Fast adaptive real-time classification for data streams with concept drift

An important application of Big Data Analytics is the real-time analysis of streaming data. Streaming data imposes unique challenges to data mining algorithms, such as concept drifts, the need to analyse the data on the fly due to unbounded data streams and scalable algorithms due to potentially high throughput of data. Real-time classification algorithms that are adaptive to concept drifts and fast exist, however, most approaches are not naturally parallel and are thus limited in their scalability. This paper presents work on the Micro-Cluster Nearest Neighbour (MC-NN) classifier. MC-NN is based on an adaptive statistical data summary based on Micro-Clusters. MC-NN is very fast and adaptive to concept drift whilst maintaining the parallel properties of the base KNN classifier. Also MC-NN is competitive compared with existing data stream classifiers in terms of accuracy and speed.

Argo real-time quality control intercomparison

The real-time quality control (RTQC) methods applied to Argo profiling float data by the United Kingdom (UK) Met Office, the United States (US) Fleet Numerical Meteorology and Oceanography Centre, the Australian Bureau of Meteorology and the Coriolis Centre are compared and contrasted. Data are taken from the period 2007 to 2011 inclusive and RTQC performance is assessed with respect to Argo delayed-mode quality control (DMQC). An intercomparison of RTQC techniques is performed using a common data set of profiles from 2010 and 2011. The RTQC systems are found to have similar power in identifying faulty Argo profiles but to vary widely in the number of good profiles incorrectly rejected. The efficacy of individual QC tests are inferred from the results of the intercomparison. Techniques to increase QC performance are discussed.

Detection of tobacco mosaic tobamovirus in cigarettes through RT-PCR

TMV was tried to recover from a variety of branded cigarettes and cigars. Tobacco from six different brands of cigarettes and cigar were processed and reverse transcriptase polymerase chain reaction was employed for the detection of TMV. RTPCR confirmed the presence of TMV in tobacco from one brand of cigarette and one brand of cigar. Bean plants (Phaseolus vulgaris) were inoculated manually with tobacco sap of cigarettes resulting in the production of localized disease lesions. Together, these results showed that tobacco used to make cigarettes and cigars can function as an effective disease vector, potentially aiding the movement of infectious TMV between countries. This is an important finding prompting a need to test smoking tobacco for other virus particles that infect tobacco plants and survive processing as well as considering biosecurity measures to limit virus transmission