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Analyzing Continuous Data Streams Using Improved Stratified Sampling and Ensemble Classification
2018
International Journal of Intelligent Engineering and Systems
The streaming data technologies play a vital role in real-time applications. To analyze the data, Random sampling with replacement has a problem in drawing inferences from the small random sample, while sampling without replacement is not preferable to sub-streams that correspond to different sources. Hence, to effectively mine the data streams from heterogeneous sources, this work proposes Adaptive Reservoir sampling Of stream In a Time window (AdROIT) which partitions the streams in a window
doi:10.22266/ijies2018.1031.20
fatcat:nuujuah5qfgfpkizl5zxoggseu