Dynamic Feature Set Based Classification Scheme Under Data Streams
Classification techniques are used to identify the class labels for the transactions. The classification operations are applied on the database transactions. Data streams are one of the major data source for many applications. The data values are collected from one or more sources. The data stream classification is a complex task. The classification model should perform the classification with time limits. The data arrival and class identification are the main functions of the scheme. Most existing data stream classification techniques ignore one important aspect of stream data with arrival of a novel class. A data stream classification technique is proposed to integrate a novel class detection mechanism into traditional classifiers.