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The explosion of information from various social networking sites, Web clickstream, information retrieval, customers’ records, users’ reviews, business transactions, network event logs, etc. Results in generating a continuous deluge of data at different rates, called streaming data. Organizing, indexing, analyzing, or mining hidden knowledge from such a data deluge becomes a critical functionality for a broad range of content analysis tasks that includes emerging topic detection, interesting content identification, user interest profiling, and real-time Web search. But managing such ‘Big Data’ becomes even more challenging when streaming data is taken for analyzing and producing results in real time. The streaming data may include numeric, categorical, or mixed value. Most of the current research has been done on numeric data streams by exploiting the statistical properties of the numeric data. But now …