Data Mining Poll: What Networks Do You Use?

As a data miner, or someone interested in data mining, you certainly use different resources to network with people in the field. Some of them may be websites or social networks, etc. In the poll below, you can indicate which networks or websites you are using as a data miner. This is a multiple choice poll:

If you have checked the "Others" option, please add a comment to this post and indicate the specific resource you are using.

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Data Miners on Twitter

After the LinkedIn and Facebook phenomena, here comes Twitter. When the short process of account creation is done, you can start writing small "posts" of maximum 140 characters. Twitter is a kind of micro-blogging platform. It is somehow between the blog and the chat. You can discuss a topic, and people can answer to your tweets. If you like someone's topics, you can follow him. You will then discover all the people he follows and the ones following him. You can of course then connect with all these people.

At this stage you may ask yourself two questions. First question: why would you use Twitter? From a professional point of view, you can build a network of people in your field. You will also be aware of what happens in a particular domain. This is much more dynamic than a forum and it spreads faster than a newsletter.

Second question: what can you write in less than 140 characters? You can share an interesting article, highlight a website, point to a blog post, mention a nice book you have just read, some news you want to discuss about and many other things. In fact I use Twitter when I want to share something that would not deserve a whole post on my blog.

If you want to give Twitter a try, here is a list of data miners on Twitter. I have also mentioned their blog or company when available:

• analyticbridge (AnalyticBridge)
  
• anand_raj (Datawocky)
  
• Atripathy (Analytical Engine)
  
• BeyeNETWORK (Beye Network)
  
• DatabaseJournal (The Database Journal)
  
• DataMiningBlog (Data Mining Research)
  
• dataspora (yours truly, Dataspora)
  
• decisionstats (Decision Stats)
  
• EnterpriseData (The Enterprise Data World Conference)
  
• flowingdata (Nathan Yau, FlowingData)
  
• hackingdata (Jeff Hammerbacher, Cloudera)
  
• Hey_jamie (Jamie's Junk)
  
• IntelligentEnt (IntelligentEnterprise.com)
  
• josek_net (Business Intelligence, Data Mining & Machine Learning)
  
• kdnuggets (KDnuggets)
  
• kiwitobes (Toby Segaran, Freebase)
  
• matthewhurst (Data Mining: Text Mining, Visualization and Social Media)
  
• minethatdata (MineThatData)
  
• mrflip (Flip Kromer, Infochimps)
  
• Neuralmarket (Neural Market Trends)
  
• peteskomoroch (Data Wrangling)
  
• SmartDataCo (Smart Data Collective Network)
  
• Teradata (TeraData)
  
• tdwi (The Data Warehousing Institute)
  
• TimManns (A blog by Tim Manns)

Also, don't forget that you can see the following and followers of everyone. Here is a nice blog for more tips on Twitter. If you are a data miner and if you use Twitter, feel free to add a comment to this post and mention your user name.

Update: February, 11th 2009 (thanks to Michael Driscoll)

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"Bloggers" group on AnalyticBridge

For those interested, I have created a group for bloggers on AnalyticBridge. If you have a blog related to statistics, data mining, business intelligence, web analytics, etc. or if you want to know what a blog can bring to you, feel free to join the group.

Here is the description of the "Bloggers" group:

Discussions about blogging. Share your experience if you are a blogger or learn what a blog could bring to you. What should you have on your blog? How to advertise your blog? How can you measure its popularity?

Hope to see you there!

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Web Analytics Wednesday

Web analytics, in brief, is the study of website visitor behavior. One of the most known tool for web analytics is Google Analytics. Its success is certainly due to its price (free) and its origin (Google). Maybe because its a good tool, but that's another issue that I won't discuss in this post.

Anyway, if you're interested in web analytics, have a look at the Web Analytics Wednesday. It is a social networking event for people interested in this quite new field. Events are organized in several countries around the world. I'm particularly happy that Switzerland is organizing one of those meetings. So, if you're a professional in the field, or just like me, a fan of web analytics, feel free to come to one of these events (on the website, you can click on the map to choose an event location).

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AnalyticBridge

If you prefer LinkedIn rather than Facebook (because it is a more serious network) and if you are interested in data mining (you should if you are reading this blog), then the AnalyticBridge network is certainly for you. Vincent Granville has just created a new social network for people working in statistics, data mining, BI or any other field related to analytic.

Here is a list of keywords, from AnalyticBridge, describing the network focus:

• Biostats
  
• Statistics
  
• Econometrics
  
• Computational finance
  
• Data mining
  
• Business intelligence
  
• Computer science
  
• Operations research
  
• SAS
  
• Maths
  
• Risk management
  
• Market research
  
• Six sigma
  
• Web analytics.

Appart from keeping in touch with colleagues in the field, this network can be very usefull for discovering people working in your field or finding a job.

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