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» Making Sense of Sensor Data
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SEUS
2009
IEEE
14 years 2 months ago
HiperSense: An Integrated System for Dense Wireless Sensing and Massively Scalable Data Visualization
HiperSense is a system for sensing and data visualization. Its sensing part is comprised of a heterogeneous wireless sensor network (WSN) as enabled by infrastructure support for h...
Pai H. Chou, Chong-Jing Chen, Stephen F. Jenks, Su...
EWSN
2008
Springer
14 years 7 months ago
Discovery of Frequent Distributed Event Patterns in Sensor Networks
Today it is possible to deploy sensor networks in the real world and collect large amounts of raw sensory data. However, it remains a major challenge to make sense of sensor data, ...
Kay Römer
CHI
2011
ACM
12 years 11 months ago
Apolo: making sense of large network data by combining rich user interaction and machine learning
Extracting useful knowledge from large network datasets has become a fundamental challenge in many domains, from scientific literature to social networks and the web. We introduc...
Duen Horng Chau, Aniket Kittur, Jason I. Hong, Chr...
ISI
2007
Springer
14 years 1 months ago
Making Sense of VAST Data
: We view the task of sensemaking in intelligence as that of abducing a story whose plot explains the current data and makes verifiable predictions about the future and the past. W...
Summer Adams, Ashok K. Goel
BIOINFORMATICS
2002
123views more  BIOINFORMATICS 2002»
13 years 7 months ago
Making sense of microarray data distributions
Motivation: Typical analysis of microarray data has focused on spot by spot comparisons within a single organism. Less analysis has been done on the comparison of the entire distr...
David C. Hoyle, Magnus Rattray, Ray Jupp, Andy Bra...