People often throw around the terms IR, ML, and data mining, but I have noticed a lot of overlap between them.
From people with experience in these fields, what exac
You can also add pattern recognition and (computational?) statistics as another couple of areas that overlap with the three you mentioned.
I'd say there is no well-defined line between them. What separates them is their history and their emphases. Statistics emphasizes mathematical rigor, data mining emphasizes scaling to large datasets, ML is somewhere in between.