Astronomy and Big Data A Data Clustering Approach to Identifying Uncertain Galaxy Morphology

Astronomy and Big Data A Data Clustering Approach to Identifying Uncertain Galaxy Morphology / by Kieran Jay Edwards, Mohamed Medhat Gaber.

With the onset of massive cosmological data collection through media such as the Sloan Digital Sky Survey (SDSS), galaxy classification has been accomplished for the most part with the help of citizen science communities like Galaxy Zoo. Seeking the wisdom of the crowd for such Big Data processing h...

Full description

Saved in:
Bibliographic Details
Main Authors: Edwards, Kieran Jay (Author), Gaber, Mohamed Medhat (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
Edition:1st ed. 2014.
Series:Studies in Big Data, 6
Springer eBook Collection.
Subjects:
Computational intelligence.
Artificial intelligence.
Observations, Astronomical.
Astronomy—Observations.
Data mining.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Introduction
  • Astronomy, Galaxies and Stars: An Overview
  • Astronomical Data Mining
  • Adopted Data Mining Methods
  • Research Methodology
  • Development of Data Mining Models
  • Experimentation Results
  • Conclusion and Future Work.

Similar Items