Open Access
MATEC Web of Conferences
Volume 61, 2016
The International Seminar on Applied Physics, Optoelectronics and Photonics (APOP 2016)
Article Number 07016
Number of page(s) 4
Section Chapter 7 Wireless Communications
Published online 28 June 2016
  1. Rong Yu, Qi Zhang, Qian Than. Softest elastic mode governs materials hardness. Chinese Science Bulletin. 2014(15)
  2. A.L. Ivanovskii. Mechanical and electronic properties of diborides of transition 3 d —5 d metals from first principles: Toward search of novel ultra-incompressible and superhard materials. Progress in Materials Science. 2011(1)
  3. Minghai Yao, Miao Qi, Jinsong Li, Jun Kong. A novel classification method based on the ensemble learning and feature selection for aluminophosphate structural prediction. Microporous and Mesoporous Materials. 2014
  4. Qunyi Wei, Xiaodong Peng, Xiangguo Liu, Weidong Xie. Materials informatics and study on its further development. Chinese Science Bulletin. 2006 (4)
  5. Nongnuch Artrith, Alexander Urbanb. An implementation of artificial neural-network potentials for atomistic materials simulations: Performance for Ti02. Computational Materials Science. 2016(114): 135–150. [CrossRef]
  6. Mansouri Iman and Ozbakkaloglu Togay. Predicting behavior of FRP-confmed concrete using neuro fuzzy, neural network, multivariate adaptive regression splines and M5 model tree techniques. Materials and Structures/Materiaux et Constructions, p 1-16, January 5, 2016
  7. Cabaleiro Manuel, Riveiro Helen. Algorithm for the analysis of the geometric properties of cross-sections of timber beams with lack of material and Structures/Materiaux et Constructions December 30, 2015
  8. U.M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, Advances in knowledge discovery and data mining, in: American Association for Artificial Intelligence, iMenlo Park, CA, USA, 1996, pp. 1–34.
  9. D. Hand, H. Mannila, P. Smyth, Principles of Data Mining, MIT Press, 2001.
  10. C. Bizer, T. Heath, T. Berners-Lee, Linked data—the story so far, Int. J. Semant.Web Inform. Syst. 5 (3) (2009) 1–22.
  11. Amazon Elastic MapReduce,
  12. The Apache Hadoop Framework, (2013).
  13. Aridhi, S., d’Orazio, L., Maddouri, M., Mephu Nguifo, E. Density-based data partitioning strategy to approximate large-scale sub graph mining. Inf.Syst. 2015 vo1. 48, 213–223.
  14. Kang, U., Faloutsos,C., 2013. Biggraphmining: algorithmsan ddiscoveries. SIGKDD Explor. New vol. 14(2),29–36 [CrossRef]
  15. Aridhi S, Lacomme P. Ren L, et al. A MapReduce-based approach for shortest path problem in large-scale networks. Engineering Applications of Artificial Intelligence, 2015, 41: 151–165. [CrossRef]