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1. Tasks-Structure-Cognition Tasks-Structure-Cognition Public

   Under the task cognition aspect, we understand categorizing tasks into routine, semi-cognitive, and cognitive based on task clarity (clear rules) and automation potential. The cognition aspect is c…

   Python 1 1

2. Association-rules Association-rules Public

   Association rules aim to provide a decision support to a process worker in a form of tasks sets based on the incoming ticket. The association rules are applied using the arules package to determine…

   R 1

3. Decision-Making-Logic-Taxonomy Decision-Making-Logic-Taxonomy Public

   It is aimed to discover the decision-making nature of activities, called Decision-Making Logic (DML) level. We use the following DML levels: routine, semi-cognitive and cognitive.

   Python

4. Business-Sentiment Business-Sentiment Public

   We suggest a specific approach of Business Sentiment as an instrument for measuring the emotional component of an IT ticket. This latent information is extracted from the unstructured IT ticket tex…

   Python

5. Tasks-Typology Tasks-Typology Public

   Under tasks typology, we understand the actual task activity, i.e., what is needed to be done. Here we differentiate between tasks types and subtypes.

   Python

6. Stylistic-Patterns-and-Readability Stylistic-Patterns-and-Readability Public

   Growing IT complexity and related problems, which are reflected in IT tickets, create a need for new qualitative approaches. The goal is to automate the extraction of knowledge regarding the readin…

   Python