Results 11 to 20 of about 1,121,640 (280)
Data cleaning: detecting, diagnosing, and editing data abnormalities.
PLoS Medicine, 2005 Jan Van den Broeck +3 more
doaj +2 more sources
Stale View Cleaning: Getting Fresh Answers from Stale Materialized Views [PDF]
, 2015 Materialized views (MVs), stored pre-computed results, are widely used to facilitate fast queries on large datasets. When new records arrive at a high rate, it is infeasible to continuously update (maintain) MVs and a common solution is to defer ...
Franklin, Michael J. +4 more
core +1 more source
The Role of Metadata for Effective Data Warehouse [PDF]
مجلة جامعة الانبار للعلوم الصرفة, 2012 Metadata efficient method for managing Data Warehouse (DW). It is also an effective tool in reducing the time or speed to answer queries. In addition, it achieved capabilities of the integration and standardization, thus lead to faster, clear and ...
Alaa Abdulqahar Jihad, Murtadha M. Hamad
doaj +1 more source
A Benchmark for Data Imputation Methods
Frontiers in Big Data, 2021 With the increasing importance and complexity of data pipelines, data quality became one of the key challenges in modern software applications. The importance of data quality has been recognized beyond the field of data engineering and database ...
Sebastian Jäger +2 more
doaj +1 more source
CleanML: A Study for Evaluating the Impact of Data Cleaning on ML Classification Tasks
, 2020 Data quality affects machine learning (ML) model performances, and data scientists spend considerable amount of time on data cleaning before model training.
Blase, Jennifer +5 more
core +1 more source
Comparision of Constant-Span and Influence Line Methods for Long-Span Bridge Load Calculations
The Baltic Journal of Road and Bridge Engineering, 2016 Traffic load models available in building standards are most often developed for short or medium span bridges, however, it is necessary to develop traffic load models just for long span bridges, because the most unfavourable traffic situations are ...
Ainars Paeglitis, Andris Freimanis
doaj +1 more source
Visualizing the Structure of Large Trees [PDF]
, 2010 This study introduces a new method of visualizing complex tree structured objects. The usefulness of this method is illustrated in the context of detecting unexpected features in a data set of very large trees.
Aydin, Burcu +5 more
core +3 more sources
, 2023 Course material for the webinar “Data Cleaning”, part of a webinar series on research data management (RDM) organized by UiT The Arctic University of Norway.
Solveig A. Cunningham, Jonathan A. Muir
openaire +2 more sources
IoT data cleaning techniques: A survey
Intelligent and Converged Networks, 2022 Data cleaning is considered as an effective approach of improving data quality in order to help practitioners and researchers be devoted to downstream analysis and decision-making without worrying about data trustworthiness.
Xiaoou Ding +5 more
doaj +1 more source
Data Improving in Time Series Using ARX and ANN Models [PDF]
, 2017 Anomalous data can negatively impact energy forecasting by causing model parameters to be incorrectly estimated. This paper presents two approaches for the detection and imputation of anomalies in time series data.
Akouemo Kengmo Kenfack, Hermine Nathalie +1 more
core +2 more sources