Data stream mining
Research output: Chapter in Book/Report/Conference proceeding › Chapter (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).
|Title of host publication||Data mining and knowledge discovery handbook|
|Editors||O. Maimon, L. Rokach|
|Number of pages||29|
|Publication status||Published - 2010|