ACM Transactions on Knowledge Discovery from Data | 2024 Impact Factor: 4.8 | Cite Score: 8.4 | Q1

About this Journal:
Focuses on publishing high-quality research in the field of knowledge discovery from data.
Encourages contributions that advance the understanding and development of data mining techniques and their applications.
Provides a platform for disseminating innovative methodologies and their real-world applications in various domains.
Serves as a resource for researchers and practitioners interested in the intersection of data science, machine learning, and artificial intelligence.

Scope of the Journal:
Development and application of algorithms for data mining and knowledge discovery.
Machine learning techniques and their integration with data mining processes.
Data preprocessing, feature selection, and dimensionality reduction methods.
Evaluation metrics and methodologies for assessing the performance of data mining algorithms.
Applications of data mining in various fields such as healthcare, finance, and social networks.
Ethical considerations and privacy issues related to data mining and knowledge discovery.