[HTML][HTML] Big data quality dimensions: a systematic literature review
Although big data has become an integral part of businesses and society, there is still
concern about the quality aspects of big data. Past research has focused on identifying …
concern about the quality aspects of big data. Past research has focused on identifying …
Big data in maritime archaeology: challenges and prospects from the Middle East and North Africa
ABSTRACT The Middle East and North Africa have witnessed a surfeit of geospatial data
collection projects, resulting in big databases with powerful deductive capacities. Despite …
collection projects, resulting in big databases with powerful deductive capacities. Despite …
Is big digital data different? Towards a new archaeological paradigm
Archaeological data is always incomplete, frequently unreliable, often replete with unknown
unknowns, but we nevertheless make the best of what we have and use it to build our …
unknowns, but we nevertheless make the best of what we have and use it to build our …
Big data quality framework: a holistic approach to continuous quality management
Big Data is an essential research area for governments, institutions, and private agencies to
support their analytics decisions. Big Data refers to all about data, how it is collected …
support their analytics decisions. Big Data refers to all about data, how it is collected …
Big data quality: A quality dimensions evaluation
Data is the most valuable asset companies are proud of. When its quality degrades, the
consequences are unpredictable, can lead to complete wrong insights. In Big Data context …
consequences are unpredictable, can lead to complete wrong insights. In Big Data context …
Use of participatory map** approaches for activity space studies: a brief overview of pros and cons
Participatory map** approaches have raised increasing interest in a variety of fields of
research and practice during the past two decades. However, their use in modeling and …
research and practice during the past two decades. However, their use in modeling and …
Data quality in recommender systems: the impact of completeness of item content data on prediction accuracy of recommender systems
Recommender systems strive to guide users, especially in the field of e-commerce, to their
individually best choice when a large number of alternatives is available. In general …
individually best choice when a large number of alternatives is available. In general …
Something's missing? a procedure for extending item content data sets in the context of recommender systems
The rapid development of e-commerce has led to a swiftly increasing number of competing
providers in electronic markets, which maintain their own, individual data describing the …
providers in electronic markets, which maintain their own, individual data describing the …
Machine learning-based estimated ultimate recovery prediction and sweet spot evaluation of shale oil
L Zhan, J Hu, S Wang, K Wang… - … Journal of Oil, Gas …, 2022 - inderscienceonline.com
In this paper, we propose a machine learning-based, multi-discipline integrated evaluation
workflow to evaluate sweet spots. We predict the estimated ultimate recovery (EUR) map …
workflow to evaluate sweet spots. We predict the estimated ultimate recovery (EUR) map …
[PDF][PDF] From digital archaeology to data-centric archaeological research
Since the end of the 20th century the widespread use of digital applications in archaeology
has legitimized their inclusion in the archaeological toolbox. Together with archaeological …
has legitimized their inclusion in the archaeological toolbox. Together with archaeological …