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» Using Data Mining to Estimate Missing Sensor Data
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AUSDM
2008
Springer
224views Data Mining» more  AUSDM 2008»
14 years 11 months ago
Customer Event Rate Estimation Using Particle Filters
Estimating the rate at which events happen has been studied under various guises and in different settings. We are interested in the specific case of consumerinitiated events or t...
Harsha Honnappa
ICDM
2005
IEEE
148views Data Mining» more  ICDM 2005»
15 years 3 months ago
Online Hierarchical Clustering in a Data Warehouse Environment
Many important industrial applications rely on data mining methods to uncover patterns and trends in large data warehouse environments. Since a data warehouse is typically updated...
Elke Achtert, Christian Böhm, Hans-Peter Krie...
DCOSS
2007
Springer
15 years 3 months ago
Separating the Wheat from the Chaff: Practical Anomaly Detection Schemes in Ecological Applications of Distributed Sensor Networ
Abstract. We develop a practical, distributed algorithm to detect events, identify measurement errors, and infer missing readings in ecological applications of wireless sensor netw...
Luís M. A. Bettencourt, Aric A. Hagberg, Le...
SIGMOD
2004
ACM
209views Database» more  SIGMOD 2004»
15 years 9 months ago
MAIDS: Mining Alarming Incidents from Data Streams
Real-time surveillance systems, network and telecommunication systems, and other dynamic processes often generate tremendous (potentially infinite) volume of stream data. Effectiv...
Y. Dora Cai, David Clutter, Greg Pape, Jiawei Han,...
DCOSS
2007
Springer
15 years 1 months ago
Energy-Efficient Data Acquisition Using a Distributed and Self-organizing Scheduling Algorithm for Wireless Sensor Networks
Abstract. Wireless sensor networks are often densely deployed for environmental monitoring applications. Collecting raw data from these networks can lead to excessive energy consum...
Supriyo Chatterjea, Tim Nieberg, Yang Zhang, Paul ...