What are the Challenges in Data Mining for Catalysis?
Data mining in catalysis faces several challenges, including:
Data Quality: Ensuring the accuracy and consistency of data from different sources is critical for reliable analysis. Data Integration: Combining data from diverse sources, formats, and scales can be complex and time-consuming. Computational Resources: High-performance computing resources are often required to process and analyze large datasets. Interpretability: Making sense of the results from data mining techniques and translating them into actionable insights can be challenging.
