This module provided an overview of a handful of other commonly used data mining techniques. "nodi .Comireid vimobast ed no li) Consider a problem from your current or a past job, a hobby, or an interest that would make for a good application of one of the following techniques: tongo Ishom ard robar soil Text-based data mining IMid doinw) erestol mobaur gruen agent Co-occurrence grouping and associations () gailsood guien esout to . Profiling . Link prediction bon lo nodrum) leborn sloss not boldens enough lustob ent srookie DoY Describe why this would be an appropriate example of a problem that can be solved with one of the methods above and what the use of the results of this analysis would be. sler wod If no mustmoo bits fobom dose to sonarmotion on Please do not choose a hypothetical example like something from the textbook or an example from the slides, it should be something with which you have personal experience (yes, this problem is like problem 2 from problem set 2)