نتایج جستجو برای: customer segment selection

تعداد نتایج: 439095  

2001
Andreas Kohlmaier Sascha Schmitt Ralph Bergmann

Personalized consultation in large-scale businesses like found in electronic shops is getting more and more important. To provide customers with adequate product information, an automated, dynamic, customer-adaptive dialog has to be carried on that simulates a real sales talk between a sales person and a customer. The task of an electronic sales system is to gain very quickly as much informatio...

Journal: :IJEBM 2008
Ji Chan Jung Joon Young Park

The decision on the specification of a product development process based on the general platform is determined by the customer requirement/needs analysis, that is, the quality function deployment, through which common parts/components, options, and so on, are determined and MC level (number of derivative products) is decided through the requirements of customers. However, the current QFD method...

2005
Yanbo J. Wang

Analysing customers in groups is one of the most fundamental issues in Marketing. It helps companies sufficiently learn from their customers, and rationally design their marketing strategies. Given a customer database with n records (customers) and m attributes (one’s characteristics) stored, different approaches can be applied to automatically segment (cluster) records in divisions. In this pa...

2017
Maninderjeet Kaur

In present days there is huge competition between various companies in the industry. Due to this companies pay more attention towards their customers rather than their product. They become aware of customer churn issue. Basically when a customer ceases one’s relationship with the company, this misfortune of relationship is known as customer churn. Various data mining approaches are used to pred...

Journal: :international journal of information science and management 0
a. r. miremadi assistant professor& mba director at sharif university of technology international campus s. ghalamakri mba from sharif university of technology member of itm research group a. a. ramezani mba & branch manager from sharif university of technology branch manager at saman bank

the advancement in technology, information and communication has forced banks and financial institutions into hard competition.  in this new era technology, people and customer are the elements which the banks are concentrating on them to manage customer relationship and success of banking in customer satisfaction. electronic customer relationship management (e-crm) is seen to arise from the co...

2014
Shuai Ding Chen-Yi Xia Kai-Le Zhou Shan-Lin Yang Jennifer S. Shang

Facing a customer market with rising demands for cloud service dependability and security, trustworthiness evaluation techniques are becoming essential to cloud service selection. But these methods are out of the reach to most customers as they require considerable expertise. Additionally, since the cloud service evaluation is often a costly and time-consuming process, it is not practical to me...

2006
Daniel Wagner Günther R. Raidl Ulrich Pferschy Petra Mutzel Peter Bachhiesl

We consider the problem of finding a most cost-efficient fiber optic network to connect given customer nodes to an existing network infrastructure. Given is a connected undirected graph G = (V, E, c, l, p, kmax) describing the topology of the surrounding area of given customer nodes. Each edge e = (i, j) ∈ E represents a straight segment of Euclidean length le ≥ 0 where a fiber optics cable mig...

2013
Swati Tripathi

Service quality is a competitive weapon in the banking industry. As competition becomes more concentrated and environmental factors become more argumentative, the concern for service quality grows. Retention of customer is the ultimate successful performance of any banking sector. To develop reputation and gain customer loyalty, a study of the performance of the banks is done to see if the perc...

2015
Jing Tan Xiaojiang Du Pengpeng Hao Yanbo J. Wang

Nowadays customer attrition is increasingly serious in commercial banks. To combat this problem roundly, mining customer evaluation texts is as important as mining customer structured data. In order to extract hidden information from customer evaluations, Textual Feature Selection, Classification and Association Rule Mining are necessary techniques. This paper presents all three techniques by u...

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