International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 120 - Number 17 |
Year of Publication: 2015 |
Authors: Ketan Desale, Roshani Ade |
10.5120/21319-4324 |
Ketan Desale, Roshani Ade . Preprocessing of Streaming Data using Genetic Algorithm. International Journal of Computer Applications. 120, 17 ( June 2015), 16-19. DOI=10.5120/21319-4324
In today's world data is rapidly and continuously growing and is not constant in nature. There is a problem to deal with such kind of evolving data, as it is impractical to store and process this streaming data. Also, in real world application, the data which is coming is typically noisy, has some missing values, redundant features, and thus very large time is wasted to preprocess that data. The time complexity can reduce by selecting only useful features to build model for classification. The proposed system addresses the issue of adaptive preprocessing for streaming data. Here Genetic algorithm (GA) is used as a search method while selecting the features which will further use in learning model. The proposed system is applied to different stream datasets and is showing significant increment in classification accuracy.