Data stream mining has taken over as a new field of research during past few years. It has
gained lot of attention recently due to its challenging characteristics like dynamic nature …

Data Mining is a developing interdisciplinary control managing Data Reclamation and Data
Stream Mining techniques, whose subject is gathering, overseeing, processing, breaking …

Nowadays, many physical world appliances found data streams like telecommunication
system, multimedia data, medical data streams. Traditional data stream mining allows …

Data stream is a typical big data. Data stream can be founded in many real-life applications,
such as wireless sensor networks, power consumption, information security and financial …

Nowadays, with the advance of technology, many applications generate huge amounts of
data streams at very high speed. Examples include network traffic, web click streams, video …

Stream data is usually in vast volume, changing dynamically, possibly infinite, and
containing multi-dimensional features. The attention towards data stream mining is …

Today, rapid growth in hardware technology has provided a means to generate huge
volume of data continuously. Most of the real time data stream application such as network …

Abstract As Data Stream Mining is trending topic for Research nowadays and more users
increases day by day with online stuff, the size of big data is also getting larger. In traditional …

Data streams gained obvious attention by researches for years. Mining this type of data
generates challenges because of their special nature. Classification is one of the major …

The data are generated very rapidly from different information sources. These generation of
data is increasing day by day from various sources such as automated data collection tools …