A word-embedding-based approach for accurate identification of corresponding activities-Reference-Cited by-同舟云学术

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A word-embedding-based approach for accurate identification of corresponding activities

Published:2019-09 Issue: Volume:78 Page:218-229
ISSN:0045-7906
Container-title:Computers & Electrical Engineering
language:en
Short-container-title:Computers & Electrical Engineering

Author:

Shahzad Khurram,Kanwal Safia,Malik Kamran,Aslam Faisal,Ali Muhammad

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering

Reference24 articles.

1. Fundamentals of business process management;Dumas,2018

2. A probabilistic evaluation procedure for process model matching techniques;Kuss;Data knowEng,2018

3. Generating synthetic process model collections with properties of labeled real-life models;Yan,2014

4. The process model matching contest 2015;Antunes;Enterprise ModellInfSystArchitect,2015

5. How to make process model matching work better? an analysis of current similarity measures;Jabeen,2017

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1. First steps towards improving official statistics data accessibility in Mexico: Query expansion with neural networks and ad-hoc space vectors;Statistical Journal of the IAOS;2023-09-12

2. Impact of word embedding models on text analytics in deep learning environment: a review;Artificial Intelligence Review;2023-02-22

3. Augmenting Business Process Model Elements With End-User Feedback;IEEE Access;2022

4. A Novel Approach for Business Process Model Matching Using Genetic Algorithms;Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms;2021

5. Effective Utilization of Supervised Learning Techniques for Process Model Matching;Computing and Informatics;2020

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