What Challenges Exist in Data Mining for Nanotechnology?
Despite its advantages, data mining in nanotechnology faces several challenges:
The complexity and heterogeneity of nanotechnology data. Data quality issues such as noise, missing values, and inconsistencies. The need for interdisciplinary expertise to interpret data mining results. Scalability issues with large datasets.
