R/Java integrated code to represent skewed time series (SAX)
- or -
Post a project like this2096
$$
- Posted:
- Proposals: 3
- Remote
- #2059539
- Awarded
Description
Experience Level: Intermediate
I looking for a person that is familiar with r and java with some statistical knowledge for a short job. I am looking to represent non-normal time series data symbolically using the Symbolic Aggregate Approximation (SAX) method (https://jmotif.github.io/sax-vsm_site/morea/algorithm/SAX.html). The java code already exists that allocates breakpoints and symbols based on the assumption of normality (https://github.com/jMotif/SAX). This project would need to identify which probability distribution the time series data follows most closely. There is an existing R package to do this (fitdistplus attached). Once the closest distribution is identified, breakpoints would be allocated accordingly by amending the java code from the github link above. Java would be called from R using rJava :(https://darrenjw.wordpress.com/2011/01/01/calling-java-code-from-r/)
The resulting SAX string would be returned to R for further processing.
The resulting SAX string would be returned to R for further processing.
Will F.
100% (2)Projects Completed
2
Freelancers worked with
2
Projects awarded
33%
Last project
3 Jun 2021
Ireland
New Proposal
Login to your account and send a proposal now to get this project.
Log inClarification Board Ask a Question
-
Hello. Is this task still available?
666946
We collect cookies to enable the proper functioning and security of our website, and to enhance your experience. By clicking on 'Accept All Cookies', you consent to the use of these cookies. You can change your 'Cookies Settings' at any time. For more information, please read ourCookie Policy
Cookie Settings
Accept All Cookies