Application of Data Mining Technology in CRM

2014 ◽  
Vol 513-517 ◽  
pp. 2103-2106
Author(s):  
Ya Fei Liu ◽  
Meng Ya Li
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Classification Methods ◽  
Decision Tree Algorithm ◽  
Core Competitiveness ◽  
Mining Technology ◽  
The Core ◽  
The Core Competitiveness ◽  
Mining Model ◽  
Potential Customers

Regarding to the technical difficulties of reachingvaluable knowledge and information from CRM mass of data and information, this article brings up the idea that we could apply the data mining technology in CRM. The data mining classification methods helps us to find out the potential customers with high value. The article describe how the methods and processes how could we apply the data mining technology to CRM and on the basis of decision tree algorithm to construct the CRM data mining model, and help companies better understand the customers behaviors and improve the core competitiveness of enterprises.

The Method of Attribute Reduction Based on Decision Tree

2011 ◽  
Vol 230-232 ◽  
pp. 1303-1307 ◽  
Author(s):  
Fa Chao Li ◽  
Hong Ze Yin ◽  
Fei Guan
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Reduction Method ◽  
Attribute Reduction ◽  
Decision Tree Algorithm ◽  
Tree Algorithm ◽  
The Core ◽  
Basic Ideas ◽  
Specific Implementation ◽  
Implementation Steps

This paper is for refining database in the data mining process. Based on the analysis of the features and disadvantages of this decision tree algorithm and the substantive characteristics of data mining, we propose the concept of the core samples set and prove its invariance. On this basis, we build an attribute reduction method based on decision tree algorithm and then give a specific implementation steps, further, combined with a specific instance analyze the characteristics and efficiency of the method. Results show that the attribute reduction method based on the decision tree has good maneuverability and explicableness. This method can simply realize the attribute reduction of information system and its basic ideas completely adapt to the attribute reduction problems of the uncertain environment.

Study on Data Mining with Decision Tree Algorithm in the Student Information Management System

2014 ◽  
Vol 543-547 ◽  
pp. 3602-3605
Author(s):  
Liang Li ◽  
Ying Zheng ◽  
Xiao Hua Sun ◽  
Fu Shun Wang
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Information Management ◽  
Management System ◽  
Information Management System ◽  
Decision Tree Algorithm ◽  
Mining Technology ◽  
Tree Algorithm ◽  
Student Information ◽  
Decision Tree Method

With the advance of education informationization in china, information technology and data mining technology has been widely used in the field of education. The decision tree method is one of the data mining methods; it does not require any assumption, can intelligent classification to a large amount of data directly. According to certain rules to find hidden and valuable information.Use the idea of learners as the center as guiding principle, using decision tree algorithm of data mining technology to build student information management system, selects typical C4.5 algorithm among the decision tree methods, Take mass information about employment of graduation in university students' information management system as an example to generate the decision tree, collect potential rules and factors in favor of graduat employment, so as to guide the education and management.

An Analysis of Factors Influencing Foreign Language Self-Efficacy Based on C5.0 Decision Tree Algorithm in Data Mining

2014 ◽  
Vol 538 ◽  
pp. 460-464
Author(s):  
Xue Li
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Foreign Language ◽  
Language Learning ◽  
Learning Strategies ◽  
Self Efficacy ◽  
Foreign Language Learning ◽  
Decision Tree Algorithm ◽  
Tree Algorithm ◽  
C5.0 Decision Tree

Based on inter-correlation and permeability among disciplines, the author makes an attempt to apply the information science to cognitive linguistics to provide a new perspective for the study of foreign languages. The correlation between self-efficacy and such four factors as anxiety, learning strategies, motivation and learners’ past achievement is analyzed by means of data mining and the extent to which the above factors affect self-efficacy in language learning is explored in this paper. The paper employs the decision tree algorithm in SPSS Clementine. C5.0 decision tree algorithm is adopted to analyze data in the study. The results are elicited from the researches carried out in this paper. The increased anxiety is bound to weaken learners’ motivation over time. It is obvious that learners have low self-efficacy. It is very important to employ strategies in foreign language learning. Ignorance of using learning strategies may result in unplanned learning with unsatisfactory achievements in spite of more efforts involved. Self-efficacy in foreign language learning may be weakened accordingly. Learners’ past achievement is a reference dimension in measuring self-efficacy with weaker influence.

Predicting customer churn in mobile industry using data mining technology

2017 ◽  
Vol 117 (1) ◽  
pp. 90-109 ◽  
Author(s):  
Eui-Bang Lee ◽  
Jinwha Kim ◽  
Sang-Gun Lee
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Online News ◽  
Partial Least Square ◽  
Churn Prediction ◽  
Mining Technology ◽  
Content Type ◽  
Customer Churn ◽  
Mobile Industry ◽  
Using Data

Purpose The purpose of this paper is to identify the influence of the frequency of word exposure on online news based on the availability heuristic concept. So that this is different from most churn prediction studies that focus on subscriber data. Design/methodology/approach This study examined the churn prediction through words presented the previous studies and additionally identified words what churn generate using data mining technology in combination with logistic regression, decision tree graphing, neural network models, and a partial least square (PLS) model. Findings This study found prediction rates similar to those delivered by subscriber data-based analyses. In addition, because previous studies do not clearly suggest the effects of the factors, this study uses decision tree graphing and PLS modeling to identify which words deliver positive or negative influences. Originality/value These findings imply an expansion of churn prediction, advertising effect, and various psychological studies. It also proposes concrete ideas to advance the competitive advantage of companies, which not only helps corporate development, but also improves industry-wide efficiency.

scholarly journals Research on the Role of Business Administration in Enterprise Transformation

2020 ◽  
Vol 2 (2) ◽  
pp. 36
Author(s):  
Yuncheng Shang
Keyword(s):  
Market Economy ◽  
Business Administration ◽  
Core Competitiveness ◽  
The Core ◽  
Development Direction ◽  
Enterprise Transformation ◽  
The Core Competitiveness ◽  
Stable Development

<p>Business administration plays an important role in the development of enterprises in transition. It can provide correct development direction for enterprises, give corresponding scientific guidance, and improve the core competitiveness of enterprises, which is conducive to the stable development of China’s market economy and improve China’s comprehensive strength. This article puts forward the research on the role of business administration in enterprise transformation. By analyzing the content and characteristics of business administration, it points out the role of business administration in enterprise transformation and market economy development, so that enterprises can face up to the role of business administration and actively cooperate to provide a strong guarantee for their own development.</p>

scholarly journals Research on the Application of Data Visualization Design in CBA League News

2021 ◽  
Vol 236 ◽  
pp. 05078
Author(s):  
Yi Sui ◽  
Honghai Zhang
Keyword(s):  
Data Analysis ◽  
Data Visualization ◽  
User Needs ◽  
Visual Data ◽  
Core Competitiveness ◽  
The Core ◽  
Visualization Design ◽  
Sports News ◽  
The Core Competitiveness ◽  
And Function

In the context of the era of intelligence, the capacity and function of data is expanding, and is playing an irreplaceable role in the field of sports news. This paper studies the data expression mode of sports news. From the point of user needs and the characteristics of visual data, this paper discusses the methods and suggestions of data visualization design in CBA league news, in an attempt to form an intuitive, efficient and convenient visual form of sports news, which can promote the multi-dimensional development of visual symbols in sports news, and promote the progress of data analysis and prediction. The data visualization has become the core competitiveness of sports news.

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