When resource bottlenecks stall your data mining tasks, it's crucial to address the issue promptly to keep your projects moving forward. Here are some strategies to consider:

• Optimize resource allocation: Evaluate and redistribute resources to ensure critical tasks get the attention they need.

• Leverage cloud computing: Utilize cloud services to scale your resources dynamically based on demand.

• Automate repetitive tasks: Implement automation tools to handle routine processes, freeing up resources for more complex tasks.

What strategies have worked for you in overcoming resource bottlenecks in data mining? Share your experiences.