Transparent Data Mining for Big and Small Data (Studies in Big Data #32)
By: and and
Sign Up Now!
Already a Member? Log In
You must be logged into UK education collection to access this title.
Learn about membership options,
or view our freely available titles.
- Synopsis
- This book focuses on new and emerging data mining solutions that offer a greater level of transparency than existing solutions. Transparent data mining solutions with desirable properties (e.g. effective, fully automatic, scalable) are covered in the book. Experimental findings of transparent solutions are tailored to different domain experts, and experimental metrics for evaluating algorithmic transparency are presented. The book also discusses societal effects of black box vs. transparent approaches to data mining, as well as real-world use cases for these approaches.As algorithms increasingly support different aspects of modern life, a greater level of transparency is sorely needed, not least because discrimination and biases have to be avoided. With contributions from domain experts, this book provides an overview of an emerging area of data mining that has profound societal consequences, and provides the technical background to for readers to contribute to the field or to put existing approaches to practical use.
- Copyright:
- 2017
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783319540245
- Related ISBNs:
- 9783319540238
- Publisher:
- Springer International Publishing
- Date of Addition:
- 10/04/18
- Copyrighted By:
- Springer International Publishing, Cham
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Business and Finance, Technology, Law, Legal Issues and Ethics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
Reviews
Other Books
- by Tania Cerquitelli
- by Daniele Quercia
- by Frank Pasquale
- in Nonfiction
- in Computers and Internet
- in Business and Finance
- in Technology
- in Law, Legal Issues and Ethics