Cargando…
Advances in machine learning and data mining for astronomy
Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and astronomers who illustrate the application of state-of-the-art machine learning and data mining techniques in astronomy. Due to the massive amount and...
| Autor principal: | |
|---|---|
| Lenguaje: | eng |
| Publicado: |
CRC Press
2012
|
| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/1486744 |
| _version_ | 1780926171869872128 |
|---|---|
| author | Way, Michael J |
| author_facet | Way, Michael J |
| author_sort | Way, Michael J |
| collection | CERN |
| description | Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and astronomers who illustrate the application of state-of-the-art machine learning and data mining techniques in astronomy. Due to the massive amount and complexity of data in most scientific disciplines, the material discussed in this text transcends traditional boundaries between various areas in the sciences and computer science. The book's introductory part provides context to issues in the astronomical sciences that are also important to health |
| id | cern-1486744 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2012 |
| publisher | CRC Press |
| record_format | invenio |
| spelling | cern-14867442020-07-16T20:02:00Zhttp://cds.cern.ch/record/1486744engWay, Michael JAdvances in machine learning and data mining for astronomyAstrophysics and AstronomyAdvances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and astronomers who illustrate the application of state-of-the-art machine learning and data mining techniques in astronomy. Due to the massive amount and complexity of data in most scientific disciplines, the material discussed in this text transcends traditional boundaries between various areas in the sciences and computer science. The book's introductory part provides context to issues in the astronomical sciences that are also important to healthCRC Pressoai:cds.cern.ch:14867442012 |
| spellingShingle | Astrophysics and Astronomy Way, Michael J Advances in machine learning and data mining for astronomy |
| title | Advances in machine learning and data mining for astronomy |
| title_full | Advances in machine learning and data mining for astronomy |
| title_fullStr | Advances in machine learning and data mining for astronomy |
| title_full_unstemmed | Advances in machine learning and data mining for astronomy |
| title_short | Advances in machine learning and data mining for astronomy |
| title_sort | advances in machine learning and data mining for astronomy |
| topic | Astrophysics and Astronomy |
| url | http://cds.cern.ch/record/1486744 |
| work_keys_str_mv | AT waymichaelj advancesinmachinelearninganddataminingforastronomy |