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Mining the network value of customers

Pedro Domingos, Matt Richardson
2001 Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '01  
One of the major applications of data mining is in helping companies determine which potential customers to market to.  ...  Marketing that exploits the network value of customers--also known as viral marketing--can be extremely effective, but is still a black art.  ...  A customer whose intrinsic value is lower than the cost of marketing may in fact be worth marketing to when her network value is considered.  ... 
doi:10.1145/502512.502525 fatcat:awv7evwdizgnficrxz4tcwsb2i

Application of data mining techniques in customer relationship management: A literature review and classification

E.W.T. Ngai, Li Xiu, D.C.K. Chau
2009 Expert systems with applications  
Each of the 87 selected papers was categorized on four CRM dimensions (Customer Identification, Customer Attraction, Customer Retention and Customer Development) and seven data mining functions (Association  ...  Despite the importance of data mining techniques to customer relationship management (CRM), there is a lack of a comprehensive literature review and a classification scheme for it.  ...  Acknowledgements This research was partly supported by The Hong Kong Polytechnic University (Project no.: G-YF20) and National Natural Science Foundation of China (NSFC, Project no.: 70671059).  ... 
doi:10.1016/j.eswa.2008.02.021 fatcat:nqlw5dkqjzfhpf2cldlmoxd25e

E-Commerce Information System Management Based on Data Mining and Neural Network Algorithms

Qing Zhang, Abdul Rashid Abdullah, Choo Wei Chong, Mass Hareeza Ali, Shahid Mumtaz
2022 Computational Intelligence and Neuroscience  
This research analyzes the significance and advantages of data mining technology in the application of e-commerce management systems and analyzes the related technologies of data mining and future trend  ...  Then, the nonlinear data processing advantages of neural networks are used to predict future purchasing power.  ...  Figure 11 shows the predicted value and true value of customer value.  ... 
doi:10.1155/2022/1499801 pmid:35449740 pmcid:PMC9017534 fatcat:xqai6govsnawpcksdr2ggzx67u

Optional Insurance Compensation Rate Selection and Evaluation in Financial Institutions

Zhikun Xu, Yanwen Wang, Zhaohui Liu
2014 International Journal of u- and e- Service, Science and Technology  
With the change of market environment, most enterprises have realized the importance of customer resource.  ...  In this paper, we use data mining technology to analyze the influence factor of insurance settlement.  ...  Customer current value determines the enterprise's profit level; and the potential value can predict the changes of customer value in the future.  ... 
doi:10.14257/ijunesst.2014.7.1.21 fatcat:npc44sj4nbgrnp67qokeg3uzci

Segmenting Online Customers Based on their Lifetime Value and RFM Model by Data Mining Techniques

Azarnoosh Ansari, Shermineh Ghalamkari
2014 International journal of information science and management  
Mobile sales website customers are identified by segmenting customers in terms of the pyramid of customer lifetime value.  ...  Identifying characteristics of customers and optimal resource allocation to them according to their value to the company is one of the major concerns in the field of ​​customer relationship management  ...  Pyramid of customers' lifetime value in selling mobile phone website Table 1 1 Different Data Mining Techniques Used to Identify Customers References Data mining techniques Data mining functions CRM  ... 
doaj:d1f2724e3a35454cb2601d41d3125893 fatcat:rvx5eldvfjbkfocs6u6rvexhdm

Simulation of hydrodesulfurization using artificial neural network

Weizhi Wang, Qikai Zhang, Lianhui Ding, Ying Zheng
2010 Canadian Journal of Chemical Engineering  
Accordingly, using designed neural network we can predict the value of the company demands to produce this type of yoghourt and also, we can find out the daily, weekly and monthly usage of our customers  ...  Probiotic yoghourt Customer number Actual value The ANN calcuted 1001 5 2.4167 2006 5 5.0009 Table 3 : 3 Bucket 2.2 high fat probiotic yoghourt Customer number Actual value The ANN  ... 
doi:10.1002/cjce.20342 fatcat:kg2xpca3sffo7fzmq66dqv3w34

Social Network Big Data Hierarchical High-Quality Node Mining

Dongning Jia, Bo Yin, Xianqing Huang, Shan Zhong
2021 Wireless Communications and Mobile Computing  
Compared with the conventional network data analysis, the data analysis based on social network has a very clear object of analysis, various forms of analysis, and more methods and contents of analysis  ...  In this paper, the number of customer evaluations, the time of evaluation, the frequency of evaluation, and the score of evaluation are clustered and analyzed, and finally, the results obtained by the  ...  of customer reviews (AVG_votes), and the average value of the number of customer reviews (AVG_votes).  ... 
doi:10.1155/2021/1444755 fatcat:tmh7r55phnendjtvfwifaujts4

Analysis of Influencing Factors and Enterprise Strategy of Online Consumer Behavior Decision Based on Association Rules and Mobile Computing

Biyan Xiao, Guofeng Piao, Xin Ning
2022 Wireless Communications and Mobile Computing  
Association rules are increasingly being applied to customer behavior analysis as the most active branch of data mining in the last ten years.  ...  Because of the unique advantages of mobile edge computing technology, the Internet's application has become more and more widespread, and businesses are increasingly paying attention to network marketing  ...  , and low-value customers.  ... 
doi:10.1155/2022/6849017 fatcat:cjcxe4m2qbczjc2fwm2irynuay

Model to Predict the Behavior of Customers Churn at the Industry

Keyvan VahidyRodpysh
2012 International Journal of Computer Applications  
In order to continue life-sustaining competitive advantage, many organizations focus on maximizing the marketing relationship with their customer lifetime value and customer churn management.  ...  In order to check the model presented with a desire to review a decision tree classification methods (C5.0, CART, CHAID, and Quest), Bayesian networks and neural networks will be paid with respect to sample  ...  These methods of statistical values that have been evaluated as homogeneous values with consideration of factors combine and all other values of the heterogeneous (non-identical) are maintained.  ... 
doi:10.5120/7702-1059 fatcat:4424i4whmfdcbdo46vpqgjamfy

IoT Big Data Value Map

Nastaran Hajiheydari, Mojtaba Talafidaryani, SeyedHossein Khabiri
2019 Proceedings of the 2019 the 5th International Conference on e-Society, e-Learning and e-Technologies - ICSLT 2019  
Obtaining knowledge with the help of Data Mining techniques through the big data generated by the IoT creates and proposes value to customers and businesses.  ...  Further research can work on customer profile side of value map and present customer jobs, customer gains and customer pains to pave the way for prototyping business models in this field.  ... 
doi:10.1145/3312714.3312728 fatcat:vva2yflb6jdqtfyuh4mcuk5bja

Data mining techniques for optimizing inventories for electronic commerce

Anjali Dhond, Amar Gupta, Sanjeev Vadhavkar
2000 Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '00  
The second case study highlights the use of neural network based data mining techniques for forecasting hot metal temperatures in a steel mill blast furnace.  ...  The paper also highlights two case studies in which neural network-based data mining techniques were used for inventory optimization.  ...  The authors would like to thank various members of the Data Mining research group at the Sloan School of Management for their help in building training data for the ANNs and testing various ANN models.  ... 
doi:10.1145/347090.347188 dblp:conf/kdd/DhondGV00 fatcat:f2mplvdp6nehvifkrbtyot4kh4

An Efficient Method of Building the Telecom Social Network for Churn Prediction

2012 International Journal of Data Mining & Knowledge Management Process  
From the point of view of data mining, a social network is a dynamic, heterogeneous and multirelational in nature.  ...  Typical work on social network analysis includes the construction of multi-relational telecommunication social network and discovery of group of customers who share similar properties and classify the  ...  For a valued network it is the total of all values divided by the number of possible ties.  ... 
doi:10.5121/ijdkp.2012.2304 fatcat:4ixhltey2bhlvhzdh7crztrrzi

Data Mining in Customer Profitability Analysis

Drazena Gaspar, Ivica Coric, Mirela Mabic
2015 Advances in Economics and Business  
The proposed model for the forecasting of the customer profitability uses two data mining methods: neural networks and genetic algorithm.  ...  The purpose of this model is to forecast activities of individual customers in the future, and to value that company could expect in doing business with them.  ...  in observed year Input 17 Value of returns Total value of returns of good in customer trade in observed year Input 18 Value of discount Total value of the discount given to customers in customer  ... 
doi:10.13189/aeb.2015.031203 fatcat:tfybvnh2hvh2vf7whadf3no2oq

A Neural Network based Approach for Predicting Customer Churn in Cellular Network Services

Anuj Sharma, Prabin Kumar Panigrahi
2011 International Journal of Computer Applications  
The results of experiments indicate that neural network based approach can predict customer churn.  ...  This paper proposes a neural network based approach to predict customer churn in subscription of cellular wireless services.  ...  According to research literature about customer churn, most of the related work focuses on using only one data mining method such as classification or clustering to mine the customer retention data.  ... 
doi:10.5120/3344-4605 fatcat:p6qfvsggk5cevcmiiytdhah7c4

Applications of Data Mining Techniques in Telecom Churn Prediction

V. Umayaparvathi, K. Iyakutti
2012 International Journal of Computer Applications  
This paper explores the application of data mining techniques in predicting likely churners and the impact of attribute selection on identifying the churn.  ...  Since the cost of acquiring new customers is much higher than the cost of retaining the existing customers, it is the time for the telecom industries to take necessary steps to retain the customers to  ...  In the case of AGE attribute, undefined values are filled with the median of the values of the corresponding attribute domain.  ... 
doi:10.5120/5814-8122 fatcat:3cgex7vuarci7ovoz4cbpmv4ve
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