Data quality
REVISITING THE PROCEDURES FOR THE VECTOR DATA QUALITY ASSURANCE IN PRACTICE
... Spatial data quality is well-known by academia and industry but usually in different ...spatial data quality stated several issues having practical use such as descriptive information as ...
5
DATA QUALITY IN THE INTEGRATION AND ANALYSIS OF DATA FROM MULTIPLE SOURCES: SOME RESEARCH CHALLENGES
... geographic data, a fundamental consideration is – how fit are the data for the specific use and user? Often the problem or decision requires data from different sources to be used ...address ...
5
Measuring Data Quality in Analytical Projects
... appropriate data quality tool. Once the data profiling process is completed and all the problems have been identified, special attention must be paid to data ...of data we can detect ...
11
Quality control of CarboEurope flux data – Part 1: Coupling footprint analyses with flux data quality assessment to evaluate sites in forest ecosystems
... overall data qual- ity depending on the three different types of infrared gas ana- lyzers and four different types of sonic anemometer installed at the analyzed sites, but METEK USA1 anemometers seem to introduce ...
18
Data Quality in Hybrid Neuro-Fuzzy based Soft-Sensor Models: An Experimental Study
... the quality of the training as well as of the testing data also plays a crucial role in determining the performance of the soft ...of data quality on the performance of an ANFIS based soft ...
12
A Fuzzy Approach for Data Quality Assessment of Linked Datasets
... Data quality is commonly conceived as a multi- dimensional construction with dimensions such as timeliness, completeness, consistency, interoperabil- ity, conciseness, representational conciseness and ...
8
Data quality assessment of nignet network
... The principal objective of this research project is to assess the data quality of NIGNET Network by processing the data and analysing the derived Time Series. This was done by evaluating the errors ...
22
Data Quality Assessment Model for Data Migration Business Enterprise
... After Data migration | ETL process from legacy system to data warehouse / target system, need to assess the data quality of the target system with respect to underlying data, author ...
9
MuMoCo : a Framework for Improving Data Quality with Multi-modality Cooperation in Wireless Sensor Networks
... sensor data is another basic problem about data quality improvement, which can solve data missing or erroneous data ...the data set and express the input mode of missing ...
8
Corporate Data Quality Management
... information quality, including setting data quality policies and guidelines, data quality measurement (including data quality auditing and certification), data ...
8
Analysis of Atmospheric Conditions: Data Quality and Stationarity in Perdigao
... acquire data regarding the influence exerted by an upstream hill with flow separation on the wind speed and downhill ...(...) data set for high-fidelity micro scale simulations and forecasting as well as ...
144
Data Mining e Data Quality em dados da saúde
... Saúde), data mining, data science, business intelligence, big data e ...com data igual ou superior a 2000, salvo raras exceções referentes a artigos ou autores relevantes para este projeto de ...
89
Analysing data from pension schemes : data quality and relevance for actuarial valuations
... the data is received, there are guidelines regarding how to check the data to assess its ...The data comes with definitions and clear names, in order to know what it refers to (when this is not the ...
45
C ORPORATE DATA QUALITYM ANAGEMENT INC ONTEXT
... of data as an asset” [30, ...total quality management (TQM) concepts and practices to improve data and information quality, including setting data quality policies and ...
19
Historical data management in big databases
... any data management plan are related with data integration and consistency, dimension reduction, redundancy removal, data cleaning, documentation development about governance policies and data ...
101
Automated quality control methods for sensor data: a novel observatory approach
... to data quality control, as well as interoperability of data among sensor ...of data per year. These data are then used to create other datasets and sub- sequent “higher-level” ...
15
Modeling processes on topographic maps
... Topographic data represents fundaments of many studies and geospace ...themselves data represents nothing without modeling and supported ...topographic data modeling. Process modelling or re trieval ...
12
GEOMETRIC QUALITY ASSESSMENT OF LIDAR DATA BASED ON SWATH OVERLAP
... It is suggested that 4000-5000 points are uniformly sampled in the overlapping regions of the point cloud, and depending on the surface roughness, to measure the discrepancy between swaths. Care must be taken to sample ...
7
Enhanced Architecture of a Web Warehouse based on Quality Evaluation Framework to Incorporate Quality Aspects in Web Warehouse Creation
... web data. Taking the advantage of data warehouse functionality and integrating it with the web to retrieve relevant data is the core concept of web ...web data for business decision ...The ...
5
A guide for digitising manuscript climate data
... the data (informational ...available data. This leads to a decision concerning which data series should be digitised (any a priori information on the data quality, ...upper-air ...
8