ebook img

Applications of Data Mining in E-Business and Finance PDF

157 Pages·2008·3.223 MB·English
Save to my drive
Quick download
Download

Download Applications of Data Mining in E-Business and Finance PDF Free - Full Version

About Applications of Data Mining in E-Business and Finance

The application of Data Mining (DM) technologies has shown an explosive growth in an increasing number of different areas of business, government and science. Two of the most important business areas are finance, in particular in banks and insurance companies, and e-business, such as web portals, e-commerce and ad management services.In spite of the close relationship between research and practice in Data Mining, it is not easy to find information on some of the most important issues involved in real world application of DM technology, from business and data understanding to evaluation and deployment. Papers often describe research that was developed without taking into account constraints imposed by the motivating application. When these issues are taken into account, they are frequently not discussed in detail because the paper must focus on the method. Therefore knowledge that could be useful for those who would like to apply the same approach on a related problem is not shared. The papers in this book address some of these issues. This book is of interest not only to Data Mining researchers and practitioners, but also to students who wish to have an idea of the practical issues involved in Data Mining.IOS Press is an international science, technical and medical publisher of high-quality books for academics, scientists, and professionals in all fields. Some of the areas we publish in: -Biomedicine -Oncology -Artificial intelligence -Databases and information systems -Maritime engineering -Nanotechnology -Geoengineering -All aspects of physics -E-governance -E-commerce -The knowledge economy -Urban studies -Arms control -Understanding and responding to terrorism -Medical informatics -Computer Sciences

Detailed Information

Author:Carlos Soares, Yonghong Peng, Jun Meng, Takashi Washio, Zhi-Hua Zhou (Editors)
Publication Year:2008
ISBN:9781586038908
Pages:157
Language:English
File Size:3.223
Format:PDF
Price:FREE
Download Free PDF

Safe & Secure Download - No registration required

Why Choose PDFdrive for Your Free Applications of Data Mining in E-Business and Finance Download?

  • 100% Free: No hidden fees or subscriptions required for one book every day.
  • No Registration: Immediate access is available without creating accounts for one book every day.
  • Safe and Secure: Clean downloads without malware or viruses
  • Multiple Formats: PDF, MOBI, Mpub,... optimized for all devices
  • Educational Resource: Supporting knowledge sharing and learning

Frequently Asked Questions

Is it really free to download Applications of Data Mining in E-Business and Finance PDF?

Yes, on https://PDFdrive.to you can download Applications of Data Mining in E-Business and Finance by Carlos Soares, Yonghong Peng, Jun Meng, Takashi Washio, Zhi-Hua Zhou (Editors) completely free. We don't require any payment, subscription, or registration to access this PDF file. For 3 books every day.

How can I read Applications of Data Mining in E-Business and Finance on my mobile device?

After downloading Applications of Data Mining in E-Business and Finance PDF, you can open it with any PDF reader app on your phone or tablet. We recommend using Adobe Acrobat Reader, Apple Books, or Google Play Books for the best reading experience.

Is this the full version of Applications of Data Mining in E-Business and Finance?

Yes, this is the complete PDF version of Applications of Data Mining in E-Business and Finance by Carlos Soares, Yonghong Peng, Jun Meng, Takashi Washio, Zhi-Hua Zhou (Editors). You will be able to read the entire content as in the printed version without missing any pages.

Is it legal to download Applications of Data Mining in E-Business and Finance PDF for free?

https://PDFdrive.to provides links to free educational resources available online. We do not store any files on our servers. Please be aware of copyright laws in your country before downloading.

The materials shared are intended for research, educational, and personal use in accordance with fair use principles.