Titlebook: Smart Trends in Computing and Communications; Proceedings of Smart Yu-Dong Zhang,Jyotsna Kumar Mandal,Nileshsingh V. Conference proceeding

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Road Travel Time Prediction Method Based on Random Forest Model,vent and reduce traffic congestion. At the same time, it can help to make an optimal travel plan for the traveler based on the dynamic traffic information. Consequently, the utilization efficiency of the load can be improved. RF-DBSCAN, a prediction model based on the random forest (RF) and DBSCAN (

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,Research of Institutional Technology Diffusion Rules Based on Patent Citation Network—A Case Study nstitutions still need to further improve their technical strength. In the technology diffusion network, there are three types of institutions according to the citation relationship: technology-output, technology-input and technology-comprehensive. However, it is found that the two indicators of TDB and TDI of most institutions are relatively low.

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Bravura

Comparative Analysis of Data Mining Classification Techniques for Prediction of Heart Disease Usingools and comparison of results is done on the basis of sensitivity, specificity, precision, and accuracy. Naive Bayes classifier achieved the highest accuracy of 85.39% in the Weka tool, and in the SPSS Modeler tool, SVM classifier achieved the highest accuracy at 85.87%.

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An Automated Framework to Uncover Malicious Traffic for University Campus Network,ramework automatically blocks the attack as per the severity threat for further propagation in the future, over the network. This helps to secure and increase the performance of the campus networks using open source libraries and reduces the financial burdens due to commercial threat detection and prevention systems.

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