Update README.md

Author: zStupan

README.md

@@ -18,7 +18,7 @@
 NiaARM is a framework for Association Rule Mining based on nature-inspired algorithms for optimization. The framework is written fully in Python and runs on all platforms. NiaARM allows users to preprocess the data in a transaction database automatically, to search for association rules and provide a pretty output of the rules found. This framework also supports numerical and real-valued types of attributes besides the categorical ones. Mining the association rules is defined as an optimization problem, and solved using the nature-inspired algorithms that come from the related framework called [NiaPy](https://github.com/NiaOrg/NiaPy).
 
 ## Detailed insights
-The current version witholds (but is not limited to) the following functions:
+The current version includes (but is not limited to) the following functions:
 
 - loading datasets in CSV format,
 - preprocessing of data,
@@ -105,6 +105,7 @@ options:
   --logging             Enable logging of fitness improvements
   --show-stats          Display stats about mined rules
 ```
+Note: The CLI script can also run as a python module (`python -m niaarm ...`)
 
 ## Reference Papers: