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SENSYS
2006
ACM
13 years 11 months ago
Data analysis tools for sensor-based science
Science is increasingly driven by data collected automatically from arrays of inexpensive sensors. The collected data volumes require a different approach from the scientists'...
Stuart Ozer, Jim Gray, Alexander S. Szalay, Andrea...
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
13 years 12 months ago
A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks
This paper offers a local distributed algorithm for expectation maximization in large peer-to-peer environments. The algorithm can be used for a variety of well-known data mining...
Kanishka Bhaduri, Ashok N. Srivastava
IBMRD
2011
112views more  IBMRD 2011»
13 years 6 days ago
Sensor Andrew: Large-scale campus-wide sensing and actuation
—We present Sensor Andrew, a multi-disciplinary campus-wide scalable sensor network that is designed to host a wide range of sensor, actuator and low-power applications. The goal...
Anthony Rowe, Mario Berges, Gaurav Bhatia, Ethan G...
KBSE
2007
IEEE
13 years 11 months ago
Adaptation hiding modularity
Growth in the complexity of computing systems, in the dynamism of the environments they operate in, and the need for timely adaptations as conditions change, now pose significant...
Yuanyuan Song
ICDE
2004
IEEE
140views Database» more  ICDE 2004»
14 years 6 months ago
Approximate Aggregation Techniques for Sensor Databases
In the emerging area of sensor-based systems, a significant challenge is to develop scalable, fault-tolerant methods to extract useful information from the data the sensors collec...
Jeffrey Considine, Feifei Li, George Kollios, John...