Sensing user context and habits for run-time energy optimization

Author:

Chaib Draa Ismat,Niar Smail,Tayeb Jamel,Grislin Emmanuelle,Desertot Mikael

Funder

University of Valenciennes

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science,Control and Systems Engineering

Reference20 articles.

1. G Semeraro, G Magklis, R Balasubramonian, DH Albonesi, S Dwarkadas, ML Scott, in Proceedings of the 8th International Symposium on High-Performance Computer Architecture. HPCA ’02. Energy-efficient processor design using multiple clock domains with dynamic voltage and frequency scaling (IEEE Computer SocietyWashington, DC, USA, 2002), p. 29.

2. A Shye, B Scholbrock, G Memik, in Proceed. of the 42nd Annual IEEE/ACM Int. Symposium on Microarchitecture. MICRO 42. Into the wild: studying real user activity patterns to guide power optimizations for mobile architectures (ACMNew York, NY, USA, 2009), pp. 168–178.

3. CH Mooney, JF Roddick, Sequential pattern mining—approaches and algorithms. ACM Comput. Surv.45(2), 1–39 (2013).

4. R Srikant, R Agarwal, in Proceed. of the 5th Int. Conf. on EDT: Advances in Database Technology. Mining sequential patterns: generalizations and performance improvements (ACM, 1996), pp. 3–17.

5. Y Hirate, H Yamana, Generalized sequential pattern mining with item intervals. J. Comput.1(3), 51–60 (2006).

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