Data Mining and Knowledge Discovery (DAMI) is a premier journal covering cutting-edge research and practical applications of data mining, machine learning, and knowledge discovery. It explores methodologies for extracting useful patterns and insights from large datasets across diverse domains.
The journal focuses on novel algorithms, statistical techniques, and data management strategies. DAMI also covers applications in business analytics, bioinformatics, social media analysis, and cybersecurity. This peer-reviewed journal is indexed in leading databases like Scopus and Web of Science. Serving as a valuable resource for researchers and practitioners, it pushes the boundaries of knowledge discovery.
Explore advanced techniques, contribute your original research, and stay updated on the latest trends. DAMI remains dedicated to promoting data-driven decision-making and advancing the field of knowledge discovery. Submit your work today and be a part of the innovation.