After the article How to use twitter for data miners, let me propose advice on using LinkedIn.
First, you may already know that your LinkedIn account can be linked to display your tweets (see this link). Continue by adding the right keywords in your summary, so that other data miners can find you easily. Examples of terms are data mining, predictive analytics, knowledge discovery and machine learning.
Continue by searching for other people with the same interests (use the same keywords as above). To introduce yourself to people you don’t know, you may use the “friend” type of connection. But in this case, don’t forget to personnalize your request message to clearly state that you work in the same area.
More Read
The next step is to participate to data mining groups, such as:
- ACM SIGKDD
- Advanced Business Analytics, Data Mining and Predictive Modeling
- AnalyticBridge
- Business Analytics
- CRISP-DM
- Customers DNA
- Data Miners
- Data Mining Technology
- Data Mining, Statistics, and Data Visualization
- Machine Learning Connection
- Open Source Data Mining
- SmartData Collective
Don’t hesitate to give your opinion or answer questions. Help is always appreciated and people may keep in touch with you in the future. Finally, each time you receive a visit card, add your contact to LinkedIn. In the case he is not a member of it, invite him!
These are my personal suggestions on using LinkedIn for data miners. Don’t hesitate to share yours!
