In recent years, data stream has been considered as one of the primary sources of big data.
Data stream has grown very rapidly in the last decades. Data stream environment has many …

The processing of streaming data implies new requirements concerning restrictive
processing time, limited amount of memory and one scan of incoming instances. One of the …

Through real-world applications, the data stream is generated. In contrast to traditional data,
data streams have different characteristics; a huge and endless amount, on-line arriving with …

Mining data streams has recently been the subject of extensive research efforts. However,
most of the works conducted in this field assume a balanced class distribution underlying …

Organizations nowadays are producing huge size of data stream, whose velocity is extra-
ordinary, at a rapid speed. Mining data on stream data is a topic of great interest to the …

Abstract The concept of Data Stream has emerged as a result of the evolution of
technologies in different domains such as banking, e-commerce, social media, and many …

Due to the digital era, and recent development in software and hardware technology uses
enormous applications like e-commerce, mailing system, social media, fraud detection …

The data in streaming environment tends to be non-stationary. Hence, frequent and irregular
changes occur in data, which usually denotes as a concept drift related to the process of …

In many information system applications, the environment is dynamic and tremendous
amount of streaming data is generated. This scenario enforces additional computational …

Data stream mining is essential in various fields such as education, the Internet of Things
(IoT), social media, entertainment, weather monitoring, and finance. This is due to the …