Download PDF by Nuno M.M. Ramos, João M.P.Q. Delgado, Ricardo M.S.F.: Application of Data Mining Techniques in the Analysis of

By Nuno M.M. Ramos, João M.P.Q. Delgado, Ricardo M.S.F. Almeida, Maria L. Simões, Sofia Manuel

ISBN-10: 3319222937

ISBN-13: 9783319222936

ISBN-10: 3319222945

ISBN-13: 9783319222943

The major good thing about the ebook is that it explores to be had methodologies for either undertaking in-situ measurements and competently exploring the consequences, according to a case learn that illustrates the advantages and problems of concurrent methodologies.

The case research corresponds to a collection of 25 social housing dwellings the place an intensive in situ size crusade was once carried out. The dwellings can be found within the comparable area of a urban. Measurements integrated indoor temperature and relative humidity, with non-stop log in numerous rooms of every residing, blower-door checks and whole open air stipulations supplied by means of a close-by climate station.

The ebook contains a number of medical and engineering disciplines, reminiscent of development physics, likelihood and information and civil engineering. It provides a synthesis of the present kingdom of data for advantage of specialist engineers and scientists.

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Additional info for Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions

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It then chooses a second function that is both uncorrelated with the first function and provides as much further separation as possible. The procedure continues adding functions in this way until reaching the maximum number of functions as determined by the number of predictors and categories in the dependent variable. 2 Cluster Analysis The Cluster Analysis procedure is an exploratory tool designed to reveal natural groupings (or clusters) within a data set that would otherwise not be apparent.

The algorithm employed by this procedure has several desirable features that differentiate it from traditional clustering techniques: • The ability to create clusters based on both categorical and continuous variables. • Automatic selection of the number of clusters. • The ability to analyze large data files efficiently. In order to handle categorical and continuous variables, the Cluster Analysis procedure uses a likelihood distance measure which assumes that variables in the cluster model are independent.

3 Tests of normality Normal parameters Most extreme differences Mean Std. 960 Multivariate Data Analysis For the multivariate analysis of the data 11 variables were used: 4 related to indoor temperature, 4 related to the indoor relative humidity, the area (Area), the number of people (N_people) and the airtightness (Rph50). To characterize the internal temperature were used: the daily average (Ti), the 10 % percentile (Ti_10), the 90 % percentile (Ti_90) and the period in which the temperature was below 18 °C (T < 18).

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Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions by Nuno M.M. Ramos, João M.P.Q. Delgado, Ricardo M.S.F. Almeida, Maria L. Simões, Sofia Manuel


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