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ICDM
2007
IEEE
175views Data Mining» more  ICDM 2007»
16 years 20 days ago
gApprox: Mining Frequent Approximate Patterns from a Massive Network
Recently, there arise a large number of graphs with massive sizes and complex structures in many new applications, such as biological networks, social networks, and the Web, deman...
Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han
IPSN
2010
Springer
15 years 8 months ago
Collaborative signal processing for action recognition in body sensor networks: a distributed classification algorithm using mot
Body sensor networks are emerging as a promising platform for remote human monitoring. With the aim of extracting bio-kinematic parameters from distributed body-worn sensors, thes...
Hassan Ghasemzadeh, Vitali Loseu, Roozbeh Jafari
EUROSYS
2006
ACM
16 years 3 months ago
Practical taint-based protection using demand emulation
Many software attacks are based on injecting malicious code into a target host. This paper demonstrates the use of a wellknown technique, data tainting, to track data received fro...
Alex Ho, Michael A. Fetterman, Christopher Clark, ...
AAAI
2007
15 years 8 months ago
Near-optimal Observation Selection using Submodular Functions
AI problems such as autonomous robotic exploration, automatic diagnosis and activity recognition have in common the need for choosing among a set of informative but possibly expen...
Andreas Krause, Carlos Guestrin
ESANN
2001
15 years 7 months ago
Some known facts about financial data
: Many researchers are interesting in applying the neural networks methods to financial data. In fact these data are very complex, and classical methods do not always give satisfac...
Eric de Bodt, Joseph Rynkiewicz, Marie Cottrell