Modeling Knowledge Worker Activity

1st Workshop on Applications of Pattern Analysis

计算机科学;数学科学

Tadej Sˇtajner [e-mail]

PID  :  116682

来源: CEUR

【 摘 要 】

This paper describes an approach to constructing a probabilistic process model repre senting knowledge worker activity out of a log of primitive events, such as emails, web page visits and document accesses. Firstly, we present the process of enriching the primi tive events into abstract actions, executed in different contexts. We explain the process of obtaining both context and action for each event by clustering the events via two different views. Secondly, we present an application of probabilistic deterministic finite automata to model the transitions between consecutive actions within the same context and demon strate the approach on realworld knowledge worker data for the purpose of understanding knowledge processes and demonstrating the feasibility of the proposed approach, where a