SELFIS (SELF-similarity analysIS) is a java-based software tool for self-similarity and
long-range dependence analysis.
It is freely distributed as a service to the community. For more information please refer to
the corresponding papers and read the short tutorial of SELFIS.
Currently, it incorporates various long-range dependence estimation methodologies
and the bucket shuffling methodology for long-range dependence detection.
Future releases will include time-series processing algorithms
and transforms, such as wavelets, Fourier transform, stationarity tests and smoothing algorithms.
In addition, the next release will include FGN and FARIMA processes generators to
simulate long-range dependence in time-series.
Note that this is still an early BETA release. Please inform us of any bugs that we missed at email@example.com.
If you publish any material using the SELFIS tool, then please send the citation information for your article to firstname.lastname@example.org.
Please use the following references for the SELFIS tool:
Thomas Karagiannis, Michalis Faloutsos, Mart Molle. A User-Friendly Self-Similarity Analysis Tool.
Special Section on Tools and Technologies for Networking Research and Education, ACM SIGCOMM Computer Communication Review, 2003(to appear).
Thomas Karagiannis, Michalis Faloutsos. SELFIS: A Tool For Self-Similarity and Long-Range Dependence Analysis.
1st Workshop on Fractals and Self-Similarity in Data Mining: Issues and Approaches (in KDD)
Edmonton, Canada, July 23, 2002.
You will need the Java Runtime Environment (JRE) version 1.4.1 or higher.
You can download JRE from http://java.sun.com/j2se/1.4.1/download.html.
Please complete the form below before downloading SELFIS.