Temat: clustering tools - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Application of agglomerative and partitional algorithms for the study of the phenomenon of the collaborative economy within the tourism industry
Autorzy:: Pérez-Rocha, Juan Manuel
Soria-Alcaraz, Jorge Alberto
Guerrero-Rodriguez, Rafael
Purata-Sifuentes, Omar Jair
Espinal, Andrés
Sotelo-Figueroa, Marco Aurelio
Powiązania:: https://bibliotekanauki.pl/articles/385106.pdf
Data publikacji:: 2020
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: clustering tools
tourism industry
collaborative economy
Opis:: This research discusses the application of two different clustering algorithms (agglomerative and partitional) to a set of data derived from the phenomenon of the collaborative economy in the tourism industry known as Airbnb. In order to analyze this phenomenon, the algorithms are known as “hierarchical Tree” and “K-Means” were used with the objective of gaining a better understanding of the spatial configuration and current functioning of this complimentary lodging offer. The city of Guanajuato, Mexico was selected as the case for convenience purposes and the main touristic attractions were used as parameters to conduct the analysis. Cluster techniques were applied to both algorithms and the results were statistically compared.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2020, 14, 1; 81-86
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 2.

Tytuł:: Framing coworking spaces marketing strategies via social media indices
Określenie zakresu strategii mar- ketingowych przestrzeni coworkingowych na podstawie wskaźników mediów społecznościowych
Autorzy:: Vagianos, Dimitrios
Koutsoupias, Nikos
Powiązania:: https://bibliotekanauki.pl/articles/1195960.pdf
Data publikacji:: 2021
Wydawca:: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:: multiple correspondence analysis
hierarchical clustering
social media marketing tools
coworking spaces
Opis:: In this paper an investigation of social media marketing techniques of Coworking spaces’ type of business is performed, using datasets acquired using social media monitoring tools. Mediatoolkit has been used to scrap data deriving from the activity of the WeWork Instagram and Twitter accounts which were collected on a 24/7 basis from varying locations and in multiple languages in a fifteen-day time window. Indices related to sentiment, reach, influence, number of followers, retweets, likes, comments, and view scores formed the datasets that were examined by applying multiple correspondence analysis as well as the hierarchical clustering method. The aim of this paper was to explore the inherent properties of the multiple indices describing the general realm of social media marketing tools, and more specifically aspires to provide digital marketers with an alternative perspective of social media marketing strategies related to the emerging coworking spaces type of business. The authors identified three classes/segments of posts, whereas post polarity tends to relate to geographic location, regardless of the social media channel used for posting.
Źródło:: Econometrics. Ekonometria. Advances in Applied Data Analytics; 2021, 25, 2; 1-14
1507-3866
Pojawia się w:: Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Informacja

Wyszukujesz frazę "clustering tools" wg kryterium: Temat

Źródło danych

Dostawca treści

Kolekcja

Rok wydania

Wydawca

Temat

Autor

Typ dokumentu

Język