Detail publikačního výsledku

Use of Frequent Itemset Mining Techniques to Analyze Business Processes

BARTÍK, V.; POSPÍŠIL, M.

Originální název

Use of Frequent Itemset Mining Techniques to Analyze Business Processes

Anglický název

Use of Frequent Itemset Mining Techniques to Analyze Business Processes

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

Business Process, Process Mining, Frequent Itemsets, Simulator of Production History, Association Rules.

Klíčová slova v angličtině

Business Process, Process Mining, Frequent Itemsets, Simulator of Production History, Association Rules.

Autoři

BARTÍK, V.; POSPÍŠIL, M.

Rok RIV

2016

Vydáno

15.11.2015

Nakladatel

SciTePress - Science and Technology Publications

Místo

Lisbon

ISBN

978-989-758-158-8

Kniha

Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management

Strany od

273

Strany do

280

Strany počet

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"
}