Data Mining in Engineering, Management and Medicine
Seiten
2018
Arcler Education Inc (Verlag)
978-1-77361-250-8 (ISBN)
Arcler Education Inc (Verlag)
978-1-77361-250-8 (ISBN)
Offers a rich blend of theory and practice as well as examining the technology from a practical point of view. A premier resource for those involved in data mining and medical knowledge management, this book tackles ethical issues related to cost-sensitive learning in medicine and produces theoretical contributions concerning general problems of engineering and management.
Offering a rich blend of theory and practice as well as examining the technology from a practical point of view. A premier resource for those involved in data mining and medical knowledge management, this book tackles ethical issues related to cost-sensitive learning in medicine and produces theoretical contributions concerning general problems of engineering and management. This book is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.
Offering a rich blend of theory and practice as well as examining the technology from a practical point of view. A premier resource for those involved in data mining and medical knowledge management, this book tackles ethical issues related to cost-sensitive learning in medicine and produces theoretical contributions concerning general problems of engineering and management. This book is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.
Neha Kaul is an experienced Java consultant currently living in Paris, France. She works at BNP Paribas. She received her double Master’s Degree in Computer and Communication Networks and Information Technology from Telecom SudParis and University Paris-Saclay in 2016. She is a recipient of the prestigious Telecom Scholarship for Excellence provided by Fondation Telecom, France.
| Erscheinungsdatum | 04.12.2018 |
|---|---|
| Sprache | englisch |
| Maße | 152 x 229 mm |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Medizin / Pharmazie | |
| Technik | |
| Wirtschaft ► Betriebswirtschaft / Management | |
| ISBN-10 | 1-77361-250-6 / 1773612506 |
| ISBN-13 | 978-1-77361-250-8 / 9781773612508 |
| Zustand | Neuware |
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