Retrieved January 28, 2008, from the Thompson Gale database.Knowledge Management Metrics: A Review and Directions for Future Research[J] . A. Kankanhalli,B. C.Y. Tan.International Journ...
The study lacked clear control groups or other comparison metrics The study did not conform to recognized procedures or methodology that can be repeated The analysis is not statistically valid or does not follow the norms of the field The conclusions were exaggerated:The conclusions cannot be justifi...
The most common evaluation metrics found in the literature for NTL classification approaches are accuracy, recall, precision, F-value and Matthews correlation coefficient. One of the main challenges found when building an NTL classification model is the lack of abnormal and irregular consumption data,...
5000 Accesses 69 Citations Metrics details Abstract Background: Patients who have completed initial cancer treatment (cancer survivors) have been relatively neglected. We need data to help us better understand the needs of this group and to underpin evidence-based service development. Methods: Scoping...
Compared to bibliometrics, scientometrics analysis involves not only literature metrics but also scientific talent, research funding, and the scientific community, and the results are more objective (Glänzel,2015). Scientometrics is more closely related to the development of science, and the use of...
Additionally, you can view metrics monitoring for each AWS instance you set up. You can also configure CPU utilization notifications when your instance is under heavy load. This is a warning that you might need to upgrade your server’s resources. ...
2857 Accesses 4 Citations Metrics details Abstract Background Non-National Immunization Program (NIP) vaccines have played an important role in controlling vaccine-preventable diseases (VPDs) in China. However, these vaccines are paid out of pocket and there is room to increase their coverage. We ...
Machine learning interpretability: A survey on methods and metrics Electronics, 8 (8) (2019), p. 832 CrossrefView in ScopusGoogle Scholar [142] Linardatos P., Papastefanopoulos V., Kotsiantis S. Explainable AI: A review of machine learning interpretability methods Entropy, 23 (1) (2021)...
(a human expert) tests each discovered rule from the model by unifying them against the (domain) knowledge base. The domain-knowledge here serves as some kind of a validation set where if the ratio of successful rule unification crosses a certain threshold, then the set of discovered rules ...
Semrush offers a robust set of comprehensive keyword research tools and metrics to enhance your keyword strategy. The Keyword Overview tool (pictured above) shows a keyword’s search volume, number of results, trend data, and more. The Keyword Difficulty tool assesses how hard it would be to ...