  The search of new physics~(NP) beyond the Standard Model is one of the most
important tasks of high energy physics. A common characteristic of the NP
signals is that they are usually few and kinematically different. We use a
model independent strategy to study the phenomenology of NP by directly picking
out and studying the kinematically unusual events. For this purpose, the
isolation forest~(IF) algorithm is applied, which is found to be efficient in
identifying the signal events of the anomalous quartic gauge couplings~(aQGCs).
The IF algorithm can also be used to constraint the coefficients of aQGCs. As a
machine learning algorithm, the IF algorithm shows a good prospect in the
future studies of NP.
