Cross-company customer churn prediction in telecommunication: A comparison of data transformation methods     

《International Journal of Information Management》2019

Cross-Company Churn Prediction (CCCP) is a domain of research where one company (target) is lacking enough data and can use data from another company (source) to predict customer churn successfully. To support CCCP, the cross-company data is usually transformed to a set of similar normal distribution of target company data prior to building a CCCP model. However, it is still unclear which data transformation method is most effective in CCCP. Also, the impact of data transformation methods on CCCP model performance using different classifiers have not been comprehensively explored in the telecommunication sector. In this study, we devised a model for CCCP using data transformation methods (i.e., log, z-score, rank and box-cox) and presented not only an extensive comparison to validate the impact of these transformation methods in CCCP, but also evaluated the performance of underlying baseline classifiers (i.e., Naive Bayes (NB), K-Nearest Neighbour (KNN), Gradient Boosted Tree (GBT), Single Rule Induction (SRI) and Deep learner Neural net (DP)) for customer churn prediction in telecommunication sector using the above mentioned data transformation methods. We performed experiments on publicly available datasets related to the telecommunication sector. The results demonstrated that most of the data transformation methods (e.g., log, rank, and box-cox) improve the performance of CCCP significantly. However, the Z-Score data transformation method could not achieve better results as compared to the rest of the data transformation methods in this study. Moreover, it is also investigated that the CCCP model based on NB outperform on transformed data and DP, KNN and GBT performed on the average, while SRI classifier did not show significant results in term of the commonly used evaluation measures (i.e., probability of detection, probability of false alarm, area under the curve and g-mean).  相似文献   

文献检索课网络化考核初探   总被引：1，自引：0，他引：1  

甄旭  张宇宏  季全芝 《现代图书情报技术》2003,(Z1)

通过对文献检索课考核方法的分析 ,提出网络化考核的模式 ,对所研制开发的“科技文献检索课考试管理系统”的技术实现及系统功能进行介绍  相似文献   

网络环境下的主题标引工作   总被引：3，自引：0，他引：3  

李育嫦 《大学图书情报学刊》2003,21(1):73-75

探讨了网络环境下编目人员应如何充分利用计算机编目的特点及网络优势来做好主题标引工作，满足读检索的需要，具体做法是：转变编目思想，降低检索难度，提高标引深度，主题标引要一致。  相似文献   

浅谈网络环境下的信息检索效率   总被引：5，自引：0，他引：5  

龚蛟腾 《四川图书馆学报》2003,(4):8-10

网络环境下，信息检索效率主要是指检全率和检准率，它们之间存在互逆、互顺等关系。许多因素影响着检索效率，文章提出了提高检索效率的各种策略，并且展望了其发展趋势。  相似文献   

A Corpus-Based Learning Method of Compound Noun Indexing Rules for Korean     

Jee-Hyub Kim  Byung-Kwan Kwak  Seungwoo Lee  Geunbae Lee  Jong-Hyeok Lee 《Information Retrieval》2001,4(2):115-132

In Korean information retrieval, compound nouns play an important role in improving precision in search experiments. There are two major approaches to compound noun indexing in Korean: statistical and linguistic. Each method, however, has its own shortcomings, such as limitations when indexing diverse types of compound nouns, over-generation of compound nouns, and data sparseness in training. In this paper, we propose a corpus-based learning method, which can index diverse types of compound nouns using rules automatically extracted from a large corpus. The automatic learning method is more portable and requires less human effort, although it exhibits a performance level similar to the manual-linguistic approach. We also present a new filtering method to solve the problems of compound noun over-generation and data sparseness.  相似文献   

促进高校体育教师科学研究水平的方法与措施     

吴龙 《四川体育科学》2006,(2):110-112

高校体育教师的生命力来自于体育科学研究。高校体育教师必须与体育科学研究紧密的联系在一起。高校体育科学研究就是以高校体育教育现象和体育教育问题为对象,运用科学研究的原则和方法,探寻体育教学规律及有体育教育途径和方法的科学实践活动.努力提高高校体育教师的体育科学研究水平,有利于提高高校体育教师的整体素质,有利于教育科研的发展,提高教育质量。  相似文献   

跨语言综合搜索引擎设计   总被引：14，自引：1，他引：13  

黄国才 《现代图书情报技术》2001,17(4):31-33

分析了当前网络上信息分布的特点, 对目前相关的技术进行评价。在此基础上, 设计了一个解决网络搜索过程中语言障碍的系统——跨语言综合搜索引擎。  相似文献   

全国中文机读书目主题标引格式问题分析   总被引：9，自引：0，他引：9  

朱芊 《中国图书馆学报》2002,28(1)

中文机读书目主题标引格式的不统一 ,会产生书目主题格式多样的弊端。其主要原因是由于叙词法后组式标题只能套录标题法先组式标题格式。因此 ,必须统一中文书目主题标引格式。表 2。参考文献 8。  相似文献   

论第四种情报检索语言系统   总被引：7，自引：0，他引：7  

吕娟  袁相琴 《中国图书馆学报》2002,28(1)

第四种情报检索语言是自然语言与人工语言结合的一体化语言。第四种情报检索语言系统是一种基于网络的信息检索系统 ,比分类主题一体化情报检索语言系统更高级更新颖 ,是我国 2 1世纪情报检索语言系统研究的方向。加快我国第四种情报检索语言系统研究的关键 ,是解决汉语分词技术问题。参考文献 14。  相似文献   

高校体育教学内容与方法的创新研究     

揣佳凡  王红光 《四川体育科学》2004,(3):132-133,139

高校体育教学面临着所未有改革，本文在调查研究和教学实验的基础上，根据社会经济发展的需要，结合高校体育教学实际，对高校体育教学内容与方法及考核评价进行了创新研究。  相似文献