A Survey: Approaches for Handling Evolving Data Streams

Abstract

The increasing use of technology in diverse field has caused generation of huge volumes of information streams. Data streams contains bulk of data points generated at high speed continuously from various applications like log records, web clicks etc. With recent advancement in technology need for analysis of such unbounded streams is increasing day by day. Data mining process helps to excavate useful knowledge from rapidly generated raw data streams. In context with the continuously generated data, mining data streams is emerging challenging task in which several issues like limited space, limited time, accuracy, handling evolving data need to be considered. This paper provides an overview of various approaches for handling changing and evolving data streams.