Deletion is easy if you're using ML based on feature vectors to extract "trends", because you can just add one of the opposite vector and the system is still purely "additive" at scale.
Not if you're using probabilistic data structures like Count-Min[0]. You don't care about the exact count. You just want an estimate with a certain probability. Such structures only support addition, not removal.
