If you are looking for the Java code implementing algorithms such as

• Z normalization of timeseries
• Piecewise Aggregate Approximation (PAA) of timeseries
• Symbolic Aggregate Approximation (SAX) of timeseries

• iSAX Java implementation
• Motifs (recurring patterns) detection with SAX
• Discords (unique patterns) detection with SAX

in Java and R this page might be a place to get it.

Please note, that you will need a development version of WEKA which is 3-7-3 to run examples

I have started working on this library while doing research on the datamining of the software development activity for the HackyStat project, specifically Hackystat Trajectory analysis module.

Current implementation of the SAX and PAA follows the work by Eamonn Keogh and Jessica Lin published at SAX homepage @ UCR.

I am planning to spend some time working on longest common subsequence (LCSS) problem and edit distance (ED) implementation.