Exploring the intellectual structure of cloud patents using non-exhaustive overlaps

Author:

Huang Jia-Yen,Chen Rong-ChangORCID

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Computer Science Applications,General Social Sciences

Reference23 articles.

1. Abbas, A., Zhang, L., & Khan, S. U. (2014). A literature review on the state-of-the-art in patent analysis. World Patent Information, 37, 3–13.

2. Albert, T. (2016). Measuring technology maturity: Operationalizing information from patents, Scientific Publications, and the Web. Berlin: Springer.

3. Batsyn, M., Bychkov, I., Goldengorin, B., Pardalos, P., & Sukhov, P. (2013). Pattern-based heuristic for the cell formation problem in group technology. In B. Goldengorin, V. Kalyagin, & P. Pardalos (Eds.), Models, algorithms, and technologies for network analysis (pp. 11–50). New York: Springer.

4. Callewaert, P., Robinson, P.A., & Blatman, P. (2009). Cloud computing Forecasting change. Deloitte Report.

5. Chattopadhyay, M., Chattopadhyay, S., & Dan, P. K. (2011). Machine-part cell formation through visual decipherable clustering of self-organizing map. The International Journal of Advanced Manufacturing Technology, 52(9–12), 1019–1030.

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