A Decision Support System Using Combined-Classifier For High-Speed Data Stream In Smart Grid
Enterprise Information Systems(2016)
摘要
Large volume of high-speed streaming data is generated by big power grids continuously. In order to detect and avoid power grid failure, decision support systems (DSSs) are commonly adopted in power grid enterprises. Among all the decision-making algorithms, incremental decision tree is the most widely used one. In this paper, we propose a combined classifier that is a composite of a cache-based classifier (CBC) and a main tree classifier (MTC). We integrate this classifier into a stream processing engine on top of the DSS such that high-speed steaming data can be transformed into operational intelligence efficiently. Experimental results show that our proposed classifier can return more accurate answers than other existing ones.
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关键词
Data mining,distributed artificial intelligence (DAI),enterprise applications,enterprise information systems (EIS),enterprise computing systems
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