With great innovation in technology there is a huge data explosion. Real-time surveillance,
internet traffic, sensor data, health monitoring systems, communication networks, online …

Stream mining is a key research area in big data analytics, where mining operations are
applied on the input streamed data. There are numerous modern applications of it …

In resent years data stream mining plays an important role in real-time applications that
generate gigantic of data needed intelligent data processing and on-line data analysis. The …

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

In recent years, so-called data streams have attracted considerable attention in different
fields of computer science such as distributed systems, database systems, and data mining …

Abstract Data Stream Mining is one of the area gaining lot of practical significance and is
progressing at a brisk pace with new methods, methodologies and findings in various …

In the data stream model the data arrives at high speed so that the algorithms used for
mining the data streams must process them in a very strict constraints of space and time …

Today's era is one where data is present in abundance. The massive use of technologies
has given rise to what is called big data. For example, Facebook alone generates 4 PBs of …

In recent years, advances in hardware technology have facilitated new ways of collecting
data continuously. Tremendous and potentially infinite volumes of data streams are often …

ABSTRACT A data stream is a massive, continuous and rapid sequence of data elements.
Mining data streams raises new problems for the data mining community about how to mine …