• Title/Summary/Keyword: Churn

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Development of churn prediction model in a newspaper based on real case (사례를 기반으로 한 신문 산업에서의 고객 이탈 예측 모형 구축)

  • Yang, Seung-Jeong;Rhee, Jong Tae
    • Journal of the Korea Safety Management & Science
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    • v.9 no.3
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    • pp.111-118
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    • 2007
  • What is CRM(Customer Relationship Management) means that planning, executing, and re-accessing the marketing strategy based on the customer character by analyzing the material related to customers. That is CRM is a strategy of customer service on the base of data. In the case of the telecommunications and a newspaper, there are restricted application of CRM, because they are provided services by paying a given amount of money within a given period of time. This paper develops CRM model(chum prediction model) that can apply to a newspaper. For model-building, real data were used which were collected from one of the major a newspaper company in Korea. Also, this paper verifies the efficient result.

Applicability of One-Dimensional Mechanistic Post-Dryout Prediction Model

  • Jeong, Hae-Yong;No, Hee-Cheon
    • Proceedings of the Korean Nuclear Society Conference
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    • 1996.05b
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    • pp.586-591
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    • 1996
  • Through the analysis of many experimental post-dryout data, it is shown that the most probable flow regime near dryout or quench front is not annular flow but churn-turbulent flow when the mass flux is low. A correlation describing the initial droplet size just after the CHF position at low mass flux is suggested through regression analysis. In the post-dryout region at low pressure and low flow, it is found that the suggested one-dimensional mechanistic model is not applicable when the vapor superficial velocity is very low, i.e., when the flow is bubbly or slug flow regime. This is explained by the change of main entrainment mechanism with the change of flow regime. Therefore, the suggested correlation is valid only in the churn-turbulent flow regime ( $j_{g}$ $^{*}$=0.5~4.5).).

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번호이동성 시차 도입이 이동통신시장 및 경제적 후생에 미치는 영향

  • 박명호;오완근;이충섭
    • Proceedings of the Korea Technology Innovation Society Conference
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    • 2003.11a
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    • pp.115-133
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    • 2003
  • 본 연구에서는 번호이동성 제도의 시차 도입이 이동통신시장에 미치는 영향과 동 제도와 관련된 경제적 후생효과를 추정하였다. 전문조사기관이 조사한 churn rate를 이용하여 2004년-2007년간 사업자별 시장점유율 추정결과는 2004년에는 선발사업자의 점유율은 낮아지고 후발사업자의 점유율은 높아져 유효경쟁체제를 구축하는 방향으로 움직이지만 churn in/out 효과가 모두 반영되는 2005년 이후 장기적으로는 정부의 정책목표가 달성되지 않을 수도 있음을 보이고 있다. 한편 번호이동성이 가져올 경제적 후생효과로는 동 제도를 일시 도입하는 경우 약 3,323억원의 후생이 발생하고, 6개월 시차 도입하는 경우에는 경쟁활성화 효과를 무시하면 이보다 7.85% 감소한 약 3,062억원으로 추정되었다. 또한 요금인하 수준이 분당 0.3원 정도 되면 시차 도입으로 인한 경쟁 효과가 시차제 적용으로 인한 후생 손실을 보전할 수 있는 것으로 나타났다.

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Prediction of Two-phase Flow Patterns and Noise Evaluation for Evaporator Pipe in a Refrigerator (냉장고 증발기 배관의 2상유동양식 예측 및 소음 평가)

  • Heo, So-Jung;Kim, Min-Seong;Han, Hyung-Suk;Jeong, Weui-Bong
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.21 no.10
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    • pp.916-923
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    • 2011
  • The refrigerant after the expansion valve interchanges the heat at the evaporator. At this moment, the state of gas and liquid becomes two-phase flow and causes irregular noise. In order to avoid the noise, the two-phase flow pattern should be predicted. In this paper, the procedure to predict the two-phase flow patterns such as churn flow and annular flow was suggested using the CFD software. The experiments using refrigerant-supplying equipment was carried out and the noise levels according to the flow pattern were measured. The flow patterns predicted by this procedure showed good agreement with those by experiments. The churn flow is noisier than annular flow pattern.

A Hybrid SVM Classifier for Imbalanced Data Sets (불균형 데이터 집합의 분류를 위한 하이브리드 SVM 모델)

  • Lee, Jae Sik;Kwon, Jong Gu
    • Journal of Intelligence and Information Systems
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    • v.19 no.2
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    • pp.125-140
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    • 2013
  • We call a data set in which the number of records belonging to a certain class far outnumbers the number of records belonging to the other class, 'imbalanced data set'. Most of the classification techniques perform poorly on imbalanced data sets. When we evaluate the performance of a certain classification technique, we need to measure not only 'accuracy' but also 'sensitivity' and 'specificity'. In a customer churn prediction problem, 'retention' records account for the majority class, and 'churn' records account for the minority class. Sensitivity measures the proportion of actual retentions which are correctly identified as such. Specificity measures the proportion of churns which are correctly identified as such. The poor performance of the classification techniques on imbalanced data sets is due to the low value of specificity. Many previous researches on imbalanced data sets employed 'oversampling' technique where members of the minority class are sampled more than those of the majority class in order to make a relatively balanced data set. When a classification model is constructed using this oversampled balanced data set, specificity can be improved but sensitivity will be decreased. In this research, we developed a hybrid model of support vector machine (SVM), artificial neural network (ANN) and decision tree, that improves specificity while maintaining sensitivity. We named this hybrid model 'hybrid SVM model.' The process of construction and prediction of our hybrid SVM model is as follows. By oversampling from the original imbalanced data set, a balanced data set is prepared. SVM_I model and ANN_I model are constructed using the imbalanced data set, and SVM_B model is constructed using the balanced data set. SVM_I model is superior in sensitivity and SVM_B model is superior in specificity. For a record on which both SVM_I model and SVM_B model make the same prediction, that prediction becomes the final solution. If they make different prediction, the final solution is determined by the discrimination rules obtained by ANN and decision tree. For a record on which SVM_I model and SVM_B model make different predictions, a decision tree model is constructed using ANN_I output value as input and actual retention or churn as target. We obtained the following two discrimination rules: 'IF ANN_I output value <0.285, THEN Final Solution = Retention' and 'IF ANN_I output value ${\geq}0.285$, THEN Final Solution = Churn.' The threshold 0.285 is the value optimized for the data used in this research. The result we present in this research is the structure or framework of our hybrid SVM model, not a specific threshold value such as 0.285. Therefore, the threshold value in the above discrimination rules can be changed to any value depending on the data. In order to evaluate the performance of our hybrid SVM model, we used the 'churn data set' in UCI Machine Learning Repository, that consists of 85% retention customers and 15% churn customers. Accuracy of the hybrid SVM model is 91.08% that is better than that of SVM_I model or SVM_B model. The points worth noticing here are its sensitivity, 95.02%, and specificity, 69.24%. The sensitivity of SVM_I model is 94.65%, and the specificity of SVM_B model is 67.00%. Therefore the hybrid SVM model developed in this research improves the specificity of SVM_B model while maintaining the sensitivity of SVM_I model.

A CLV (Customer Lifetime Value) model in the wireless telecommunication industry

  • Hyunseok Hwang;Kim, Suyeon;Euiho Suh
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2003.11a
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    • pp.187-190
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    • 2003
  • Since the early 1980s, the concept of relationship management in marketing area has gained its importance. Acquiring and retaining the most profitable customers are serious concerns of a company to perform more targeted marketing campaigns. For effective CRM (Customer Relationship Management), it is important to gather information on customer value. Many researches have been performed to calculate customer value based on CLV (Customer Lifetime Value). It, however, has some limitations. It is difficult to consider the churn of customers, because the previous prediction models have focused mainly on expected future cash flow derived from customers'past profit contribution. In this paper we suggest a CLV model considering past profit contribution, potential benefit, and churn probability of a customer. We also cover a framework for analyzing customer value and segmenting customers based on their value. Customer value is classified into three categories: current value, potential value and customer loyalty. Customers are segmented according to the three categories of customer value. A case study on calculating customer value of a wireless communication company will be illustrated.

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Factors Affecting Subscribers' Switching between Providers within Mobile Number Portability System (이동전화 이용자의 번호이동에 영향을 미치는 요인에 대한 실증분석)

  • Kim, Ho;Park, Yoon-Seo;Jun, Duk-Bin;Yang, Liu
    • Korean Management Science Review
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    • v.25 no.2
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    • pp.57-71
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    • 2008
  • We study factors that affect consumers' switching behaviors among service providers in Korean mobile telecommunications service market. For empirical analysis, quarterly time series data from the first quarter of 2004 through the second quarter of 2007 were used. We chose the number of switchers to each mobile service provider in each quarter as dependent variables. Independent variables include acquisition costs per subscriber, which play the role of subsidy to mobile handset, switching costs, time trend, structural change effect, and waiting demand effects. Through the empirical analysis, we found that each provider's churn-in customers are affected by different factors. Specifically, the number of churn-in customers into SK Telecom is explained mainly by SK Telecom's customer acquisition costs and waiting demand from KTF, while the number of customers switching into KTF is better explained by switching costs from the previous service provider and waiting demand from SK Telecom. Those who chose LG Telecom as their new provider, on the other hand, were mainly attracted by LG Telecom's high subscriber acquisition cost.

Two-Phase Flow Regimes for Counter-Current Air-Water Flows in Narrow Rectangular Channels

  • Kim, Byong-Joo;Sohn, Byung-Hu;Siyoung Jeong
    • Journal of Mechanical Science and Technology
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    • v.15 no.7
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    • pp.941-950
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    • 2001
  • A study of counter-current two-phase flow in narrow rectangular channels has been performed. Two-phase flow regimes were experimentally investigated in a 760mm long and 100mm wide test section with 2.0 and 5.0mm gap widths. The resulting flow regime maps were compared with the existing transition criteria. The experimental data and the transition criteria of the models showed relatively good agreement. However, the discrepancies between the experimental data and the model predictions of the flow regime transition become pronounced as the gap width increased. As the gap width increased the transition gas superficial velocities increased. The critical void fraction for the bubbly-to-slug transition was observed to be about 0.25. The two-phase distribution parameter for the slug flow was larger for the narrower channel. The uncertainties in the distribution parameter could lead to a disagreement in slug-to-churn transition between the experimental findings and the transition criteria. For the transition from churn to annular flow the effect of liquid superficial velocity was found to be insignificant.

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