linkedin
linkedin

First, you may already know that your LinkedIn account can be linked to show your tweets (see here). Continue adding the right keywords in your summary, so that other data mining can be found easily. Examples of terms of data mining, predictive analytics, knowledge discovery and machine learning. Continue by finding other people with similar interests (use the same words as above). To apply to people who do not know, you can use the “friend” connection type. But in this case, do not forget your message personnalize clear application that works in the same area.

linkedin
linkedin
linkedin
linkedin

The next step is to involve the mining groups, such as:

ACM SIGKDD
Advanced business analytics, data and predictive modeling
AnalyticBridge
Business Analytics
CRISP-DM
DNA customers
The data mining
Data Mining Technology
Data Mining, Statistics and Data Visualization
Connection with machine learning
Open Source Data Mining
Collective SmartData

Do not hesitate to give your opinion or answer questions. Help is always appreciated and people can keep in touch with you in the future. Finally, each time you receive a card, add the contact to LinkedIn. In the event that is not a member of it, you’re welcome!

How Can Use LinkedIn for Data Miners

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