stream: Infrastructure for Data Stream Mining

A framework for data stream modeling and associated data mining tasks such as clustering and classification. The development of this package was supported in part by NSF IIS-0948893, NSF CMMI 1728612, and NIH R21HG005912. Hahsler et al (2017) doi:10.18637/jss.v076.i14 .

Key Classes

• DSD Data stream data and DSF data stream filter to transform data streams in flight.

• DST Data stream mining tasks:

  • DSAggregate Data stream aggregator

  • DSC Data stream clustering

  • DSClassifier Data stream classifiers

  • DSOutlier Data stream outlier detectors

  • DSRegressor Data stream regressors

See also

Useful links:

• https://github.com/mhahsler/stream

• https://michael.hahsler.net/stream/

• Report bugs at https://github.com/mhahsler/stream/issues

Author

Maintainer: Michael Hahsler mhahsler@lyle.smu.edu (ORCID) [copyright holder]

Authors:

• Michael Hahsler mhahsler@lyle.smu.edu (ORCID) [copyright holder]

Other contributors:

• Matthew Bolaños [contributor]

• John Forrest [contributor]

• Matthias Carnein [contributor]

• Dennis Assenmacher [contributor]

• Dalibor Krleža [contributor]