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.
%0 Book
%1 Aggarwal2013
%C New York
%D 2013
%E Aggarwal, Charu C.
%I Springer
%K 01624 103 springer book embedded ai network sensor data rfid pattern recognition processing analysis learn zzz.big
%R 10.1007/978-1-4614-6309-2
%T Managing and Mining Sensor Data
%X 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.
%@ 978-1-4614-6309-2
@book{Aggarwal2013,
abstract = {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.},
added-at = {2017-01-03T11:37:49.000+0100},
address = {New York},
biburl = {https://www.bibsonomy.org/bibtex/25d97f7f166f249cdfbe5449dbb461121/flint63},
doi = {10.1007/978-1-4614-6309-2},
editor = {Aggarwal, Charu C.},
file = {SpringerLink:2013/Aggarwal2013.pdf:PDF;Springer Product page:http\://www.springer.com/978-1-4614-6309-2:URL;Amazon Search inside:http\://www.amazon.de/gp/reader/1461463084/:URL},
groups = {public},
interhash = {5a5c3e2546d3733ceae2a0e4823d64f6},
intrahash = {5d97f7f166f249cdfbe5449dbb461121},
isbn = {978-1-4614-6309-2},
keywords = {01624 103 springer book embedded ai network sensor data rfid pattern recognition processing analysis learn zzz.big},
publisher = {Springer},
timestamp = {2017-07-13T18:08:42.000+0200},
title = {Managing and Mining Sensor Data},
username = {flint63},
year = 2013
}