Astronomy and Big Data (Record no. 54860)
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| 000 -LEADER | |
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| fixed length control field | 03528nam a22005415i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-319-06599-1 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200421111658.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 140412s2014 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783319065991 |
| -- | 978-3-319-06599-1 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 006.3 |
| 100 1# - AUTHOR NAME | |
| Author | Edwards, Kieran Jay. |
| 245 10 - TITLE STATEMENT | |
| Title | Astronomy and Big Data |
| Sub Title | A Data Clustering Approach to Identifying Uncertain Galaxy Morphology / |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XII, 105 p. 54 illus., 24 illus. in color. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Studies in Big Data, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 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. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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 has proved extremely beneficial. However, an analysis of one of the Galaxy Zoo morphological classification data sets has shown that a significant majority of all classified galaxies are labelled as "Uncertain". This book reports on how to use data mining, more specifically clustering, to identify galaxies that the public has shown some degree of uncertainty for as to whether they belong to one morphology type or another. The book shows the importance of transitions between different data mining techniques in an insightful workflow. It demonstrates that Clustering enables to identify discriminating features in the analysed data sets, adopting a novel feature selection algorithms called Incremental Feature Selection (IFS). The book shows the use of state-of-the-art classification techniques, Random Forests and Support Vector Machines to validate the acquired results. It is concluded that a vast majority of these galaxies are, in fact, of spiral morphology with a small subset potentially consisting of stars, elliptical galaxies or galaxies of other morphological variants. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | Observations. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Gaber, Mohamed Medhat. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://dx.doi.org/10.1007/978-3-319-06599-1 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer International Publishing : |
| -- | Imprint: Springer, |
| -- | 2014. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Engineering. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Data mining. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Observations, Astronomical. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Astronomy |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computational intelligence. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Engineering. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computational Intelligence. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial Intelligence (incl. Robotics). |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Astronomy, Observations and Techniques. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Data Mining and Knowledge Discovery. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 2197-6503 ; |
| 912 ## - | |
| -- | ZDB-2-ENG |
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