1009 search results - page 38 / 202 » Using Data Mining to Estimate Missing Sensor Data |
79
Voted
KDD
1997
ACM
15 years 1 months ago
1997
ACM
Exploratory data analysis is inherently an iterative, interactive endeavor. In the context of massive data sets, however, many current data analysis algorithms will not scale appr...
PRICAI
2004
Springer
15 years 2 months ago
2004
Springer
Currently, most human action recognition systems are trained with feature sets that have no missing data. Unfortunately, the use of human pose estimation models to provide more des...
SP
2008
IEEE
15 years 3 months ago
2008
IEEE
The efficacy of Anomaly Detection (AD) sensors depends heavily on the quality of the data used to train them. Artificial or contrived training data may not provide a realistic v...
IEAAIE
2010
Springer
14 years 7 months ago
2010
Springer
An innovative technique based on multi-objective grammar guided genetic programming (MOG3P-MI) is proposed to detect the most relevant activities that a student needs to pass a cou...
108
Voted
MOBIDE
2006
ACM
15 years 3 months ago
2006
ACM
Mobile and pervasive applications frequently rely on devices such as RFID antennas or sensors (light, temperature, motion) to provide them information about the physical world. Th...