Contributions

  • SpringerLink (Online service) - Contributor

Publication

2013 - Springer US, Boston, MA, United States

Language

English

Word Count

133,500 words, Guess

Page Count

534 pages

Physical Format

[electronic resource] /

Identifiers

Classifications

  • DDC006.312
  • LCCQA76.9.D343

Description

<p>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. </p><p><i>Managing and Mining Sensor Data</i> 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. </p>

Subjects

Links

Other Editions

  • Managing and Mining Sensor Data[electronic resource] /Springer US2013-01-01

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