| Titre : |
Knowledge discovery in big data from astronomy and Earth observation : astrogeoinformatics |
| Type de document : |
texte imprimé |
| Auteurs : |
Petr Skoda, Auteur ; Fathalrahman Adam, Auteur |
| Editeur : |
Amsterdam ; Boston, Mass. ; Paris [international] : Elsevier |
| Année de publication : |
2020 |
| Importance : |
1 vol. (xvii-453 p.) |
| Présentation : |
ill. en noir et en coul., cartes, fig. , couv. ill. en coul. |
| Format : |
24 cm |
| ISBN/ISSN/EAN : |
978-0-12-819154-5 |
| Note générale : |
Part I. Data - Part II Information - Part III Knowledge -- Part IV Wisdom. - PPN 254630413 |
| Langues : |
Anglais (eng) |
| Tags : |
Données massives Exploration de données Géomatique Astronomie Séries chronologiques Apprentissage automatique Astronomy Big data Geoinformatics Time-series analysis Machine learning Data mining |
| Index. décimale : |
520.285 Astronomie et sciences connexes - Informatique appliquée |
| Résumé : |
Knowledge Discovery in Big Data from Astronomy and Earth Observation...bridges the gap between astronomy and geoscience in the context of applications, techniques and key principles of big data. Machine learning and parallel computing are increasingly becoming cross-disciplinary as the phenomena of Big Data is becoming common place. This book provides insight into the common workflows and data science tools used for big data in astronomy and geoscience. After establishing similarity in data gathering, pre-processing and handling, the data science aspects are illustrated in the context of both fields. Software, hardware and algorithms of big data are addressed. Finally, the book offers insight into the emerging science which combines data and expertise from both fields in studying the effect of cosmos on the earth and its inhabitants.
|
| Note de contenu : |
Réf. bibliogr. en fin de chapitres. Index p.445-453 |
Knowledge discovery in big data from astronomy and Earth observation : astrogeoinformatics [texte imprimé] / Petr Skoda, Auteur ; Fathalrahman Adam, Auteur . - Amsterdam ; Boston, Mass. ; Paris (international) : Elsevier, 2020 . - 1 vol. (xvii-453 p.) : ill. en noir et en coul., cartes, fig. , couv. ill. en coul. ; 24 cm. ISBN : 978-0-12-819154-5 Part I. Data - Part II Information - Part III Knowledge -- Part IV Wisdom. - PPN 254630413 Langues : Anglais ( eng)
| Tags : |
Données massives Exploration de données Géomatique Astronomie Séries chronologiques Apprentissage automatique Astronomy Big data Geoinformatics Time-series analysis Machine learning Data mining |
| Index. décimale : |
520.285 Astronomie et sciences connexes - Informatique appliquée |
| Résumé : |
Knowledge Discovery in Big Data from Astronomy and Earth Observation...bridges the gap between astronomy and geoscience in the context of applications, techniques and key principles of big data. Machine learning and parallel computing are increasingly becoming cross-disciplinary as the phenomena of Big Data is becoming common place. This book provides insight into the common workflows and data science tools used for big data in astronomy and geoscience. After establishing similarity in data gathering, pre-processing and handling, the data science aspects are illustrated in the context of both fields. Software, hardware and algorithms of big data are addressed. Finally, the book offers insight into the emerging science which combines data and expertise from both fields in studying the effect of cosmos on the earth and its inhabitants.
|
| Note de contenu : |
Réf. bibliogr. en fin de chapitres. Index p.445-453 |
|
Knowledge discovery in big data from astronomy and Earth observation (2020)