Churn Prediction in Telecommunication-fuzzy Decision Trees and Pattern Trees PDF Download
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Author: Roland Merheb
Publisher:
ISBN:
Category : Labor turnover
Languages : en
Pages : 152
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Book Description
Customer acquisition and retention a concern for all industries, but it is particularly acute in the strongly competitive and now broadly liberalized telecommunications industry. In the last couple of years telecom churn has become a key lever with direct impact on revenues and performance in both emerging and mature markets. Churn management is the concept of identifying those customers who are intending to move their custom to a competing service provider. Once identified, these customers can be targeted with proactive marketing campaigns for retention efforts. Many techniques have emerged for the purpose of prediction churn in general and specific for the purpose of predicting churn in telecom. It is clear that it is not enough to produce a churn prediction model only it is very necessary to fully understand the underlying reasons driving churn. What is needed are models that not only predict but give an understanding of the root causes of churn. The aim of this thesis is to identify the most suitable linguistic model for churn prediction in the wireless telecommunication industry in order not only to identify customers with the intention of churning but also to seek out the root causes of their churn. This will be done by identifying the attributes that affect churn in telecoms and two prediction models for the problem specified – Fuzzy Decision Trees and Pattern Trees.
Author: Roland Merheb
Publisher:
ISBN:
Category : Labor turnover
Languages : en
Pages : 152
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Book Description
Customer acquisition and retention a concern for all industries, but it is particularly acute in the strongly competitive and now broadly liberalized telecommunications industry. In the last couple of years telecom churn has become a key lever with direct impact on revenues and performance in both emerging and mature markets. Churn management is the concept of identifying those customers who are intending to move their custom to a competing service provider. Once identified, these customers can be targeted with proactive marketing campaigns for retention efforts. Many techniques have emerged for the purpose of prediction churn in general and specific for the purpose of predicting churn in telecom. It is clear that it is not enough to produce a churn prediction model only it is very necessary to fully understand the underlying reasons driving churn. What is needed are models that not only predict but give an understanding of the root causes of churn. The aim of this thesis is to identify the most suitable linguistic model for churn prediction in the wireless telecommunication industry in order not only to identify customers with the intention of churning but also to seek out the root causes of their churn. This will be done by identifying the attributes that affect churn in telecoms and two prediction models for the problem specified – Fuzzy Decision Trees and Pattern Trees.
Author: Ashish Khanna
Publisher: Springer Nature
ISBN: 9811503249
Category : Technology & Engineering
Languages : en
Pages : 599
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Book Description
This book gathers high-quality research papers presented at the Second International Conference on Innovative Computing and Communication (ICICC 2019), which was held at the VSB - Technical University of Ostrava, Czech Republic, on 21–22 March 2019. Highlighting innovative papers by scientists, scholars, students, and industry experts in the fields of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research, and the translation of applied research into real-world applications.
Author: Wang, Hsiao-Fan
Publisher: IGI Global
ISBN: 159904983X
Category : Education
Languages : en
Pages : 366
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Book Description
Pattern Recognition has a long history of applications to data analysis in business, military and social economic activities. While the aim of pattern recognition is to discover the pattern of a data set, the size of the data set is closely related to the methodology one adopts for analysis. Intelligent Data Analysis: Developing New Methodologies Through Pattern Discovery and Recovery tackles those data sets and covers a variety of issues in relation to intelligent data analysis so that patterns from frequent or rare events in spatial or temporal spaces can be revealed. This book brings together current research, results, problems, and applications from both theoretical and practical approaches.
Author: A.J. Tallón-Ballesteros
Publisher: IOS Press
ISBN: 1643681354
Category : Computers
Languages : en
Pages : 812
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Book Description
The interdisciplinary field of fuzzy logic encompass applications in the electrical, industrial, chemical and engineering realms as well as in areas of management and environmental issues, while data mining covers new approaches to big data, massive data, and scalable, parallel and distributed algorithms. This book presents papers from the 6th International Conference on Fuzzy Systems and Data Mining (FSDM 2020). The conference was originally due to be held from 13-16 November 2020 in Xiamen, China, but was changed to an online conference held on the same dates due to ongoing restrictions connected with the COVID-19 pandemic. The annual FSDM conference provides a platform for knowledge exchange between international experts, researchers academics and delegates from industry. This year, the committee received 316 submissions, of which 76 papers were selected for inclusion in the conference; an acceptance rate of 24%. The conference covers four main areas: fuzzy theory; algorithms and systems, which includes topics like stability; foundations and control; and fuzzy applications, which are widely used and cover various types of processing as well as hardware and architecture for big data and time series. Providing a current overview of research and developments in fuzzy logic and data mining, the book will be of interest to all those working in the field of data science.
Author: Kokula Krishna Hari Kunasekaran
Publisher: Association of Scientists, Developers and Faculties (ASDF)
ISBN: 8192986632
Category : Computers
Languages : en
Pages : 114
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Book Description
Proceedings of the International Conference on Interdisciplinary Research in Electronics and Instrumentation Engineering 2015 (ICIREIE)
Author: Tiwari, Vivek
Publisher: IGI Global
ISBN: 1522538712
Category : Computers
Languages : en
Pages : 425
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Book Description
Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries. It is necessary to develop new techniques for managing data in order to ensure adequate usage. The Handbook of Research on Pattern Engineering System Development for Big Data Analytics is a critical scholarly resource that examines the incorporation of pattern management in business technologies as well as decision making and prediction process through the use of data management and analysis. Featuring coverage on a broad range of topics such as business intelligence, feature extraction, and data collection, this publication is geared towards professionals, academicians, practitioners, and researchers seeking current research on the development of pattern management systems for business applications.
Author: Ajith Abraham
Publisher: Springer Nature
ISBN: 303073689X
Category : Technology & Engineering
Languages : en
Pages : 1061
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Book Description
This book highlights the recent research on soft computing and pattern recognition and their various practical applications. It presents 62 selected papers from the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020) and 35 papers from the 16th International Conference on Information Assurance and Security (IAS 2020), which was held online, from December 15 to 18, 2020. A premier conference in the field of artificial intelligence, SoCPaR-IAS 2020 brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from 40 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.
Author: Dr Shruti Traymbak
Publisher:
ISBN:
Category :
Languages : en
Pages : 5
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Book Description
In the era of digitalization, CRISP-Data Mining and predictive analytics have emerged as an important tool to handle big data. Big data is characterized by three important factors -volume, velocity and variability. The paper discusses about CRISP-DM and Machine Learning Algorithms which are used for data mining that enable to develop predictive models and help in managerial decision. On the other hand, the paper discusses about churn prediction in telecommunication industry which is very important to retain valuable customers. With the help of popular Machine Learning Algorithms such as Decision Tree, Clustering, Neural Networks, Association Analysis, Support Vector Machines C5.0 algorithm technique and others are used to determine customer churn in telecommunication industry. The findings of the study revealed that the most common machine learning algorithms are Decision Tree, Neural Networks and Regression that are used effectively and efficiently to predict customer churn in telecommunication industry.
Author: Fethi Calisir
Publisher: Springer Nature
ISBN: 3030767248
Category : Technology & Engineering
Languages : en
Pages : 486
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Book Description
This book gathers extended versions of the best papers presented at the Global Joint Conference on Industrial Engineering and Its Application Areas (GJCIE), organized virtually on August 14–15, 2020, by Istanbul Technical University. It covers a wide range of topics, including decision analysis, supply chain management, systems modelling and quality control. Further, special emphasis is placed on cutting-edge applications of industrial Internet-of-Things. Technological, economic and business challenges are discussed in detail, presenting effective strategies that can be used to modernize current structures, eliminating the barriers that are keeping industries from taking full advantage of IoT technologies. The book offers an important link between technological research and industry best practices, and covers various disciplinary areas such as manufacturing, healthcare and service engineering, among others.
Author: Suresh Chandra Satapathy
Publisher: Springer Nature
ISBN: 9811615020
Category : Technology & Engineering
Languages : en
Pages : 801
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Book Description
This book presents best selected papers presented at the 4th International Conference on Smart Computing and Informatics (SCI 2020), held at the Department of Computer Science and Engineering, Vasavi College of Engineering (Autonomous), Hyderabad, Telangana, India. It presents advanced and multi-disciplinary research towards the design of smart computing and informatics. The theme is on a broader front which focuses on various innovation paradigms in system knowledge, intelligence and sustainability that may be applied to provide realistic solutions to varied problems in society, environment and industries. The scope is also extended towards the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology and health care.
