SMK-means: An Improved Mini Batch K-means Algorithm Based on Mapreduce with Big Data
Journal Article
Xiao, B., Wang, Z., Liu, Q., & Liu, X. (2018)
SMK-means: An Improved Mini Batch K-means Algorithm Based on Mapreduce with Big Data. Computers, Materials & Continua, 56(3), 365-379. https://doi.org/10.3970/cmc.2018.01830
In recent years, the rapid development of big data technology has also been favored by more and more scholars. Massive data storage and calculation problems have also been sol...
Pianola - visualization of multivariate time-series security event data.
Conference Proceeding
Thomson, A., Graham, M., & Kennedy, J. (2013)
Pianola - visualization of multivariate time-series security event data. In Proceedings of IV2013, 123-131. https://doi.org/10.1109/IV.2013.15
Monitoring log files for network intrusions is unwieldy. To build a mental model of the log, an analyst is required to recognise continuous timelines and attack patterns from ...
Evolution pattern verification for services evolution in clouds with model driven architecture.
Journal Article
Wang, Z., Chalmers, K., & Liu, X. (2013)
Evolution pattern verification for services evolution in clouds with model driven architecture. International Journal for e-Learning Security, 3, 340-349. https://doi.org/10.20533/ijels.2046.4568.2013.0042
In this paper we will provide some discovered evolution patterns and its detailed underlying constitution components. Following the featured orientated model driven product ...
Evolution pattern for service evolution in clouds.
Conference Proceeding
Wang, Z., Liu, X. & Chalmers, K. (2011)
Evolution pattern for service evolution in clouds. In The 7th International Conference for Internet Technology and Secured Transactions (ICITST-2012)ISBN 978-1-908320-08-7
The proposed research will focus on
developing a novel approach to solve Software Service
Evolution problems in Computing Clouds. The
approach will support dynamic evolution o...