نتایج جستجو برای: quickly classify the customers
تعداد نتایج: 16055844 فیلتر نتایج به سال:
this essay proposes results of three investigations on satisfaction of industry & mine bank's customers. this research rendered yearly and pursues following purposes: attainment to resolution for increasing customers' satisfaction, knowing of customers' attitudes on bank employees, customers' judgment on regularities of bank, measuring customers' satisfaction, knowing o...
Nowadays telemarketing constitutes a way in which goods and services companies can access to possible potential customers through phone calls. Telemarketing campaigns are focused on offer to potential customers or users, contracting or buying a good or service. Ascertain a priori which phone calls will be successful is a competitive advantage to the companies due to this allow them to reduce co...
Internet routers that operate as firewalls, or provide a variety of service classes, perform different operations on different flows. A flow is defined to be all the packets sharing common header characteristics; for example a flow may be defined as all the packets between two specific IP addresses. In order to classify a packet, a router consults a table (or classifier) using one or more field...
A Modified Decision Tree Algorithm Based on Genetic Algorithm for Mobile User Classification Problem
In order to offer mobile customers better service, we should classify the mobile user firstly. Aimed at the limitations of previous classification methods, this paper puts forward a modified decision tree algorithm for mobile user classification, which introduced genetic algorithm to optimize the results of the decision tree algorithm. We also take the context information as a classification at...
Association rule mining (ARM) is the process of generating rules based on the correlation between the set of items that the customers purchase.Of late, data mining researchers have improved upon the quality of association rule mining for business development by incorporating factors like value (utility), quantity of items sold (weight) and profit. The rules mined without considering utility val...
Recommender systems apply knowledge discovery techniques to the problem of making personalized product recommendations during a live customer interaction. These systems, especially the k-nearest neighbor collaborative filtering based ones, are achieving widespread success in E-commerce nowadays. The tremendous growth of customers and products in recent years poses some key challenges for recomm...
Decision tree modelling, as one of data mining techniques, is used for credit scoring of bank customers. The main problem is the construction of decision trees that could classify customers optimally. This study presents a new hybrid mining approach in the design of an effective and appropriate credit scoring model. It is based on genetic algorithm for credit scoring of bank customers in order ...
PNMsoft Sequence is an iBPMS (Intelligent Business Process Management Suite). This demonstration will show how PNMsoft Sequence’s HotChange® technology enables BPM customers to change processes which are already being run in the production environment. HotChange® enables modifications to all aspects of a process including: flow, business rules, form fields, new activities, permissions, devices,...
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