Computing and Information Systems - Research Publications
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ItemA voting approach to identify a small number of highly predictive genes using multiple classifiers(BMC, 2009-01-30)BACKGROUND: Microarray gene expression profiling has provided extensive datasets that can describe characteristics of cancer patients. An important challenge for this type of data is the discovery of gene sets which can be used as the basis of developing a clinical predictor for cancer. It is desirable that such gene sets be compact, give accurate predictions across many classifiers, be biologically relevant and have good biological process coverage. RESULTS: By using a new type of multiple classifier voting approach, we have identified gene sets that can predict breast cancer prognosis accurately, for a range of classification algorithms. Unlike a wrapper approach, our method is not specialised towards a single classification technique. Experimental analysis demonstrates higher prediction accuracies for our sets of genes compared to previous work in the area. Moreover, our sets of genes are generally more compact than those previously proposed. Taking a biological viewpoint, from the literature, most of the genes in our sets are known to be strongly related to cancer. CONCLUSION: We show that it is possible to obtain superior classification accuracy with our approach and obtain a compact gene set that is also biologically relevant and has good coverage of different biological processes.
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ItemAnalysis and Enhancement of On-demand Routing in Wireless Sensor Networks(ASSOC COMPUTING MACHINERY, 2008)
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ItemProactive Traffic Merging Strategies for Sensor-Enabled Cars(IGI Global, 2009)Congestion is a major challenge in today’s road traffic. The primary cause is bottlenecks such as ramps leading onto highways, or lane blockage due to obstacles. In these situations, the road capacity reduces because several traffic streams merge to fewer streams. Another important factor is the non-coordinated driving behavior resulting from the lack of information or the intention to minimize the travel time of a single car. This chapter surveys traffic control strategies for optimizing traffic flow on highways, with a focus on more adaptive and flexible strategies facilitated by current advancements in sensor-enabled cars and vehicular ad hoc networks (VANETs). The authors investigate proactive merging strategies assuming that sensor-enabled cars can detect the distance to neighboring cars and communicate their velocity and acceleration among each other. Proactive merging strategies can significantly improve traffic flow by increasing it up to 100% and reduce the overall travel delay by 30%.
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ItemRoleVAT: Visual Assessment of Practical Need for Role Based Access Control(IEEE COMPUTER SOC, 2009)
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ItemThe Sensitivity of Latent Dirichlet Allocation for Information Retrieval(SPRINGER-VERLAG BERLIN, 2009)
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ItemContinuous intersection joins over moving objects(IEEE, 2008)
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ItemWorkflow Scheduling Algorithms for Grid Computing(SPRINGER-VERLAG BERLIN, 2008)
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ItemProtecting SIP Server from CPU-Based DoS Attacks using History-Based IP Filtering(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2009-10)