In this diploma thesis we will deal with integration of algorithm SICS into R
program environment. This algorithm was created for solving the problem
of subgraph isomorphism, which refers to pattern matching problem between
smaller and bigger graph. In the benchmarks an algorithm performed better
the previous algorithms for solving this problem. Algorithm is implemented
in C++ programming language which enables him to perform faster. Since
we wanted to use the algorithm in R software environment, we had to integrate it there. The result of this integration is the SICS package which is
located on Github and is publicly available. It works such that we install
it first in our development environment and from then on we use it as a library with single function. The function accepts two and various execution
parameters graphs as input , and returns a list with node mappings between
the input graphs as an output.
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