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10 challenging problems in data mining research

10 challenging problems in data mining research

Explore the ten most challenging problems currently facing data mining research, issues that demand innovative solutions and significantly impact the field's advancement. From scalability and data privacy to concept drift and imbalanced datasets, understanding these core difficulties is crucial for researchers and practitioners aiming to push the boundaries of big data analytics and machine learning.