Data Science
Springer Verlag, Singapore
978-981-10-6384-8 (ISBN)
Mathematical Issues in Data Science.- 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 eGovernment.- 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 | 24.10.2017 |
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Reihe/Serie | Communications in Computer and Information Science ; 727 |
Zusatzinfo | 351 Illustrations, black and white; XXV, 769 p. 351 illus. |
Verlagsort | Singapore |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
Informatik ► Grafik / Design ► Digitale Bildverarbeitung | |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Schlagworte | Applications • Computer Science • conference proceedings • convolutional neural network • Crowdsourcing • Data Analysis • Data Security • Deep learning • emotion analysis • event detection • Informatics • medical data management • Outlier Analysis • Pattern Matching • privacy • query processing • Recommender System • Research • Social Media • Social Networks • Spatial-Temporal data • wireless sensor networks |
ISBN-10 | 981-10-6384-2 / 9811063842 |
ISBN-13 | 978-981-10-6384-8 / 9789811063848 |
Zustand | Neuware |
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