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

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 publication is that it explores on hand methodologies for either undertaking in-situ measurements and appropriately exploring the implications, in response to a case learn that illustrates the advantages and problems of concurrent methodologies.

The case examine corresponds to a suite of 25 social housing dwellings the place an in depth in situ dimension crusade used to be carried out. The dwellings can be found within the related region of a urban. Measurements integrated indoor temperature and relative humidity, with non-stop log in several rooms of every living, blower-door assessments and entire open air stipulations supplied through a close-by climate station.

The e-book incorporates a number of medical and engineering disciplines, corresponding to development physics, chance and facts and civil engineering. It provides a synthesis of the present country of information for advantage of expert engineers and scientists.

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Extra resources for Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions

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The variables x1, x2, x4 and x5 are well represented in plan, as are close to the unit circle: x1 and x2 are strongly correlated, but are independent of the variables x4 and x5, which between themselves have a correlation strong negative. As for the variable x3, misrepresented this plan, nothing can be concluded. If the coordinates of the variables are interpretable in terms of correlations, the same does not happen with individuals. The analysis of cloud Rp is done in relation to the centre of gravity, and the Euclidean distance measure that quantifies the relationship (near and oppositions) between the points.

E. the distance between the two subjects that are furthest apart. This method tends to produce compact clusters of similar size but, as for the nearest neighbour method, does not take account of cluster structure. It is also quite sensitive to outliers. 28 3 Data Mining Techniques Average (between groups) linkage method The distance between two clusters is calculated as the average distance between all pairs of subjects in the two clusters. This is considered to be a fairly robust method. Centroid method Here the centroid (mean value for each variable) of each cluster is calculated and the distance between centroids is used.

Fig. 3 Measurement Results 35 Fig. 3 Indoor Relative Humidity In Figs. 7 the hourly average indoor relative humidity values in the different flats is presented. As the data from the temperature, the average relative humidity presented a higher variation range in the winter than in the summer Fig. 6 Indoor relative humidity through 8 consecutive days in January in each flat of the sample 36 4 Case Study Fig. 7 Indoor relative humidity through 8 consecutive days in August in each flat of the sample although the difference is rather less significant.

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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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