نتایج جستجو برای: categorizing customers into more groups
تعداد نتایج: 3636494 فیلتر نتایج به سال:
translation studies have become an accepted academic subject and books, journals and doctoral dissertations appear faster than one can read them all (bassnet and lefevere, 1990). but this field also brought with itself so many other issues which needed to be investigated more, in the heart of which, issues like ideology, ethics, culture, bilingualism and multilingualism. it is reported that ove...
recent years have witnessed an increased attention to form focused instruction and consciousness raising activities (ellis, 2002; doughty & williams, 1998) on the one hand and extensive and meaningful exposure to the target language (klapper & rees, 2003; day & bamford, 1998) on the other. due to significance attributed to above mentioned issues by scholars, this study attempted to bridge them ...
for a finite group $g$, let $cent(g)$ denote the set of centralizers of single elements of $g$. in this note we prove that if $|g|leq frac{3}{2}|cent(g)|$ and $g$ is 2-nilpotent, then $gcong s_3, d_{10}$ or $s_3times s_3$. this result gives a partial and positive answer to a conjecture raised by a. r. ashrafi [on finite groups with a given number of centralizers, algebra collo...
nowadays, credit risk is recognized as one of the most important bankruptcy factors of banks and financial institutions. in order to manage and control this risk, design of credit rating models is undeniable necessity. credit rating is used to identify the probability of credit default and on the other side classify the customers into two groups: good and bad accounts. until now, various statis...
Due to the fierce competition of commercial banks, customers are becoming more and important banks. Therefore, customer churn has become a major problem that banks need face. In this paper, XGboost algorithm was used on data set US bank from Kaggle predict churn, grid search method find best hyperparameters. Moreover, K-means is adopted further subdivide lost customers. For predicting XGBoost a...
abstract type-ii fuzzy logic has shown its superiority over traditional fuzzy logic when dealing with uncertainty. type-ii fuzzy logic controllers are however newer and more promising approaches that have been recently applied to various fields due to their significant contribution especially when the noise (as an important instance of uncertainty) emerges. during the design of type- i fuz...
The problem of maximizing the benefit from a specified number of a particular product with respect to the behavior of customer choices is regarded as revenue management. This managerial technique was first adopted by the airline industries before being widely used by many others such as hotel industries. The scope of this research is mainly focused on hotel revenue management, regarding which a...
Who wouldn't want loyal customers? Surely they should cost less to serve, they'd be willing to pay more than other customers, and they'd actively market your company by word of mouth, right? Maybe not. Careful study of the relationship between customer loyalty and profits plumbed from 16,000 customers in four companies' databases tells a different story. The authors found no evidence to support...
For any neuroimaging study in an institute, brain images are normally acquired from healthy controls and patients using a single track of protocol. Traditionally, the factor analysis procedure analyzes image data for healthy controls and patients either together or separately. The former unifies the factor pattern across subjects and the latter deals with measurement errors individually. This p...
Analyzing bank databases for customer behavior management is difficult since bank databases are multi-dimensional, comprised of monthly account records and daily transaction records. This study proposes an integrated data mining and behavioral scoring model to manage existing credit card customers in a bank. A self-organizing map neural network was used to identify groups of customers based on ...
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