Use of Frequent Itemset Mining Techniques to Analyze Business Processes
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F15%3APU117013" target="_blank" >RIV/00216305:26230/15:PU117013 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Use of Frequent Itemset Mining Techniques to Analyze Business Processes
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20206 - Computer hardware and architecture
Result continuities
Project
<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
ISBN
978-989-758-158-8
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
273-280
Publisher name
SciTePress - Science and Technology Publications
Place of publication
Lisbon
Event location
Lisbon
Event date
Nov 12, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000411797400029