C-DenStream: Using Domain Knowledge on a Data Stream. Ruiz, C., Menasalvas, E., & Spiliopoulou, M. In Gama, J., Costa, V. S., Jorge, A. M., & Brazdil, P. B., editors, Discovery Science, of Lecture Notes in Computer Science, pages 287–301, Berlin, Heidelberg, 2009. Springer. doi abstract bibtex Stream clustering algorithms are traditionally designed to process streams efficiently and to adapt to the evolution of the underlying population. This is done without assuming any prior knowledge about the data. However, in many cases, a certain amount of domain or background knowledge is available, and instead of simply using it for the external validation of the clustering results, this knowledge can be used to guide the clustering process. In non-stream data, domain knowledge is exploited in the context of semi-supervised clustering.
@inproceedings{ruiz_c-denstream_2009,
address = {Berlin, Heidelberg},
series = {Lecture {Notes} in {Computer} {Science}},
title = {C-{DenStream}: {Using} {Domain} {Knowledge} on a {Data} {Stream}},
isbn = {978-3-642-04747-3},
shorttitle = {C-{DenStream}},
doi = {10.1007/978-3-642-04747-3_23},
abstract = {Stream clustering algorithms are traditionally designed to process streams efficiently and to adapt to the evolution of the underlying population. This is done without assuming any prior knowledge about the data. However, in many cases, a certain amount of domain or background knowledge is available, and instead of simply using it for the external validation of the clustering results, this knowledge can be used to guide the clustering process. In non-stream data, domain knowledge is exploited in the context of semi-supervised clustering.},
language = {en},
booktitle = {Discovery {Science}},
publisher = {Springer},
author = {Ruiz, Carlos and Menasalvas, Ernestina and Spiliopoulou, Myra},
editor = {Gama, João and Costa, Vítor Santos and Jorge, Alípio Mário and Brazdil, Pavel B.},
year = {2009},
keywords = {Data Stream, Domain Knowledge, Rand Index, Synthetic Dataset, Time Stamp},
pages = {287--301},
}
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