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

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 Stream Mining is the process of extracting knowledge structures from continuous and
rapid data records arriving at high speed. Stream mining is one of the emerging fields of …

Dealing with memory and time constraints are current challenges when learning from data
streams with a massive amount of data. Many algorithms have been proposed to handle …

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

In this modern era of information technology, advances in storage, processing and
communication technologies have escalated the digitized organizations to record and …

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 …

The classification of data streams has become a significant and active research area. The
principal characteristics of data streams are a large amount of arrival data, the high speed …

Nowadays with a growing number of online controlling systems in the organization and also
a high demand of monitoring and stats facilities that uses data streams to log and control …

Dynamic data is referring to data that are being produced continuously and their volume can
potentially amount to infinity. They can be found in many daily applications such as e …