Quantcast
Viewing all articles
Browse latest Browse all 16689

Using WEKA to find a pattern from a set of data (how do I?)

Hi everybody,

I have a question which I hope somebody will be able to answer, but first a disclaimer. I am a complete neophyte to the world of WEKA and Data Mining, so any bit of information provided to me, no matter how small will help greatly. My problem is this: I have a sensor that outputs sensor data in a .csv file-format. I want to be able to have a calibration csv file that I base all of my trial data off of. As an example, the calibration file might contain sensor data from a professional golfer performing a golf swing. Now say that I equip said sensor and attempt to perform a golf swing. This will be my trial data. I want to compare the trial data (my golf swing) with the calibration data (the professional golf swing) to see how much the two data sets are off by(how accurate my swing is compared to the professional golf swing).

How would I go about doing this in WEKA (I would prefer to use the GUI) and how would I further segment my calibration and trial data to provide the same functionality as before (ie, how would I split up the golf swing data into multiple parts so that I can identify which parts of my swing I have the most trouble with).

Thank you in advance for taking the time to help,
~Brooks

Viewing all articles
Browse latest Browse all 16689

Trending Articles