Displaying similar documents to “Guidelines for the modelling of statistical data and metadata.”

Confidentiality in the European Statistical System.

Photis Nanopoulos (1997)

Qüestiió

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Confidentiality and data protection are the counterparts of the obligation for response and the cornerstone for confidence building between the national statistical services and the respondents. On this common principle the various national statistical systems among the 15 (and other) European states have been established. There is great concern at national and international level on statistical confidentiality. The respect of privacy has led national authorities to develop...

Statistical databases: the reference environment and three layers proposed by Eurostat.

Roger Dubois (1997)

Qüestiió

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The functions of the Eurostat information system are divided into four sectors which correspond to the various stages in the processing of data from their collection to their difussion: - Production: collection, validation and storage of the data and meta-data; - Storage of the reference data (acceptance of the information); - Use of the reference data (visibility/security and find/deliver); - Diffusion. The system of acquisition...

Survival analysis on data streams: Analyzing temporal events in dynamically changing environments

Ammar Shaker, Eyke Hüllermeier (2014)

International Journal of Applied Mathematics and Computer Science

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In this paper, we introduce a method for survival analysis on data streams. Survival analysis (also known as event history analysis) is an established statistical method for the study of temporal “events” or, more specifically, questions regarding the temporal distribution of the occurrence of events and their dependence on covariates of the data sources. To make this method applicable in the setting of data streams, we propose an adaptive variant of a model that is closely related to...

Protecting micro-data by micro-aggregation: the experience in Eurostat.

Daniel Defays (1997)

Qüestiió

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A natural strategy to protect the confidentiality of individual data is to aggregate them at the lowest possible level. Some studies realised in Eurostat on this topic will be presented: properties of classifications in clusters of fixed sizes, micro-aggregation as a generic method to protect the confidentiality of individual data, application to the Community Innovation Survey. The work performed in Eurostat will be put in line with other projects conducted at European level on the...

Teaching Statistics to Engineers: Learning from Experiential Data

Mandrekar, Vidyadhar (2014)

Serdica Journal of Computing

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The purpose of the work is to claim that engineers can be motivated to study statistical concepts by using the applications in their experience connected with Statistical ideas. The main idea is to choose a data from the manufacturing factility (for example, output from CMM machine) and explain that even if the parts used do not meet exact specifications they are used in production. By graphing the data one can show that the error is random but follows a distribution, that is, there...

Data mining techniques using decision tree model in materialised projection and selection view.

Y. W. Teh (2004)

Mathware and Soft Computing

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With the availability of very large data storage today, redundant data structures are no longer a big issue. However, an intelligent way of managing materialised projection and selection views that can lead to fast access of data is the central issue dealt with in this paper. A set of implementation steps for the data warehouse administrators or decision makers to improve the response time of queries is also defined. The study concludes that both attributes and tuples, are important...