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BARTÍK, V. POSPÍŠIL, M.
Original Title
Use of Frequent Itemset Mining Techniques to Analyze Business Processes
Type
conference paper
Language
English
Original Abstract
Analysis of business process data can be used to discover reasons of delays and other problems of a business process. This paper presents an approach, which uses a simulator of production history. This simulator allows detecting problems at various production machines, e.g. extremely long queues of products waiting before a machine. After detection, data about products processed before the queue increased are collected. Frequent itemsets obtained from this dataset can be used to describe the problem and reasons of it. The whole process of frequent itemset mining will be described in this paper. It is also focused on description of several necessary modifications of basic methods usually used to discover frequent itemsets.
Keywords
Business Process, Process Mining, Frequent Itemsets, Simulator of Production History, Association Rules.
Authors
BARTÍK, V.; POSPÍŠIL, M.
RIV year
2015
Released
15. 11. 2015
Publisher
SciTePress - Science and Technology Publications
Location
Lisbon
ISBN
978-989-758-158-8
Book
Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
Pages from
273
Pages to
280
Pages count
8
BibTex
@inproceedings{BUT119870, author="Vladimír {Bartík} and Milan {Pospíšil}", title="Use of Frequent Itemset Mining Techniques to Analyze Business Processes", booktitle="Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management", year="2015", pages="273--280", publisher="SciTePress - Science and Technology Publications", address="Lisbon", isbn="978-989-758-158-8" }