  This work lies in the fusion of experimental economics and data mining. It
continues author's previous work on mining behaviour rules of human subjects
from experimental data, where game-theoretic predictions partially fail to
work. Game-theoretic predictions aka equilibria only tend to success with
experienced subjects on specific games, what is rarely given. Apart from game
theory, contemporary experimental economics offers a number of alternative
models. In relevant literature, these models are always biased by psychological
and near-psychological theories and are claimed to be proven by the data. This
work introduces a data mining approach to the problem without using vast
psychological background. Apart from determinism, no other biases are regarded.
Two datasets from different human subject experiments are taken for evaluation.
The first one is a repeated mixed strategy zero sum game and the second -
repeated ultimatum game. As result, the way of mining deterministic
regularities in human strategic behaviour is described and evaluated. As future
work, the design of a new representation formalism is discussed.
