(Enter summary)
Abstract: Data mining algorithms have been the focus of much research
recently. In practice, the input data to a data mining
process resides in a large data warehouse whose data is
kept up-to-date through periodic or occasional addition and
deletion of blocks of data. Most data mining algorithms have
either assumed that the input data is static, or have been designed
for arbitrary insertions and deletions of data records.
In this paper, we consider a dynamic environment that
evolves through systematic... (Update)
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BibTeX entry: (Update)
Venkatesh Ganti, Johannes Gehrke, Raghu Ramakrishnan. "DEMON: Mining and Monitoring Evolving Data.", in ICDE 2000: 439-448, San Diego, CA. http://citeseer.ist.psu.edu/ganti00demon.html More
@article{ ganti01demon,
author = "Venkatesh Ganti and Johannes Gehrke and Raghu Ramakrishnan",
title = "{DEMON}: Mining and Monitoring Evolving Data",
journal = "Knowledge and Data Engineering",
volume = "13",
number = "1",
pages = "50-63",
year = "2001",
url = "citeseer.ist.psu.edu/ganti00demon.html" }
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