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» Using Data Mining to Estimate Missing Sensor Data
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WD
2010
14 years 7 months ago
QoE estimation of a location-based mobile game using on-body sensors and QoS-related data
The scope of this paper is the interdisciplinary measurement and modeling methodology of Quality of Experience (QoE) when playing a mobile location-based massively multiplayer onli...
Adrian Juan Verdejo, Katrien De Moor, Istvan Ketyk...
BICOB
2010
Springer
14 years 9 months ago
Integrative Biomarker Discovery for Breast Cancer Metastasis from Gene Expression and Protein Interaction Data Using Error-toler
Biomarker discovery for complex diseases is a challenging problem. Most of the existing approaches identify individual genes as disease markers, thereby missing the interactions a...
Rohit Gupta, Smita Agrawal, Navneet Rao, Ze Tian, ...
3DIM
2007
IEEE
15 years 3 months ago
Image-based Model Completion
Geometric models created from range sensors are usually incomplete. Considerable effort has been made to fix this problem, ranging from manual repairing to geometric interpolatio...
Alan Brunton, Stefanie Wuhrer, Chang Shu
MDM
2004
Springer
133views Communications» more  MDM 2004»
15 years 2 months ago
Cache-Miss-Initiated Prefetch in Mobile Environments
Prefetching has been widely used to improve system performance in mobile environments. Since prefetching consumes system resources, such as bandwidth and power, it is important to...
Hui Song, Guohong Cao
SDM
2009
SIAM
202views Data Mining» more  SDM 2009»
15 years 6 months ago
Proximity-Based Anomaly Detection Using Sparse Structure Learning.
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe,...