Framework of Hybrid Classification Model as Smart Agent in Distributed Systems for Network Monitoring

Download Now
Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Networking
Format: PDF
In this paper, the authors compare SVM (Support Vector Machine) classification algorithm and neural networks classification algorithms identify the pitfalls and propose a new hybrid classification algorithm which is reliable, fast, efficient and robust handling large data sets. A new version of support vector machine algorithm is designed and developed in the study which is used for training the dataset followed by testing using neural networks classification algorithm. Generally most of the classification algorithms are working well for small and moderate data, while going for large datasets, the efficiency drops, this paper analyses all these factors and proposing a new hybrid model, which solves all these drawbacks.
Download Now

Find By Topic