logo

SCIENCE CHINA Information Sciences, Volume 59 , Issue 11 : 113101(2016) https://doi.org/10.1007/s11432-015-0934-9

Similarity assessment for scientific workflow clustering and recommendation

More info
  • ReceivedMay 18, 2016
  • AcceptedAug 22, 2016
  • PublishedOct 14, 2016

Abstract


Acknowledgment

Acknowledgments

This work was supported partially by National Natural Science Foundation of China (Grant Nos. 61379126, 61662021).


References

[1] Liu X Z, Huang G, Zhao Q, et al. Imashup: a mashup-based framework for service composition. newblock Sci China Inf Sci, 2014, 57: 012101 Google Scholar

[2] Ning H S, Liu H. Cyber-physical-social-thinking space based science and technology framework for the internet of things. newblock Sci China Inf Sci, 2015, 58: 031102 Google Scholar

[3] Starlinger J, Brancotte B, Cohen-Boulakia S, et al. Similarity search for scientific workflows. newblock Proc VLDB Endowment, 2014, 7: 1143-1154 CrossRef Google Scholar

[4] Huang J, Sun H, Song Q, et al. Revealing density-based clustering structure from the core-connected tree of a network. newblock IEEE Trans Knowl Data Eng, 2013, 25: 1876-1889 CrossRef Google Scholar