Efficient querying of large process model repositories-Reference-Cited by-同舟云学术

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Efficient querying of large process model repositories

Published:2013-01 Issue:1 Volume:64 Page:41-49
ISSN:0166-3615
Container-title:Computers in Industry
language:en
Short-container-title:Computers in Industry

Author:

Jin Tao,Wang Jianmin,La Rosa Marcello,ter Hofstede Arthur,Wen Lijie

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference44 articles.

1. Business Process Model Merging: An Approach to Business process Consolidation;La Rosa;ACM Transactions on Software Engineering and Methodology,2012

2. Algorithmics and Applications of Tree and Graph Searching;Shasha,2002

3. Graph indexing: a frequent structure-based approach;Yan,2004

4. TreePi: a novel graph indexing method;Zhang,2007

5. FG-index: towards verification-free query processing on graph databases;Cheng,2007

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1. Business Process Retrieval from Large Model Repositories for Industry 4.0;IEEE Transactions on Services Computing;2024

2. TPROCESS APPROACH IN MANAGING TRANSPORT IN MANUFACTURING ENTERPRISES;Polish Journal of Management Studies;2023-06

3. Natural language querying of process execution data;Information Systems;2023-06

4. Business Process Management: The evolution of a discipline;Computers in Industry;2021-04

5. Automatic Hierarchical Reinforcement Learning for Reusing Service Process Fragments;IEEE Access;2021

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