Applying clustering and classification data mining techniques for competitive and knowledge‐intensive processes improvement-Reference-Cited by-同舟云学术

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Applying clustering and classification data mining techniques for competitive and knowledge‐intensive processes improvement

Published:2019-02-17 Issue:2 Volume:26 Page:123-139
ISSN:1092-4604
Container-title:Knowledge and Process Management
language:en
Short-container-title:Knowl Process Manag

Author:

Khanbabaei Mohammad¹^ORCID,Alborzi Mahmood¹,Sobhani Farzad Movahedi²,Radfar Reza³

Affiliation:

1. Department of Information Technology Management, Science and Research BranchIslamic Azad University Tehran Iran

2. Department of Industrial Engineering, Science and Research BranchIslamic Azad University Tehran Iran

3. Department of Technology Management, Science and Research BranchIslamic Azad University Tehran Iran

Publisher

Wiley

Subject

Management of Technology and Innovation,Strategy and Management

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/kpm.1595

Reference54 articles.

1. A knowledge-based approach for business process reengineering, SHAMASH

2. The dimensions of process knowledge

3. Firm Resources and Sustained Competitive Advantage

4. Conformance checking and diagnosis for declarative business process models in data-aware scenarios

5. Business processes and business functions: A new way of looking at employment;Brown S. P.;Monthly Labor Review,2008

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