Data Stream Classification Using Ant Colony Optimization
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 5
Abstract
Ant Colony Optimization is mostly used to find the short path to reach the destination for food source to their nest which helps to solve so many problem optimizations. It is based on the meta-heuristic function that should be presented in classification problems. The problem making more challenging when concept drift occurs when data totally change in different time and the major problems of data stream mining is infinite length, concept drift, concept evolution. Novel class detection in data stream classification is interesting research topic for concept drift problem here we compare different techniques for same. Most of the existing data stream classification techniques that work to assume that the feature space of the data points in the stream is static.
Authors and Affiliations
S. Rajesh Kumar, Dr. S. Murugappan
Keywords
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