bursts-package: Markov Model for Bursty Behavior in Streams

In bursts: Markov Model for Bursty Behavior in Streams

Markov Model for Bursty Behavior in Streams

Description

An implementation of Jon Kleinberg's burst detection algorithm. Uses an infinite Markov model to detect periods of increased activity in a series of discrete events with known times, and provides a simple visualization of the results.

Details

Package:	bursts
Type:	Package
Version:	1.0-2
Date:	2022-07-14
License:	MIT

The function kleinberg performs the analysis, returing a data frame containing a list of all of the ‘bursts’ and their intensities. The function plot.bursts can be used to display a simple visualization of the hierarchical burst structure.

Author(s)

Jeff Binder

Maintainer: Jeff Binder <[e-mail]>

References

Kleinberg, J. (2003). "Bursty and Hierarchical Structure in Streams." Data Mining and Knowledge Discovery 7: 373-397. <doi:10.1023/A:1024940629314>

http://www.cs.cornell.edu/home/kleinber/kdd02.html

bursts documentation built on July 20, 2022, 1:09 a.m.