Conceptual base class for all data stream mining tasks. Current tasks are data
stream clustering DSC, outlier detection DSOutlier, classification on data streams
DSClassify and frequent pattern mining on data streams DSFP.

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 and NIH R21HG005912. Hahsler et al (2017) <doi:10.18637/jss.v076.i14>.

Michael Hahsler

stream

Infrastructure for Data Stream Mining

Matthew Bolanos

John Forrest

Matthias Carnein

Dennis Assenmacher

Dalibor Krleža

DST function

<dl><dt>...</dt>
<dd>Further arguments.</dd></dl>

Arguments

Author

Conceptual Base Class for All Data Stream Mining Tasks — DST

<dl>

<dt>...</dt>
<dd>Further arguments.</dd>

</dl>

DST: Conceptual Base Class for All Data Stream Mining Tasks

Description

Usage

Arguments

Author

Examples