ABSTRACT Stream Data Mining is a new emerging topic in the field of research. Today,
there are number of application that generate Massive amount of stream data. Examples of …

Accepted: 20/Nov/2018, Published: 30/Nov/2018 Abstarct: In the today's world, the data is
much important and it is growing rapidly. It requires some intelligent analysis processing that …

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

Data stream mining, as its name suggests, is connected with two basic fields of computer
science, ie data mining and data streams. Data mining [1–4] is an interdisciplinary subfield …

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 …

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

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

A growing number of applications that generate massive streams of data need intelligent
data processing and online analysis. Real-time surveillance systems, telecommunication …

Data stream mining, as its name suggests, is connected with two basic fields of computer
science, ie data mining and data streams. Data mining [1–4] is an interdisciplinary subfield …

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 …