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Hancock: a language for extracting signatures from data streams
Abstract
Article Hancock: a language for extracting signatures from data streams Share on Authors: Corinna Cortes AT&T Labs-Research, Shannon Laboratory, 180 Park Avenue, Florham Park, NJ AT&T Labs-Research, Shannon Laboratory, 180 Park Avenue, Florham Park, NJView Profile , Kathleen Fisher AT&T Labs-Research, Shannon Laboratory, 180 Park Avenue, Florham Park, NJ AT&T Labs-Research, Shannon Laboratory, 180 Park Avenue, Florham Park, NJView Profile , Daryl Pregibon AT&T Labs-Research, Shannon Laboratory, 180 Park Avenue, Florham Park, NJ AT&T Labs-Research, Shannon Laboratory, 180 Park Avenue, Florham Park, NJView Profile , Anne Rogers AT&T Labs-Research, Shannon Laboratory, 180 Park Avenue, Florham Park, NJ AT&T Labs-Research, Shannon Laboratory, 180 Park Avenue, Florham Park, NJView Profile Authors Info & Claims KDD '00: Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data miningAugust 2000 Pages 9–17https://doi.org/10.1145/347090.347094Online:01 August 2000Publication History 102citation888DownloadsMetricsTotal Citations102Total Downloads888Last 12 Months4Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
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Cited by
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Akoglu, L., Tong, H., & Koutra, D. (2015) · Data Mining and Knowledge Discovery · doi:10.1007/s10618-014-0365-y · Cited by 1,504
Maintaining Stream Statistics over Sliding Windows
Datar, M., Gionis, A., Indyk, P., & Motwani, R. (2002) · SIAM Journal on Computing · doi:10.1137/s0097539701398363 · Cited by 835
Thomaz, F., Salge, C., Karahanna, E., & Hulland, J. (2020) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-019-00704-3 · Cited by 204
“Signatures are the data structures used to capture the evolving behavior learned from large streams of simple transactions (Cortes et al., 2000).”
Background
Metadata
- Authors
- Cortes, C., Fisher, K., Pregibon, D., & Rogers, A.
- Venue
- Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
- Publisher
- ACM
- Published
- 2000-08
- Pages
- 9-17
- OpenAlex
- W1991962718
- Cited by
- 179
- References
- 0
- FWCI
- 10.32
- Type
- conference paper
- Language
- en
- Open access
- closed
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- The paper
- Cortes, C., Fisher, K., Pregibon, D., & Rogers, A. (2000). Hancock: a language for extracting signatures from data streams. Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining. https://doi.org/10.1145/347090.347094
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