DEMON: Mining and Monitoring Evolving Data (2000)
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by
Venkatesh Ganti
,
Johannes Gehrke
,
Raghu Ramakrishnan
| Venue: | IEEE Transactions on Knowledge and Data Engineering |
| Citations: | 49 - 1 self |
BibTeX
@INPROCEEDINGS{Ganti00demon:mining,
author = {Venkatesh Ganti and Johannes Gehrke and Raghu Ramakrishnan},
title = {DEMON: Mining and Monitoring Evolving Data},
booktitle = {IEEE Transactions on Knowledge and Data Engineering},
year = {2000},
pages = {439--448}
}
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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.
