Advances in machine learning and data mining for astronomy. (©2012)
- Record Type:
- Book
- Title:
- Advances in machine learning and data mining for astronomy. (©2012)
- Main Title:
- Advances in machine learning and data mining for astronomy
- Further Information:
- Note: Editors, Michael J. Way [and others].
- Other Names:
- Way, Michael J
- Contents:
- Front Cover; Contents; Foreword; Editors; Perspective; Contributors; PART I: Foundational Issues; CHAPTER 1: Classification in Astronomy: Past and Present; CHAPTER 2: Searching the Heavens: Astronomy, Computation, Statistics, Data Mining, and Philosophy; CHAPTER 3: Probability and Statistics in Astronomical Machine Learning and Data Mining; PART II: Astronomical Applications; SECTION 1: Source Identification; CHAPTER 4: Automated Science Processing for the Fermi Large Area Telescope; CHAPTER 5: Cosmic Microwave Background Data Analysis.
- Publisher Details:
- Boca Raton : Chapman and Hall/CRC
- Publication Date:
- 2012
- Copyright Date:
- 2012
- Extent:
- 1 online resource, color illustrations
- Subjects:
- 522/.85631
Astronomy -- Data processing
Data mining
Machine learning
Astronomy -- Data processing
Data mining
Machine learning
COMPUTERS -- Database Management -- Data Mining
SCIENCE -- Astrophysics & Space Science
SCIENCE -- Physics
NATURE -- Sky Observation
Astronomy -- Data processing
Data mining
Machine learning
Electronic books - Languages:
- English
- ISBNs:
- 9781439841747
1439841748 - Related ISBNs:
- 9781439841730
143984173X - Notes:
- Note: Includes bibliographical references and index.
Note: Print version record. - 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.143300
- Ingest File:
- 01_054.xml