نتایج جستجو برای: quickly classify the customers
تعداد نتایج: 16055844 فیلتر نتایج به سال:
current study aims to prioritize four-star hotels through atwo-step procedure: firstly, classifying service quality dimensions (sqds)based on importance-performance analysis and secondly prioritizinghotels based on classified sqds analysing the results. to reach that aim,the customers of three 4-star hotels were considered and asked to statethe quality of the service they expected to receive pr...
credit decisions are extremely vital for any type of financial institution because it can stimulate huge financial losses generated from defaulters. credit scoring models are decision support systems that take a set of predictor variables as input and provide a score as output and creditors use these models to justify who will get credit and who will not. many different credit scoring models ha...
Bank Customer Classification in Indonesia: Logistic Regression Vis-à-vis Artificial Neural Networks
This paper aims to identify factors distinguish Islamic and conventional bank customers in Indonesia. It tries to relate between bank customers’ religiosity, assessment upon certain factors such as bank performance, bank advertisement and main reasons of using banking services towards their decision on which bank they had joined. Logistic regression and neural networks models are used to answer...
The process of globalization and rapid technological developments are causing rapid changes in markets. Successfully in challenging markets of the future requires an informed and ready to respond quickly. The aim of this study is to evaluate and prioritize the organizational strategies of sales and distribution of Kalleh Company in Gilan. In order to analyze the strengths, weaknesses, opportuni...
Customer churn means the loss of existing customers to a competitor. Accurately predicting customer behavior may help firms to minimize this loss by proactively building a lasting relationship with their customers. In this paper, the application of the factor analysis and the Variable Consistency Dominance-based Rough Set Approach (VC-DRSA) in the customer relationship management (CRM) of the a...
Agility of the supply chain is one of the main challenges in organizations which acting in a dynamic and complex environment, which they have to be able to answer to customers quickly. But the agility of supply chain is influenced by different agents. Using the model based on agent, this study has tried to simulate the agility of supply chain in an institute of higher education. There are three...
Supervised clustering is a data mining technique that assigns a set of data to predefined classes by analyzing dataset attributes. It is considered as an important technique for information retrieval, management, and mining in information systems. Since customer satisfaction is the main goal of organizations in modern society, to meet the requirements, 137 call center of Tehran city council is ...
Supervised clustering is a data mining technique that assigns a set of data to predefined classes by analyzing dataset attributes. It is considered as an important technique for information retrieval, management, and mining in information systems. Since customer satisfaction is the main goal of organizations in modern society, to meet the requirements, 137 call center of Tehran city council is ...
Customer relationship management (CRM) refers to the managerial efforts to technologies and processes that helped to understand firms’ customers. For this reason data mining techniques have an important role to extract the hidden knowledge and information which is inherit in the data used by researchers. This investigation focuses on the current automotive maintenance industry in Iran and appli...
First, we classify the selected customers into clusters using RFM model to identify high-profit, gold customers. Subsequently, we carry out data mining using association rules algorithm. We measure the similarity, difference and modified difference of mined association rules based on three rules, i.e. Emerging Patten Rule, Unexpected Change Rule, and Added/Perished Rule. In the meantime, we use...
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