Understanding and using rough set based feature selection : concepts, techniques and applications /: concepts, techniques and applications. ([2017])
- Record Type:
- Book
- Title:
- Understanding and using rough set based feature selection : concepts, techniques and applications /: concepts, techniques and applications. ([2017])
- Main Title:
- Understanding and using rough set based feature selection : concepts, techniques and applications
- Further Information:
- Note: Muhammad Summari Raza, Usman Qamar.
- Authors:
- Raza, Muhammad Summair
Qamar, Usman - Contents:
- Introduction to Feature Selection -- Background -- Rough Set Theory -- Advance Concepts in RST -- Rough Set Based Feature Selection Techniques -- Unsupervised Feature Selection using RST -- Critical Analysis of Feature Selection Algorithms -- RST Source Code.
- Publisher Details:
- Singapore : Springer
- Publication Date:
- 2017
- Extent:
- 1 online resource (xiii, 194 pages), illustrations (some color)
- Subjects:
- 511.3/22
Rough sets
MATHEMATICS -- General
Rough sets
Computer Science
Artificial Intelligence (incl. Robotics)
Information Systems Applications (incl. Internet)
Database Management
Data Mining and Knowledge Discovery
Numeric Computing
Electronic books - Languages:
- English
- ISBNs:
- 9789811049651
9811049653
9811049645
9789811049644 - Related ISBNs:
- 9789811049644
- Notes:
- Note: Includes bibliographical references.
Note: Online resource; title from PDF title page (SpringerLink, viewed July 10, 2017). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.406099
- Ingest File:
- 02_478.xml