Suggested techniques for clustering and mining of data streams

The buzz word in research is Big Data. Big Data gets characterized by 5 V's: Volume, Velocity, Variety, Veracity and Value of data. Volume in order of penta bytes, velocity which refers to click stream data in various domains, variety comprising of heterogeneous data, veracity indicating the cleanliness of data and value emphasizing on the return on investment for companies who invest in Big Data technologies. This Big Data is better modeled not as persistent tables but in the form of transient data streams which need different clustering and mining techniques to be effectively processed and managed. In this paper some suggestions on online learning through clustering and mining of stream data are presented.