The Study on Decision Trees in Data Stream Mining

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Provided by: AICIT
Topic: Big Data
Format: PDF
In the advent of intelligent online applications, data repository is growing in exponential rate and the demand for real-time decision making has ever increased. Data Stream Mining (DSM) is claimed to be the successor of traditional data mining where it is capable of mining continuous incoming data streams in real-time with an acceptable performance. Data stream mining may meet the challenges of processing high-volume, real-time data with careful configurations of the mining parameters. Now-a-days, many computer applications evolved to online and on-demand basis, fresh data are feeding in at high speeds.
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