Applications Of Data Mining In E Business And Finance
DOWNLOAD
Download Applications Of Data Mining In E Business And Finance PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Applications Of Data Mining In E Business And Finance book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Applications Of Data Mining In E Business And Finance
DOWNLOAD
Author : Carlos A. Mota Soares
language : en
Publisher: IOS Press
Release Date : 2008
Applications Of Data Mining In E Business And Finance written by Carlos A. Mota Soares and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Business & Economics categories.
Contains extended versions of a selection of papers presented at the workshop Data mining for business, held in 2007 together with the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Nanjing China--Preface.
Applications Of Data Mining In E Business And Finance
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 2008
Applications Of Data Mining In E Business And Finance written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Data mining categories.
In spite of the close relationship between research and practice in Data Mining, it is not easy to find information on some of the important issues involved in real world application of DM technology. This book address some of these issues. It is suitable for Data Mining researchers and practitioners.
Applications Of Data Mining In E Business And Finance
DOWNLOAD
Author : Carlos Soares
language : en
Publisher:
Release Date : 2008
Applications Of Data Mining In E Business And Finance written by Carlos Soares and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Business & Economics categories.
Contains extended versions of a selection of papers presented at the workshop Data mining for business, held in 2007 together with the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Nanjing China--Preface.
Data Mining For Business Analytics
DOWNLOAD
Author : Galit Shmueli
language : en
Publisher: John Wiley & Sons
Release Date : 2019-10-14
Data Mining For Business Analytics written by Galit Shmueli and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-14 with Mathematics categories.
Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source software) to tackle business problems and opportunities. This is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes: A new co-author, Peter Gedeck, who brings both experience teaching business analytics courses using Python, and expertise in the application of machine learning methods to the drug-discovery process A new section on ethical issues in data mining Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students More than a dozen case studies demonstrating applications for the data mining techniques described End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology. “This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining. If not the bible, it is at the least a definitive manual on the subject.” —Gareth M. James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R
Data Mining For Business Applications
DOWNLOAD
Author : Carlos A. Mota Soares
language : en
Publisher: IOS Press
Release Date : 2010
Data Mining For Business Applications written by Carlos A. Mota Soares and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Computers categories.
Data mining is already incorporated into the business processes in sectors such as health, retail, automotive, finance, telecom and insurance as well as in government. This book contains extended versions of a selection of papers presented at a series of workshops held between 2005 and 2008 on the subject of data mining for business applications.
Data Mining Concepts Methodologies Tools And Applications
DOWNLOAD
Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2012-11-30
Data Mining Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-30 with Computers categories.
Data mining continues to be an emerging interdisciplinary field that offers the ability to extract information from an existing data set and translate that knowledge for end-users into an understandable way. Data Mining: Concepts, Methodologies, Tools, and Applications is a comprehensive collection of research on the latest advancements and developments of data mining and how it fits into the current technological world.
Applications Of Data Mining To Electronic Commerce
DOWNLOAD
Author : Ronny Kohavi
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Applications Of Data Mining To Electronic Commerce written by Ronny Kohavi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Applications of Data Mining to Electronic Commerce brings together in one place important contributions and up-to-date research results in this fast moving area. Applications of Data Mining to Electronic Commerce serves as an excellent reference, providing insight into some of the most challenging research issues in the field.
Application Of Big Data Blockchain And Internet Of Things For Education Informatization
DOWNLOAD
Author : Mian Ahmad Jan
language : en
Publisher: Springer Nature
Release Date : 2021-10-12
Application Of Big Data Blockchain And Internet Of Things For Education Informatization written by Mian Ahmad Jan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-12 with Computers categories.
This two-volume set constitutes the refereed proceedings of the First International Conference International Conference on Application of Big Data, Blockchain, and Internet of Things for Education Informatization. The conference was held in August 2021 and due to COVID-19 pandemic virtually. The 99 revised full papers and 45 short papers have been selected from 503 submissions. The papers describe research fields such as “big data” and “information education”. The aim of the conference is to provide international cooperation and exchange platforms for big data and information education experts, scholars and enterprise developers to share research results, discuss existing problems and challenges, and explore cutting-edge science and technology.
Microsoft Data Mining
DOWNLOAD
Author : Barry de Ville
language : en
Publisher: Digital Press
Release Date : 2001-05
Microsoft Data Mining written by Barry de Ville and has been published by Digital Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-05 with Computers categories.
This guide teaches data mining from the perspective of IT professionals using Microsoft data management and e-commerce technologies. The book explains major new data mining capabilities in the forthcoming SQL Server 2000, Microsoft Commerce Server, and other products, and details the new Microsoft standard, "OLE DB for Data Mining".
Surveillance Technologies And Early Warning Systems Data Mining Applications For Risk Detection
DOWNLOAD
Author : Koyuncugil, Ali Serhan
language : en
Publisher: IGI Global
Release Date : 2010-09-30
Surveillance Technologies And Early Warning Systems Data Mining Applications For Risk Detection written by Koyuncugil, Ali Serhan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-30 with Computers categories.
Surveillance Technologies and Early Warning Systems: Data Mining Applications for Risk Detection has never been more important, as the research this book presents an alternative to conventional surveillance and risk assessment. This book is a multidisciplinary excursion comprised of data mining, early warning systems, information technologies and risk management and explores the intersection of these components in problematic domains. It offers the ability to apply the most modern techniques to age old problems allowing for increased effectiveness in the response to future, eminent, and present risk.