Multi-threaded Implementation of Association Rule Mining with Visualization of the Pattern Tree

Motor Vehicle fatalities per 100,000 population in the United States has been reported to be 10.69% in the year 2012 as per NHTSA (National Highway Traffic Safety Administration). The fatality rate has increased by 0.27% in 2012 compared to the rate in the year 2011. As per the reports, there are many factors involved in increasing the fatality rate drastically such as driving under influence, testing while driving, and various other weather phenomena. Decision makers need to analyze the factors attributing to the increase in an accident rate to take implied measures. Current methods used to perform the data analysis process has to be reformed and optimized to make policies for controlling the high traffic accident rates. This research work is an extension to the data-mining algorithm implementation Most Associated Sequential Pattern (MASP). MASP uses association rule mining approach to mine interesting traffic accident data using a modified version of FP-growth algorithm. Owing to the huge amounts of available traffic accident data, MASP algorithm needs to be further modified to make it more efficient with respect to both space and time. Therefore, we present a parallel implementation to the MASP algorithm. In addition to this, pattern tree and apriori-tid algorithm implementation has been done. The application is designed in C# using .NET Framework and C# Task Parallel Library

Metabolic effects of pesticide effluents on Nicotiana tabacum and Vigna radiata plants

Some important metabolic parameters were investigated in relation to various doses of pesticide effluents in two economically plants viz. Nicotiana and Vigna plants. Increasing doses of pesticide effluents caused decrease in both sugar and protein concentration almost similarly in both plants. However, activities of enzymes, catalase, peroxidase and MDA content were found to be stimulated by higher doses of pesticide factory effluents in both the plants. Protein and sugar content decreased at all doses in Nicotiana tabacum however there were increase in enzymatic activity like catalase and peroxidase. MDA content was also increased in same plant. On the other hand Vigna radiata showed inducing nature of protein content at lower concentration (25%) and thereafter inhibit at all doses while sugar content decreased at all concentrations. Enzymatic activity viz. catalase and peroxidase showed promoting nature at all concentrations. MDA content also increased at all concentrations. Thus it can be concluded that but for small differences in almost all the metabolic parameters towards their response towards pesticide industry effluent both the studied plants i.e. Nicotiana and Vigna were found to be quite susceptible towards pesticide effluents. DOI: http://dx.doi.org/10.3126/ije.v4i2.12628 International Journal of Environment Vol.4(2) 2015: 87-94</jats:p

Influence of pesticide effluent on Allium cepa L. (onion) plants

An investigation was made to find out the effect of different doses (25, 50, 75 and 100%) of pesticide effluents (Indian Pesticide Ltd) on plant growth and certain metabolic parameters (height, total chlorophyll, carotenoid, protein and sugar contents, MDA content, catalase and peroxidase activity ) in Allium cepa L. plants. Plant growth in terms of its height, total chlorophyll, carotenoid, protein and sugar contents were found to be decreased at increasing doses of pesticide effluents. However, other activities of two antioxidative iron viz. catalase and peroxidase also the MDA (Malondialdehyde) content were found to be progressively stimulated at increasing doses of the effluent. DOI: http://dx.doi.org/10.3126/ije.v4i2.12629 International Journal of Environment Vol.4(2) 2015: 95-105</p