- We will send in 10–14 business days.
/images/books/10068524/9781466640788.jpg)
- Publisher: Information Science Reference
- ISBN-10: 1466640782
- ISBN-13: 9781466640788
- Format: 21.6 x 27.9 x 2.1 cm, hardcover
- Language: English
- SAVE -10% with code: EXTRA
Ethical Data Mining Applications for Socio-Economic Development (e-book) (used book) | bookbook.eu
Reviews
Description
Organizations that utilize data mining techniques can amass valuable information on clients' habits and preferences, behavior patterns, purchase patterns, sales patterns, and stock forecasts. Ethical Data Mining Applications for Socio-Economic Development provides an overview of data mining techniques under an ethical lens, investigating developments in research and best practices, while evaluating experimental cases to identify potential ethical dilemmas in the information and communications technology sector. The cases and research in this book will benefit scientists, researchers, and practitioners working in the field of data mining, data warehousing, and database management to ensure that data obtained through web-based investigations is properly handled at all organizational levels. This book is part of the Advances in Data Mining and Database Management series collection.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 20d.16:29:10
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Publisher: Information Science Reference
- ISBN-10: 1466640782
- ISBN-13: 9781466640788
- Format: 21.6 x 27.9 x 2.1 cm, hardcover
- Language: English English
Organizations that utilize data mining techniques can amass valuable information on clients' habits and preferences, behavior patterns, purchase patterns, sales patterns, and stock forecasts. Ethical Data Mining Applications for Socio-Economic Development provides an overview of data mining techniques under an ethical lens, investigating developments in research and best practices, while evaluating experimental cases to identify potential ethical dilemmas in the information and communications technology sector. The cases and research in this book will benefit scientists, researchers, and practitioners working in the field of data mining, data warehousing, and database management to ensure that data obtained through web-based investigations is properly handled at all organizational levels. This book is part of the Advances in Data Mining and Database Management series collection.
Reviews