized by government, in such a situation predicting premium by analyzing database and it’s characteristics will be definitely such a big mistake. therefore the most beneficial information one can gathered from these data is the amount of loss happens during one contract to predicting insurance ...

GUIDANCE FOR DATA QUALITY ASSESSMENT Practical Methods for Data Analysis

FOREWORD This is the 1996 (QA96) version of Guidance for Data Quality Assessment, EPA QA/G-9. The Environmental Protection Agency (EPA) has developed the Data Quality Assessment (DQA) Process as an important tool for project managers and planners to determine whether the type, quantity, and quality of data needed to support Agency decisions has been achieved. This guidance is the culmination of...

Spatial Data Quality

A classification of data quality assessment and improvement methods

Data quality (DQ) assessment and improvement in larger information systems would often not be feasible without using suitable “DQ methods”, which are algorithms that can be automatically executed by computer systems to detect and/or correct problems in datasets. Currently, these methods are already essential, and they will be of even greater importance as the quantity of data in organisational ...