Data Science
Springer Verlag, Singapore
978-981-13-2202-0 (ISBN)
Computational theory for data science.- Big data management and applications.- Data quality and data preparation.- Evaluation and measurement in data science.- Data visualization.- Big data mining and knowledge management.- Infrastructure for data science.- Machine learning for data science.- Data security and privacy.- Applications of data science.- Case study of data science.- Multimedia data management and analysis.- Data-driven scientific research.- Data-driven bioinformatics.- Data-driven healthcare.- Data-driven management.- Data-driven e-government.- Data-driven smart city/planet.- Data marketing and economics.- Social media and recommendation systems.- Data-driven security.- Data-driven business model innovation.- Social and/or organizational impacts of data science.
Erscheinungsdatum | 20.09.2018 |
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Reihe/Serie | Communications in Computer and Information Science ; 901 |
Zusatzinfo | 325 Illustrations, black and white; XXIX, 755 p. 325 illus. |
Verlagsort | Singapore |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
ISBN-10 | 981-13-2202-3 / 9811322023 |
ISBN-13 | 978-981-13-2202-0 / 9789811322020 |
Zustand | Neuware |
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