Hello,
I am very new to analytics and knime, please forgive me if I am asking some basic questions.
I have data with 9 parameters from some vehicles. [Vin, timestamp, latitude, longitude, speed, etc] and over 20 million rows. (Vin is unique number for each vehicle)
My requirement is to build a model using this 20 million rows, so that when I give (speed, latitude and longitude) of a new vehicle - it should predict other parametrs and to which vehicle it becomes or atleast quoting the similarities with the vehicle data which we had previously.
Please help me how to implement this in KNIME. I appreciate your help.
Thank you