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PVLDB
2008
107views more  PVLDB 2008»
13 years 7 months ago
Finding relevant patterns in bursty sequences
Sequence data is ubiquitous and finding frequent sequences in a large database is one of the most common problems when analyzing sequence data. Unfortunately many sources of seque...
Alexander Lachmann, Mirek Riedewald
CORR
2010
Springer
155views Education» more  CORR 2010»
13 years 8 months ago
Data-driven Co-clustering Model of Internet Usage in Large Mobile Societies
Design and simulation of future mobile networks will center around human interests and behavior. We propose a design paradigm for mobile networks driven by realistic models of use...
Saeed Moghaddam, Ahmed Helmy, Sanjay Ranka, Manas ...
IJMMS
2007
166views more  IJMMS 2007»
13 years 7 months ago
Visualization of large networks with min-cut plots, A-plots and R-MAT
What does a ‘normal’ computer (or social) network look like? How can we spot ‘abnormal’ sub-networks in the Internet, or web graph? The answer to such questions is vital f...
Deepayan Chakrabarti, Christos Faloutsos, Yiping Z...
EAAI
2006
157views more  EAAI 2006»
13 years 8 months ago
Blind source separation based on self-organizing neural network
This contribution describes a neural network that self-organizes to recover the underlying original sources from typical sensor signals. No particular information is required abou...
Anke Meyer-Bäse, Peter Gruber, Fabian J. Thei...
EMNETS
2007
13 years 12 months ago
Acoustic laptops as a research enabler
The Acoustic ENSBox [1] is an embedded platform which enables practical distributed acoustic sensing by providing integrated hardware and software support in a single platform. It...
Michael Allen, Lewis Girod, Deborah Estrin