Title :
Change sequence mining for interdependent context aware service processes using partial derivatives
Author :
Jacob, Binu ; Promod, K.V.
Author_Institution :
Cochin Univ. of Sci. & Technol., Cochin, India
Abstract :
Service process usually needs to be tailored for reuse because of change of context. In this paper, we present a mining approach to mining process change sequences based on different context using partial derivatives of the factors affecting the change context, thus finding the best feasible sequence.
Keywords :
data mining; ubiquitous computing; change sequence mining approach; interdependent context aware service processes; partial derivatives; Adaptation model; Context awareness; Context modeling; Context-aware services; Data mining; Information analysis; Jacobian matrices; Process design; Prototypes; Sequences;
Conference_Titel :
Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4244-5053-4
DOI :
10.1109/NABIC.2009.5393686
