Online Clustering Of Multiple Data Streams
In this paper, the authors present an online clustering of data stream algorithm which can be used for on-line summarization of multiple data stream over fixed time length. A data stream is a large and continuously increasing sequence of data collected from various data generating applications or equipments. Applications which requires processing of huge amounts of data such as sensor data analysis and financial applications, data stream mining plays very important role. For such analysis, single-pass algorithms that require a very less amount of memory are needed.