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Themes : Information Society x People : Andrew Cumming x

People (1)

Andrew Cumming

Senior Lecturer
0131 455 2753
a.cumming@napier.ac.uk

Outputs (8)

SQL Hacks. Tips and tools for digging into your data.

Cumming, A., & Russell, G. (2007). SQL Hacks. Tips and tools for digging into your data. O'Reilly
<p>Cumming, A., & Russell, G. (2007). SQL Hacks. Tips and tools for digging into your data. O'Reilly</p>

...SQL Hacks reveals the secrets that database experts use to dig through their data and get the answers they need. It includes 100 hacks for sorting, sifting, shuffling, and ...

2007
Time-series Explorer: An Animated Information Visualisation for Microarray Time-course Data

Craig, P., Kennedy, J., & Cumming, A. (2005). Time-series Explorer: An Animated Information Visualisation for Microarray Time-course Data. BMC bioinformatics, 6, P8. doi:10.1186/1471-2105-6-S3-P8
<p>Craig, P., Kennedy, J., & Cumming, A. (2005). Time-series Explorer: An Animated Information Visualisation for Microarray Time-course Data. <i>BMC bioinformatics</i>, <i>6</i>, P8. doi:10.1186/1471-2105-6-S3-P8</p>

Microarray technologies are a relatively new development that allow biologists to monitor the activity of thousands of genes (normally around 8,000) in parallel across multipl...

2005
Animated interval scatter-plot views for the exploratory analysis of large scale microarray time-course data.

Craig, P., Kennedy, J., & Cumming, A. (2005). Animated interval scatter-plot views for the exploratory analysis of large scale microarray time-course data. Information Visualization, 4, 149-163. doi:10.1057/palgrave.ivs.9500101
<p>Craig, P., Kennedy, J., & Cumming, A. (2005). Animated interval scatter-plot views for the exploratory analysis of large scale microarray time-course data. <i>Information Visualization</i>, <i>4</i>, 149-163. doi:10.1057/palgrave.ivs.9500101</p>

Microarray technologies are a relatively new development that allow biologists to monitor the activity of thousands of genes (normally around 8,000) in parallel across multipl...

2005
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Projects (3)

Themes : Information Society x People : Andrew Cumming x

Andrew Cumming

Senior Lecturer
0131 455 2753
a.cumming@napier.ac.uk

Themes : Information Society x People : Andrew Cumming x

SQL Hacks. Tips and tools for digging into your data.

Cumming, A., & Russell, G. (2007). SQL Hacks. Tips and tools for digging into your data. O'Reilly
<p>Cumming, A., & Russell, G. (2007). SQL Hacks. Tips and tools for digging into your data. O'Reilly</p>

...SQL Hacks reveals the secrets that database experts use to dig through their data and get the answers they need. It includes 100 hacks for sorting, sifting, shuffling, and ...

2007
Time-series Explorer: An Animated Information Visualisation for Microarray Time-course Data

Craig, P., Kennedy, J., & Cumming, A. (2005). Time-series Explorer: An Animated Information Visualisation for Microarray Time-course Data. BMC bioinformatics, 6, P8. doi:10.1186/1471-2105-6-S3-P8
<p>Craig, P., Kennedy, J., & Cumming, A. (2005). Time-series Explorer: An Animated Information Visualisation for Microarray Time-course Data. <i>BMC bioinformatics</i>, <i>6</i>, P8. doi:10.1186/1471-2105-6-S3-P8</p>

Microarray technologies are a relatively new development that allow biologists to monitor the activity of thousands of genes (normally around 8,000) in parallel across multipl...

2005
Animated interval scatter-plot views for the exploratory analysis of large scale microarray time-course data.

Craig, P., Kennedy, J., & Cumming, A. (2005). Animated interval scatter-plot views for the exploratory analysis of large scale microarray time-course data. Information Visualization, 4, 149-163. doi:10.1057/palgrave.ivs.9500101
<p>Craig, P., Kennedy, J., & Cumming, A. (2005). Animated interval scatter-plot views for the exploratory analysis of large scale microarray time-course data. <i>Information Visualization</i>, <i>4</i>, 149-163. doi:10.1057/palgrave.ivs.9500101</p>

Microarray technologies are a relatively new development that allow biologists to monitor the activity of thousands of genes (normally around 8,000) in parallel across multipl...

2005
Poxels: polygonal voxel environment rendering

Miller, M., Cumming, A., Chalmers, K., Kenwright, B., & Mitchell, K. (2013). Poxels: polygonal voxel environment rendering. In Proceedings of the 20th ACM Symposium on Virtual Reality Software and Technology - VRST '14, 235-236. doi:10.1145/2671015.2671125
<p>Miller, M., Cumming, A., Chalmers, K., Kenwright, B., & Mitchell, K. (2013). Poxels: polygonal voxel environment rendering. In <i>Proceedings of the 20th ACM Symposium on Virtual Reality Software and Technology - VRST '14</i>, 235-236. doi:10.1145/2671015.2671125</p>

We present efficient rendering of opaque, sparse, voxel environments with data amplified in local graphics memory with stream-out from a geomery shader to a cached vertex buff...

2014
Coordinated parallel views for the exploratory analysis of microarray time-course data.

Craig, P., Kennedy, J., & Cumming, A. (2005). Coordinated parallel views for the exploratory analysis of microarray time-course data. doi:10.1109/CMV.2005.5
<p>Craig, P., Kennedy, J., & Cumming, A. (2005). Coordinated parallel views for the exploratory analysis of microarray time-course data. doi:10.1109/CMV.2005.5</p>

Microarray time-course data relate to the recorded activity of thousands of genes, in parallel, over multiple discrete points in time during a biological process. Existing tec...

2005
Towards visualising temporal features in large scale microarray time-series data.

Craig, P., Kennedy, J., & Cumming, A. (2002). Towards visualising temporal features in large scale microarray time-series data. doi:10.1109/IV.2002.1028809
<p>Craig, P., Kennedy, J., & Cumming, A. (2002). Towards visualising temporal features in large scale microarray time-series data. doi:10.1109/IV.2002.1028809</p>

Current techniques for visualising large-scale microarray data are unable to present temporal features without reducing the number of elements being displayed. This paper intr...

2002
Multiple traffic signal control using a genetic algorithm

Kalganova, T., Russell, G., & Cumming, A. (1998). Multiple traffic signal control using a genetic algorithm. In A. Dobnikar, N. C. Steele, D. W. Pearson, & R. F. Albrecht (Eds.), Artificial Neural Nets and Genetic Algorithms, 220-228. doi:10.1007/978-3-7091-6384-9_38
<p>Kalganova, T., Russell, G., & Cumming, A. (1998). Multiple traffic signal control using a genetic algorithm. In A. Dobnikar, N. C. Steele, D. W. Pearson, & R. F. Albrecht (Eds.), <i>Artificial Neural Nets and Genetic Algorithms</i>, 220-228. doi:10.1007/978-3-7091-6384-9_38</p>

Optimising traffic signal timings for a multiple-junction road network is a difficult but important problem. The essential difficulty of this problem is that the traffic signa...

1999
Student behaviour in a flexible learning course framework.

Russell, G. & Cumming, A. (2010). Student behaviour in a flexible learning course framework. In Proceedings of the IADIS International Conference on e-Learning, 181-188. ISBN 978-972-8939-38-0
<p>Russell, G. & Cumming, A. (2010). Student behaviour in a flexible learning course framework. In <i>Proceedings of the IADIS International Conference on e-Learning</i>, 181-188. ISBN 978-972-8939-38-0</p>

Flexible learning approaches to education are important in modern Universities. Students should be able to choose how they will study their courses, and educators should be pr...

Themes : Information Society x People : Andrew Cumming x

Themes : Information Society x People : Andrew Cumming x

Themes : Information Society x People : Andrew Cumming x

Themes : Information Society x People : Andrew Cumming x

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