This paperintroduces the notion of “universalinteraction,” allowing a device to adapt its functionality to exploit services it discovers as it moves into a new environment. Us...
Todd D. Hodes, Randy H. Katz, Edouard Servan-Schre...
Currently, many privacy-preserving data mining (PPDM) algorithms assume the semi-honest model and/or malicious model of multi-party interaction. However, both models are far from ...
Despite advances in the application of automated statistical and machine learning techniques to system log and trace data there will always be a need for human analysis of machine...
This paper introduces AORTA, a software architecture that provides object-level coordination and shared workspace awareness support to synchronous and distributed collaborative app...
Traditional data mining techniques have been extensively applied to find interesting patterns, build descriptive and predictive models from large volumes of data accumulated throug...
Mykola Pechenizkiy, Nikola Trcka, Ekaterina Vasily...