Managing and Mining Sensor Data
ISBN 10: 1489992383 ISBN 13: 9781489992383
Verlag: Springer, 2015
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Advances in hardware technology have lead to an ability to collect data with the use of a variety of sensor technologies. In particular sensor notes have become cheaper and more efficient, and have even been integrated into day-to-day devices of use, such as mobile phones. This has lead to a much larger scale of applicability and mining of sensor data sets. The human-centric aspect of sensor data has created tremendous opportunities in integrating social aspects of sensor data collection into the mining process.
Managing and Mining Sensor Data is a contributed volume by prominent leaders in this field, targeting advanced-level students in computer science as a secondary text book or reference. Practitioners and researchers working in this field will also find this book useful.
Críticas:
From the reviews:
“In this excellent book, editor Charu C. Aggarwal offers a comprehensive overview of the management and mining of sensor data. The book succeeds in delivering a good balance of breadth versus depth, making it useful for graduate students, researchers, and practitioners ... . this book serves as a compact yet authoritative compendium of methods for sensor data collection and mining, with a good balance between theory and practice. I definitely recommend it to anyone who has an interest in sensor network applications.” (Alessandro Berni, Computing Reviews, August, 2013)
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Titel: Managing and Mining Sensor Data
Verlag: Springer
Erscheinungsdatum: 2015
Einband: Softcover
Zustand: New
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Managing and Mining Sensor Data
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Managing and Mining Sensor Data
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Taschenbuch. Zustand: Neu. Managing and Mining Sensor Data | Charu C. Aggarwal | Taschenbuch | xiv | Englisch | 2015 | Springer US | EAN 9781489992383 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Artikel-Nr. 104547449
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Managing and Mining Sensor Data
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Springer US, Springer New York Jun 2015, 2015
ISBN 10: 1489992383
ISBN 13: 9781489992383
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Taschenbuch. Zustand: Neu. Neuware -Advances in hardware technology have lead to an ability to collect data with the use of a variety of sensor technologies. In particular sensor notes have become cheaper and more efficient, and have even been integrated into day-to-day devices of use, such as mobile phones.This has lead to a much larger scale of applicability and mining of sensor data sets. The human-centric aspect of sensor data hascreated tremendous opportunities in integrating social aspects of sensor data collection into the mining process. Managing and Mining Sensor Data is a contributed volume by prominent leaders in this field, targeting advanced-level students in computer science as a secondary text book or reference. Practitioners and researchers working in this field will also find this book useful.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 548 pp. Englisch. Artikel-Nr. 9781489992383
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Advances in hardware technology have lead to an ability to collect data with the use of a variety of sensor technologies. In particular sensor notes have become cheaper and more efficient, and have even been integrated into day-to-day devices of use, such as mobile phones. This has lead to a much larger scale of applicability and mining of sensor data sets. The human-centric aspect of sensor data has created tremendous opportunities in integrating social aspects of sensor data collection into the mining process. Managing and Mining Sensor Data is a contributed volume by prominent leaders in this field, targeting advanced-level students in computer science as a secondary text book or reference. Practitioners and researchers working in this field will also find this book useful. Artikel-Nr. 9781489992383
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