Group Recommendation Using Psychometric Analysis
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0327-2_31
Reference15 articles.
1. Mathias SG, Großmann D, Sequeira GJ (2019) A comparison of clustering measures on raw signals of welding production data. In: 2019 international conference on deep learning and machine learning in emerging applications (deep-ML), Istanbul, Turkey, pp 55–60. https://doi.org/10.1109/Deep-ML.2019.00019
2. https://www.psycholosphere.com/The%20Leadership%20Attitudes%20and%20Beliefs%20Scale%20by%20Wielkiewicz.pdf
3. https://www.researchgate.net/publication/282806754_Validity_and_Reliability_of_the_Teamwork_Scale_for_Youth
4. https://www.researchgate.net/publication/2457331_Enhancing_Supervised_Learning_with_Unlabeled_Data
5. Amruthnath N, Gupta T (2018) A research study on unsupervised machine learning algorithms for early fault detection in predictive maintenance. In: 2018 5th international conference on industrial engineering and applications (ICIEA), Singapore, pp 355–361. https://doi.org/10.1109/IEA.2018.8387124
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