You are here

Historical Interest Only

This is a static HTML version of an old Drupal site. The site is no longer maintained and could be deleted at any point. It is only here for historical interest.

Publications

Export 674 results:

Filters: Author is Chee Sun Liew [Clear All Filters]

2013

C. S. Liew, Krause, A., and Snelling, D., “DISPEL Enactment”, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M. Atkinson, Baxter, R., Brezany, P., Corcho, O., Galea, M., Parsons, M., Snelling, D., and van Hemert, J., Eds. John Wiley & Sons Inc., 2013, pp. 251-273.

2012

M. P. Atkinson, Liew, C. S., Galea, M., Martin, P., Krause, A., Mouat, A., Corcho, O., and Snelling, D., “Data-Intensive Architecture for Scientific Knowledge Discovery”, Distributed and Parallel Databases, vol. 30, no. 5, pp. 307-324, 2012.

C. S. Liew, Optimisation of the enactment of fine-grained distributed data-intensive workflows. Edinburgh: The University of Edinburgh, 2012.

2011

L. Han, Liew, C. S., van Hemert, J., and Atkinson, M., “A Generic Parallel Processing Model for Facilitating Data Mining and Integration”, Parallel Computing, vol. 37, no. 3, pp. 157 - 171, 2011.

C. S. Liew, Atkinson, M. P., Ostrowski, R., Cole, M., van Hemert, J. I., and Han, L., “Performance database: capturing data for optimizing distributed streaming workflows”, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 369, no. 1949, pp. 3268-3284, 2011.

2010

C. S. Liew, Atkinson, M. P., van Hemert, J., and Han, L., “Towards Optimising Distributed Data Streaming Graphs using Parallel Streams”, in Data Intensive Distributed Computing (DIDC'10), in conjunction with the 19th International Symposium on High Performance Distributed Computing, Chicago, Illinois, 2010, pp. 725-736.

2009

M. P. Atkinson, van Hemert, J., Han, L., Hume, A., and Liew, C. S., “A Distributed Architecture for Data Mining and Integration”, in Data-Aware Distributed Computing (DADC'09), in conjunction with the 18th International Symposium on High Performance Distributed Computing, 2009, pp. 11-20.