Optimization of Data Streaming Inputs Using Miner Algorithms

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Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Data Management
Format: PDF
It focuses on quality improvement on join. It takes shorter time for joining two or more fields and performance comparison between traditional and recent techniques. Also, evaluate the performance of diner as well as miner. Adaptive join algorithms have recently attracted a lot of attention in emerging applications where data is provided by autonomous data sources through heterogeneous network environments. In traditional join techniques, they can start producing join results as soon as the first input tuples are available, thus improving pipelining by smoothing join result production and by masking source or network delays.
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