The Altair Community is migrating to a new platform to provide a better experience for you. In preparation for the migration, the Altair Community is on read-only mode from October 28 - November 6, 2024. Technical support via cases will continue to work as is. For any urgent requests from Students/Faculty members, please submit the form linked here
Timeseries-Datamining - What techniques are possible?
Contributor I
Hi there,
I´m currently doing an evaluation which Datamining Techniques currently can be applied to timeseries data (for example with rapidminer).
What applications are you aware of? Or using yourself?
I think prediction (regression) is a quite common application... But what else?
Do you have experiences with clustering, Classification or Rule Learning?
Just wondering what your thoughts are... I appreciate every comment, link, article, book, whatever :-)
Best Regards,
Roman
I´m currently doing an evaluation which Datamining Techniques currently can be applied to timeseries data (for example with rapidminer).
What applications are you aware of? Or using yourself?
I think prediction (regression) is a quite common application... But what else?
Do you have experiences with clustering, Classification or Rule Learning?
Just wondering what your thoughts are... I appreciate every comment, link, article, book, whatever :-)
Best Regards,
Roman
0
Answers
prediction, clustering and classification of time series is supported in RapdiMiner. Also outlier detection and most probably many other operations are no problem.
radone
Rapid Miner is probably the number one best free software which can do time series analysis.
Rapid miner uses the embedding framework which allows any learner (unsupervised or supervised) to be used for time series analysis.
Best regards,
Wessel