@inproceedings{430531f24a2b43f89fd38c4f65b4e5cf,
title = "Process Logo: An Approach for Control-Flow Visualization of Information System Process in Process Mining",
abstract = "This paper proposes a new technique named “Process Logo” for visualizing the causal relationship between the activities of a process (Control flow). Traditional process mining algorithms rely on representing the activity as a sequence of operations modeled using nodes and edges, as the number of activities increases, the representation of the entire control flow becomes quite tedious. Process logo is a compact yet highly informative method for visually representing the process model. It visually summarizes the number of activities, sequence of execution, relative significance, and dependency between activities. It uses a dynamic programming method—sequence alignment and clustering approach with Levenshtein measure as a distance measure. The proposed method is evaluated on the synthetic event log, the experimental result is promising.",
author = "\{Manoj Kumar\}, \{M. V.\} and Prashanth, \{B. S.\} and Sneha, \{H. R.\} and Likewin Thomas and B. Annappa and Murthy, \{Y. V.S.\}",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 6th International Conference on Emerging Research in Computing, Information, Communication and Applications, ERCICA 2020 ; Conference date: 25-09-2020 Through 26-09-2020",
year = "2022",
doi = "10.1007/978-981-16-1338-8\_40",
language = "English",
isbn = "9789811613371",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "481--492",
editor = "Shetty, \{N. R.\} and Patnaik, \{L. M.\} and Nagaraj, \{H. C.\} and Hamsavath, \{Prasad N.\} and N. Nalini",
booktitle = "Emerging Research in Computing, Information, Communication and Applications - ERCICA 2020",
address = "Germany",
}