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Developing Churn Models Using Data Mining Techniques And Social Network Analysis, Klepac, Kopal & Mrsic



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Цена: 18885р.
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Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Англия: 697 шт.  Склад Америка: 57 шт.  
При оформлении заказа до: 26 фев 2021
Ориентировочная дата поставки: конец Марта - начало Апреля

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Автор: Klepac, Kopal & Mrsic
Название:  Developing Churn Models Using Data Mining Techniques And Social Network Analysis   (Модель оттока внимания с учетом анализа социальных сетей и методов интеллектуального анализа данных)
Издательство: Eurospan
Издательство: IGI Global
Классификация:
ISBN: 1466662883
ISBN-13(EAN): 9781466662889
ISBN: 1-466-66288-3
ISBN-13(EAN): 978-1-466-66288-9
Обложка/Формат: Hardback
Страницы: 361
Вес: 0.796 кг.
Дата издания: 30.09.2014
Серия: Research essentials collection
Язык: English
Иллюстрации: Black & white illustrations
Размер: 185 x 263 x 27
Читательская аудитория: Professional and scholarly
Ключевые слова: Data mining
Рейтинг:
Поставляется из: США
Описание: Churn prediction, recognition, and mitigation have become essential topics in various industries. As a means for forecasting and manageing risk, further research in this field can greatly assist companies in making informed decisions based on future possible scenarios.Developing Churn Models Using Data Mining Techniques and Social Network Analysis provides an in-depth analysis of attrition modeling relevant to business planning and management. Through its insightful and detailed explanation of best practices, tools, and theory surrounding churn prediction and the integration of analytics tools, this publication is especially relevant to managers, data specialists, business analysts, academicians, and upper-level students.



Автор: Galit Shmueli, Peter C. Bruce, Nitin R. Patel
Название: Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner
ISBN: 1118729277 ISBN-13(EAN): 9781118729274
Издательство: Wiley
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Цена: 12359 р.
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Описание: Praise for the Second Edition " full of vivid and thought-provoking anecdotes... needs to be read by anyone with a serious interest in research and marketing." Research Magazine "Shmueli et al. have done a wonderful job in presenting the field

Data Warehousing and Data Mining Techniques for Cyber Security

Автор: Singhal Anoop
Название: Data Warehousing and Data Mining Techniques for Cyber Security
ISBN: 0387264094 ISBN-13(EAN): 9780387264097
Издательство: Springer
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Цена: 13584 р.
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Описание: Data warehousing and data mining provide techniques for collecting information from distributed databases and for performing data analysis. The ever expanding, tremendous amount of data collected and stored in large databases has far exceeded our human ability to comprehend--without the proper tools. There is a critical need for data analysis that can automatically analyze data, summarize it and predict future trends. In the modern age of Internet connectivity, concerns about denial of service attacks, computer viruses and worms are extremely important.Data Warehousing and Data Mining Techniques for Cyber Security contributes to the discipline of security informatics. The author discusses topics that intersect cyber security and data mining, while providing techniques for improving cyber security. Since the cost of information processing and internet accessibility is dropping, an increasing number of organizations are becoming vulnerable to cyber attacks. This volume introduces techniques for applications in the area of retail, finance, and bioinformatics, to name a few.Data Warehousing and Data Mining Techniques for Cyber Security is designed for practitioners and researchers in industry. This book is also suitable for upper-undergraduate and graduate-level students in computer science. 

Data Mining Techniques in CRM

Автор: Tsiptsis Konstantinos
Название: Data Mining Techniques in CRM
ISBN: 0470743972 ISBN-13(EAN): 9780470743973
Издательство: Wiley
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Цена: 7190 р.
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Описание: This is an applied handbook for the application of data mining techniques in the CRM framework. It combines a technical and a business perspective to cover the needs of business users who are looking for a practical guide on data mining.

Foundations and Novel Approaches in Data Mining

Автор: Tsau Young Lin; Setsuo Ohsuga; Churn-Jung Liau; Xi
Название: Foundations and Novel Approaches in Data Mining
ISBN: 3540283153 ISBN-13(EAN): 9783540283157
Издательство: Springer
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Цена: 22886 р.
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Описание: Presents a theoretical foundation of data-mining and provides important directions for data-mining research.

Foundations of Data Mining and Knowledge Discovery

Автор: Tsau Young Lin; Setsuo Ohsuga; Churn-Jung Liau; Xi
Название: Foundations of Data Mining and Knowledge Discovery
ISBN: 364243228X ISBN-13(EAN): 9783642432286
Издательство: Springer
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Цена: 20376 р.
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Описание: "Foundations of Data Mining and Knowledge Discovery" contains the latest results and new directions in data mining research.

Foundations and Novel Approaches in Data Mining

Автор: Tsau Young Lin; Setsuo Ohsuga; Churn-Jung Liau; Xi
Название: Foundations and Novel Approaches in Data Mining
ISBN: 364206650X ISBN-13(EAN): 9783642066504
Издательство: Springer
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Цена: 22886 р.
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Описание: Data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor" syndrome. In this volume, we hope to remedy problems by (1) presenting a theoretical foundation of data-mining, and (2) providing important new directions for data-mining research.

Data Mining: Concepts and Techniques,

Автор: Jiawei Han
Название: Data Mining: Concepts and Techniques,
ISBN: 0123814790 ISBN-13(EAN): 9780123814791
Издательство: Elsevier Science
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Цена: 6636 р.
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Описание: Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining.

Data Mining: Practical Machine Learning Tools and Techniques,

Автор: Ian H. Witten
Название: Data Mining: Practical Machine Learning Tools and Techniques,
ISBN: 0123748569 ISBN-13(EAN): 9780123748560
Издательство: Elsevier Science
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Цена: 6166 р.
Наличие на складе: Поставка под заказ.

Описание: Like the popular second edition, Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. Inside, you'll learn all you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining?including both tried-and-true techniques of today as well as methods at the leading edge of contemporary research. <br><br>Complementing the book is a fully functional platform-independent open source Weka software for machine learning, available for free download. <br><br>The book is a major revision of the second edition that appeared in 2005. While the basic core remains the same, it has been updated to reflect the changes that have taken place over the last four or five years. The highlights for the updated new edition include completely revised technique sections; new chapter on Data Transformations, new chapter on Ensemble Learning, new chapter on Massive Data Sets, a new ?book release? version of the popular Weka machine learning open source software (developed by the authors and specific to the Third Edition); new material on ?multi-instance learning?; new information on ranking the classification, plus comprehensive updates and modernization throughout. All in all, approximately 100 pages of new material.<br> <br><br>* Thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques<br><br>* Algorithmic methods at the heart of successful data mining?including tired and true methods as well as leading edge methods<br><br>* Performance improvement techniques that work by transforming the input or output<br><br>* Downloadable Weka, a collection of machine learning algorithms for data mining tasks, including tools for data pre-processing, classification, regression, clustering, association rules, and visualization?in an updated, interactive interface. <br>

Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection

Автор: Baesens Bart, Verbeke Wouter, Van Vlasselaer Veron
Название: Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection
ISBN: 1119133122 ISBN-13(EAN): 9781119133124
Издательство: Wiley
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Цена: 4388 р.
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Описание: THE DEFINITIVE GUIDE TO THE DETECTION AND PREVENTION OF FRAUD THROUGH DATA ANALYTICS Catch fraud early! Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques shows you how with a thorough overview of how to prevent losses and recov

Social Media Mining And Social Network Analysis

Автор: Xu & Li
Название: Social Media Mining And Social Network Analysis
ISBN: 1466628065 ISBN-13(EAN): 9781466628069
Издательство: Eurospan
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Цена: 17864 р.
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Описание: The widespread use of web-based communities, social media, and social networking sites has brought a rapid change to the interaction between computers and users as well as the digital experience as a whole. &lt;br&gt;&lt;br&gt;&lt;em&gt;Social Media Mining and Social Network Analysis: Emerging Research&lt;/em&gt; highlights the advancements made in social network analysis and social web mining and its influence in the fields of computer science, information systems, sociology, organisation science discipline and much more. This collection of perspectives on developmental practice is useful for industrial practitioners as well as researchers and scholars.

The Influence of Technology on Social Network Analysis and Mining

Автор: ?zyer
Название: The Influence of Technology on Social Network Analysis and Mining
ISBN: 3709113458 ISBN-13(EAN): 9783709113455
Издательство: Springer
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Цена: 15151 р.
Наличие на складе: Поставка под заказ.

Описание: In recent years, social network research has advanced significantly with the development of sophisticated techniques for Social Network Analysis and Mining (SNAM). This book traces parallels between new social media and similar social patterns.

Advances in Social Network Mining and Analysis

Автор: Giles
Название: Advances in Social Network Mining and Analysis
ISBN: 3642149286 ISBN-13(EAN): 9783642149283
Издательство: Springer
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Цена: 6269 р.
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Описание: This year`s volume of Advances in Social Network Analysis contains the p- ceedings for the Second International Workshop on Social Network Analysis (SNAKDD 2008).


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