Intention mining

In data mining, intention mining or intent mining is the problem of determining a user's intention from logs of their behavior in interaction with a computer system, such as a search engine. This notion is introduced for the first time in the Ph.D. thesis of Dr. Ghazaleh Khodabandelou. This thesis presents a novel approach of process mining, called Map Miner Method (MMM). This method is designed to automate the construction of intentional process models from traces. MMM uses Hidden Markov Models to model the relationship between users' activities and the strategies (i.e., the different ways to fulfill the intentions). The method also includes some specific algorithms developed to infer users' intentions and construct intentional process model (Map), respectively. MMM models the intentions as an oriented graph (with different levels of granularity) in order to have a better understanding of the human way of thinking.