scholarly journals Conference facilities as a key factor in the competitiveness of urban hotels: A case study of Łódź (Poland)

2020 ◽  
Vol 10 (3) ◽  
pp. 229-240
Author(s):  
Joanna Bik ◽  
Anna Poreda ◽  
Andrzej Matczak
Keyword(s):  
Exploratory Data Analysis ◽  
Field Research ◽  
Urban Tourism ◽  
Service Capacity ◽  
Key Factor ◽  
Conference Service ◽  
Exploratory Data ◽  
Mice Tourism ◽  
Correct Measure

Abstract The article aims to assess the competitiveness of hotels in Łódź on the meeting tourism (MICE) market based on an analysis of their conference facilities. The data was obtained from GUS statistics, reports on MICE tourism in Poland and as a result of own field research carried out in 2019. Exploratory data analysis was used in their development. The development of modern hotels in Łódź of higher categories with obligatory conference rooms has contributed to the diversification of the possibilities of organising MICE tourism by city hotels. The hotel’s possession of conference facilities has become an important factor in building its competitive advantage. The analysis of hotel equipment with conference facilities, using the conference service capacity (CSC) index, turned out to be a sufficiently correct measure to illustrate the diversity of hotels’ ability to compete in the MICE urban tourism market.

Selecting Robust Kinetic Models on Noisy Data Using the Bootstrap

2007 ◽  
Vol 5 (1) ◽  
Author(s):  
Cayle J Sharrock ◽  
Roelof Coetzer
Keyword(s):  
Systematic Approach ◽  
Exploratory Data Analysis ◽  
Noisy Data ◽  
Water Gas Shift ◽  
Industrial Case Study ◽  
Analysis Techniques ◽  
Exploratory Data ◽  
Shift Reaction ◽  
Water Gas

A systematic approach to identifying a robust kinetic model fitted on noisy data is presented. The bootstrap coupled with Monte-Carlo simulations and exploratory data analysis techniques are employed to evaluate candidate model formulations to given sets of experimental data. The approach is applied in an industrial case study in determining the most practical rate expression for the water-gas shift reaction over a cobalt Fischer-Tropsch catalyst.

scholarly journals Exploratory Analysis of Public Transportation Data in Curitiba

2020 ◽  
Author(s):  
Nádia P. Kozievitch ◽  
Tatiana M. C. Gadda ◽  
Keiko V. O. Fonseca ◽  
Marcelo O. Rosa ◽  
Luiz C. Gomes Jr. ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Public Transportation ◽  
Exploratory Data Analysis ◽  
User Behavior ◽  
Transportation Systems ◽  
Urban Mobility ◽  
Smart Transportation ◽  
Exploratory Data ◽  
Over Time

Smart transportation systems have been providing more data over time (such as bus routes, users, smartphones, etc.). Such data provides a number of opportunities to identify various facets of user behavior and traffic trends. In this paper we address some of the urban mobility challenges (already discussed by the Brazilian Computer Society), from a number of different perspectives, including (i) pattern discovery, (ii) statistical analysis, (iii) data integration, and (iv) open and connected data. In particular, we present an exploratory data analysis with GIS for public transportation toward a case study in Curitiba, Brazil.

Unternehmenskultur im Fusionsprozess von Genossenschaftsbanken

2020 ◽  
Author(s):  
Simon J. Micken
Keyword(s):  
Quantitative Assessment ◽  
Exploratory Data Analysis ◽  
Special Importance ◽  
Measurement Instruments ◽  
Cultural Elements ◽  
Exploratory Data ◽  
Cooperative Banks ◽  
Post Merger Integration ◽  
Merger Integration

Corporate cultures are attributed special importance in the context of mergers. This is particularly relevant for cooperative banks in view of an ongoing concentration process at the level of cooperative primary banks. Building on earlier work on this topic, this study reveals initial relationships between cultural elements and merger processes, especially in the post-merger integration phase, using a case study and exploratory data analysis. In addition to the implications for culture-sensitive merger management resulting from this, the book discusses the potential and limitations of a quantitative assessment of the phenomenon and the suitability of the measurement instruments used.

scholarly journals A Sensor-Based Methodology to Differentiate Pure and Mixed White Tequilas Based on Fused Infrared Spectra and Multivariate Data Treatment

Chemosensors ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 47
Author(s):  
Christian Hazael Pérez-Beltrán ◽  
Víctor M. Zúñiga-Arroyo ◽  
José M. Andrade ◽  
Luis Cuadros-Rodríguez ◽  
Guadalupe Pérez-Caballero ◽  
...  
Keyword(s):  
Data Analysis ◽  
Ir Spectra ◽  
Multivariate Data Analysis ◽  
Exploratory Data Analysis ◽  
Multivariate Data ◽  
Simple Application ◽  
Infrared Measurements ◽  
Exploratory Data ◽  
Pls Discriminant Analysis

Mexican Tequila is one of the most demanded import spirits in Europe. Its fast-raising worldwide request makes counterfeiting a profitable activity affecting both consumers and legal distillers. In this paper, a sensor-based methodology based on a combination of infrared measurements (IR) and multivariate data analysis (MVA) is presented. The case study is about differentiating two categories of white Tequila: pure Tequila (or ‘100% agave’) and mixed Tequila (or simply, Tequila). The IR spectra were treated and fused with a low-level approach. Exploratory data analysis was performed using PCA and partial least squares (PLS), whilst the authentication analyses were carried out with PLS-discriminant analysis (DA) and soft independent modeling for class analogy (SIMCA) models. Results demonstrated that data fusion of IR spectra enhanced the outcomes of the authentication models capable of differentiating pure from mixed Tequilas. In fact, PLS-DA presented the best results which correctly classified all fifteen commercial validation samples. The methodology thus presented is fast, cheap, and of simple application in the Tequila industry.

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