Publication result detail

Use of Frequent Itemset Mining Techniques to Analyze Business Processes

BARTÍK, V.; POSPÍŠIL, M.

Original Title

Use of Frequent Itemset Mining Techniques to Analyze Business Processes

English Title

Use of Frequent Itemset Mining Techniques to Analyze Business Processes

Type

Paper in proceedings (conference paper)

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.

English 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.

Key words in English

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

Authors

BARTÍK, V.; POSPÍŠIL, M.

RIV year

2016

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"
}