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- research-articleJuly 2024
Driving Supply Chain Resilience: Exploring the Potential of Operations Management and Industry 4.0
Procedia Computer Science (PROCS), Volume 232, Issue C2024, Pages 2458–2467https://doi.org/10.1016/j.procs.2024.02.065AbstractThe COVID-19 pandemic and the Russian-Ukrainian war revealed vulnerabilities in supply chains, emphasizing the need for resilience in multiple industries. While Industry 4.0 is valuable, it cannot fully address complex supply chain challenges. ...
- research-articleNovember 2021
An agent organizational method for modeling the complexity of the design process
NISS '21: Proceedings of the 4th International Conference on Networking, Information Systems & SecurityApril 2021, Article No.: 20, Pages 1–7https://doi.org/10.1145/3454127.3456595The management of the design process is a challenging mission; and most researchers would argue that design is linked to intentional action and it cannot emerge out of complexity. In fact, the interactions between processes, operators, and activities ...
- research-articleJanuary 2019
Feature selection methods for document clustering: a comparative study and a hybrid solution
International Journal of Data Analysis Techniques and Strategies (IJDATS), Volume 11, Issue 32019, Pages 246–272https://doi.org/10.1504/ijdats.2019.101154The web proliferation makes the exploration and the use of the huge amount of available unstructured text documents challenged, which drives the need of document clustering. Hence, improving the performances of this mechanism by using feature selection ...
- research-articleJanuary 2019
An improved RDF data Clustering Algorithm
Procedia Computer Science (PROCS), Volume 148, Issue C2019, Pages 208–217https://doi.org/10.1016/j.procs.2019.01.038AbstractLinked data has been officially approved as one of the best useful sources for background information that publishing and connecting structured data on the Web. Therefore, Machine Learning community should respond with a clear package of methods ...
- research-articleJanuary 2019
A survey of clustering algorithms for an industrial context
Procedia Computer Science (PROCS), Volume 148, Issue C2019, Pages 291–302https://doi.org/10.1016/j.procs.2019.01.022AbstractAcross a wide variety of fields and especially for industrial companies, data are being collected and accumulated at a dramatic pace from many different resources and services. Hence, there is an urgent need for a new generation of computational ...
- research-articleNovember 2018
Graph Embeddings for Linked Data Clustering
iiWAS2018: Proceedings of the 20th International Conference on Information Integration and Web-based Applications & ServicesNovember 2018, Pages 122–128https://doi.org/10.1145/3282373.3282401The availability and accessibility of large RDF data in the Linked Open Data cloud encourage the machine learning community to develop approaches and techniques to extract useful knowledge from such type of data. Moreover, Data Clustering is identified ...
- research-articleDecember 2013
Text Document Clustering with Hybrid Feature Selection
IIWAS '13: Proceedings of International Conference on Information Integration and Web-based Applications & ServicesDecember 2013, Pages 600–604https://doi.org/10.1145/2539150.2539225Finding the appropriate information and understanding to human research is a delicate task when dealing with an outstanding number of unstructured texts created daily. Hence the objective of clustering algorithms which are part of the powerful text ...