Data stream mining

M. Gaber, A. Zaslavsky, S. Krishnaswamy

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review


Data mining is concerned with the process of computationally extracting hidden knowledge structures represented in models and patterns from large data repositories. It is an interdisciplinary field of study that has its roots in databases, statistics, machine learning, and data visualization. Data mining has emerged as a direct outcome of the data explosion that resulted from the success in database and data warehousing technologies over the past two decades (Fayyad, 1997,Fayyad, 1998,Kantardzic, 2003).
Original languageEnglish
Title of host publicationData mining and knowledge discovery handbook
EditorsO. Maimon, L. Rokach
Number of pages29
ISBN (Print)9780387098227
Publication statusPublished - 2010


Dive into the research topics of 'Data stream mining'. Together they form a unique fingerprint.

Cite this