نتایج جستجو برای: data quality model
تعداد نتایج: 4456840 فیلتر نتایج به سال:
Dependencies among data quality dimensions, although they are not thoroughly and deeply analyzed in the research area of information quality, represent an issue of primary importance. The knowledge on dependencies can help the data quality analyst in finding errors, it can be useful to assess the quality level of a data set, which can improve knowledge on data quality dimensions. This paper pro...
a frame semantic approach to the study of translating cultural scripts in salingers franny and zooey
the frame semantic theory is a nascent approach in the area of translation studies which goes beyond the linguistic barriers and helps us to incorporate cognitive and cultural factors to the study of translation. based on rojos analytical model (2002b), which centered in the frames or knowledge structures activated in the text, the present research explores the various translation problems that...
Information quality has already become a decisive factor in information dependent business. Much has been said about the growing importance of data and information quality, and many researching lines over the last decade have looked at specific data and information quality issues from different standpoints. However data and information quality goes beyond the definition of data quality dimensio...
Information quality has become a decisive factor in organizations since it is the basis of strategic decisions. Many researching lines over the last decade have looked at specific data and information quality issues from different standpoints. Taking care about data and information quality goes beyond the definition of data quality dimensions, and today, there is still a lack of an integrative ...
Crowdsourced ratings are an increasingly important data source, leveraging the abundance of internet connected consumer devices to boost sample sizes. In this paper, we examine a data set of crowdsourced bicycle route ratings in Portland, OR collected by the Ride Report app. We fit multilevel models that show ratings are best described by models with random intercepts by rider. We also show tha...
The Linking Open Data (LOD) initiative is turning large resources of publicly available structured data from various domains into interlinked RDF(S) facts to constitute the so-called “Web of Data”. But, this Web of Data is by no means a perfect world of consistent and valid facts. Linked Data has multiple dimensions of shortcomings ranging from simple syntactical errors over logical inconsisten...
abstract: mineral scaling in oil and gas production equipment is one of the most important problem that occurs while water injection and it has been recognized to be a major operational problem. the incompatibility between injected and formation waters may result in inorganic scale precipitation in the equipment and reservoir and then reduction of oil production rate and water injection rate. ...
this thesis is a study on insurance fraud in iran automobile insurance industry and explores the usage of expert linkage between un-supervised clustering and analytical hierarchy process(ahp), and renders the findings from applying these algorithms for automobile insurance claim fraud detection. the expert linkage determination objective function plan provides us with a way to determine whi...
Over the last 20 years, and particularly with the advent of Big Data and analytics, the research area around Data and Information Quality (DIQ) is still a fast growing research area. There are many views and streams in DIQ research, generally aiming at improving the effectiveness of decision making in organizations. Although there are a lot of researches aimed at clarifying the role of BIG data...
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