Mining event logs for knowledge discovery based on adaptive efficient fuzzy Kohonen clustering network-Reference-Cited by-同舟云学术

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Mining event logs for knowledge discovery based on adaptive efficient fuzzy Kohonen clustering network

Published:2020-12 Issue: Volume:209 Page:106482
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Pan Yue,Zhang Limao,Li Zhiwu

Funder

Ministry of Education Tier 1 Grants, Singapore

Start-Up Grant at Nanyang Technological University, Singapore

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference46 articles.

1. A hybrid data mining approach on BIM-based building operation and maintenance;Peng;Build. Environ.,2017

2. BIM log mining: Exploring design productivity characteristics;Pan;Autom. Constr.,2020

3. BIm log mining: Learning and predicting design commands;Pan;Autom. Constr.,2020

4. A review of building information modeling (BIM) and the Internet of Things (IoT) devices integration: Present status and future trends;Tang;Autom. Constr.,2019

5. Extracting useful knowledge from event logs: a frequent itemset mining approach;Djenouri;Knowl.-Based Syst.,2018

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1. Application a Committee of Kohonen Neural Networks to Training of Image Classifier Based on Description of Descriptors Set;IEEE Access;2024

2. Time series clustering-enabled geological condition perception in tunnel boring machine excavation;Automation in Construction;2023-09

3. Time series clustering for TBM performance investigation using spatio-temporal complex networks;Expert Systems with Applications;2023-09

4. Lexicon-based content analysis of BIM logs for diverse BIM log mining use cases;Advanced Engineering Informatics;2023-08

5. Impact of 3D modeling behavior patterns on the creativity of sustainable building design through process mining;Automation in Construction;2023-06

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