zaranaben Gajjar - Academia.edu (original) (raw)
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Rajeev Gandhi Memorial College of Engineering & Technology, Nandyal
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In recent years, advances in hardware technology have facilitated new ways of collecting data con... more In recent years, advances in hardware technology have facilitated new ways of collecting data continuously. Tremendous and potentially infinite volumes of data streams are often generated by real time systems, internet traffic, financial market, communication network, remote sensors, and other environments. Analyzing huge data sets and extracting valuable pattern in many applications are interesting for researchers. We identify two techniques for huge data bases mining. One is to streaming data and apply mining techniques whereas second is to solve this problem directly with competent algorithms. The main problem in data stream mining means growing data is more difficult to detect in this techniques therefore unsupervised methods should be applied. However, clustering techniques can indication us to determine hidden information.
In recent years, advances in hardware technology have facilitated new ways of collecting data con... more In recent years, advances in hardware technology have facilitated new ways of collecting data continuously. Tremendous and potentially infinite volumes of data streams are often generated by real time systems, internet traffic, financial market, communication network, remote sensors, and other environments. Analyzing huge data sets and extracting valuable pattern in many applications are interesting for researchers. We identify two techniques for huge data bases mining. One is to streaming data and apply mining techniques whereas second is to solve this problem directly with competent algorithms. The main problem in data stream mining means growing data is more difficult to detect in this techniques therefore unsupervised methods should be applied. However, clustering techniques can indication us to determine hidden information.