Titlebook: Classification and Data Analysis; Theory and Applicati Krzysztof Jajuga,Jacek Batóg,Marek Walesiak Conference proceedings 2020 Springer Nat

Gorilla

Prentice–Williams–Peterson Models in the Assessment of the Influence of the Characteristics of the Urata are created by subsequent events. These models are an extension of the classical approach to survival analysis. In the study, individual data of persons registered in the Poviat Labour Office in Szczecin were used. The research revealed that age and education influenced the risk of multiple reg

Hiatus

Comparison of Proposals of Transformation of Nominants into Stimulants on the Example of Financial Rtains nominants next to stimulants and destimulants, there is need to transform nominants into stimulants in order to have comparable variables. The paper focuses on the formulas of transformation of nominants with a recommended range of values into stimulants with the range of [0; 1]. Because durin

施魔法

Silhouette Index as Clustering Evaluation Toolation as a synthetic indicator allowing to measure the general quality of clustering (relative compactness and separability of clusters—see Walesiak and Gatnar in Statystyczna analiza danych z wykorzystaniem programu R. PWN, Warszawa, p. 420, .). Its advantage is low computational complexity and sim

偽善

The Role of Discretization of Continuous Variables in Socioeconomic Classification Models on the Exaraw data is the discretization of continuous variables. It can be a way to deal with outliers and influential observations and can be helpful when the assumptions of some of the models are not met. This paper shows that despite the fact that the discretization of continuous variables means that redu

宮殿般

Intuitionistic Fuzzy Synthetic Measure for Ordinal Data fuzzy synthetic measure allows for a comparative analysis of objects due to the complex phenomenon described by ordinal measurement scales. It also allows for taking into account the uncertainty in comparing objects expressed in the form of neutral points on the ordinal measurement scales. The prop

大廳

Improving Classification Accuracy of Ensemble Learning for Symbolic Data Trough Neural Networks’ Feahe model). One of the approaches that allow to improve model’s accuracy is the selection of variables and the second one is the transformation of variables. The paper presents a procedure that combines these two approaches—extracting variables from neural networks (multilayer perceptron for symbolic

謊言

Inequality Restricted Least Squares (IRLS) Model of Real Estate Pricesat a model with restrictions enables a more precise determination of the impact of real property attributes on the prices than an analogous model without restrictions. The so-called Szczecin algorithm of real estate mass appraisal serves as a starting point for the model determination. A unitary pri

Scleroderma

戰(zhàn)役

Segmentation of Enterprises on the Basis of Their Duration Using Survival Trees—Results of an Analysional entities without legal personality, firm’s duration is significantly longer than in terms of natural persons conducting economic activity. These entities constitute a clearly different group of enterprises. The article presents the results of an analysis, whose aim was the segmentation of lega

institute

Corporate Bankruptcy Prediction with the Use of the Logit Leaf Modelnhances logistic regression and decision tree. The logit leaf model consists of two stages. In the first stage, company sets are identified using decision tree, and in the second stage a logit model is created for every leaf of this tree. The purpose of the paper is to present the results of the res