Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "customer data" wg kryterium: Temat

  Lista filtrów
Wyrównaj
    Wyświetlanie 1-3 z 3
    Tytuł:
    Life Insurance Customers segmentation using fuzzy clustering
    Autorzy:
    Jandaghi, Gholamreza
    Moazzez, Hashem
    Moradpour, Zahra
    Powiązania:
    https://bibliotekanauki.pl/articles/1193938.pdf
    Data publikacji:
    2015
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    Market segmentation
    customer segmentation
    data mining
    fuzzy clustering
    life insurance
    Opis:
    One of the important issues in service organizations is to identify the customers, understanding their difference and ranking them. Recently, the customer value as a quantitative parameter has been used for segmenting customers. A practical solution for analytical development is using analytical techniques such as dynamic clustering algorithms and programs to explore the dynamics in consumer preferences. The aim of this research is to understand the current customer behavior and suggest a suitable policy for new customers in order to attain the highest benefits and customer satisfaction. To identify such market in life insurance customers, We have used the FKM.pf.niose fuzzy clustering technique for classifying the customers based on their demographic and behavioral data of 1071 people in the period April to October 2014. Results show the optimal number of clusters is 3. These three clusters can be named as: investment, security of life and a combination of both. Some suggestions are presented to improve the performance of the insurance company.
    Źródło:
    World Scientific News; 2015, 21; 24-35
    2392-2192
    Pojawia się w:
    World Scientific News
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Evaluation of the on-line commercial service quality based on association rules
    Autorzy:
    Szyda, Monika
    Czarnowski, Ireneusz
    Powiązania:
    https://bibliotekanauki.pl/articles/432412.pdf
    Data publikacji:
    2017
    Wydawca:
    Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
    Tematy:
    e-commerce
    e-quality evaluation
    e-customer satisfaction
    association rules
    data mining
    Opis:
    The existing approaches to the evaluation of on-line commercial services quality include various quality indicators. The application of multiple attributes for quality evaluation enables and involves specialized analysis techniques to carry it out. This article proposes to utilize association rules in the quality evaluation of the on-line services. The analysis carried out of the discovered association rules has provided interesting dependencies and relationships on the individual characteristics of the on-line commercial service. On the basis of such on analysis, conclusions can be made regarding the general quality of the on-line commercial services. The discovered dependencies and connections can be used in shaping online commercial service quality. Conclusions from the analysis of the association rules can therefore be used to improve the on-line commercial service quality comprehensively which can lead to the higher satisfaction of e-customers
    Źródło:
    Informatyka Ekonomiczna; 2017, 1(43); 66-85
    1507-3858
    Pojawia się w:
    Informatyka Ekonomiczna
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Using reporting and data mining techniques to improve knowledge of subscribers; applications to customer profiling and fraud management
    Autorzy:
    Amat, J.-L.
    Powiązania:
    https://bibliotekanauki.pl/articles/309287.pdf
    Data publikacji:
    2002
    Wydawca:
    Instytut Łączności - Państwowy Instytut Badawczy
    Tematy:
    data mining
    customer profiling
    OLAP reporting
    fraud management
    CRM
    real-time marketing
    Opis:
    One of the main issues of operators today is to be able not only to store and manage the huge amount of data generated by the applications and customer contact points, but also to give value to these data. But this implies using tools for storing the data, to manage it, look at it, understand it, exploit it, generate actions such as marketing campaigns. It is therefore obvious that using one tool for each of these functions will discuss here the technical issues involved and show how we turned them into an easy-to-use solution for business users.
    Źródło:
    Journal of Telecommunications and Information Technology; 2002, 3; 11-16
    1509-4553
    1899-8852
    Pojawia się w:
    Journal of Telecommunications and Information Technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

      Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies