Data Mining Blogs: The Big List

I posted an earlier version of this data mining blog list in a previously on DMR. Here is an updated version (blogs recently added to the list have the logo "new"). I will keep this version up-to-date. You can access it at any time from the DMR top bar. Here is a link to the OPML version. If you know a data mining blog that is not in this list, feel free to post a comment so I can add the link. Also, if you see any broken link, please mention it.

• Abbott Analytics: both industry and research oriented posts covering any topic related to data mining (Will Dwinnell and Dean Abbott)
  
  
• A Blog by Tim Manns: as defined in it's subtitle, this blog deals with "data mining, analysing terabyte data warehouses, using SPSS Clementine, telecommunications, and other stuff" (Tim Manns).
  
  
• Business Intelligence, Data Mining & Machine Learning: This blog covers data mining and related topics from a research point of view. Several conferences and workshops are announced on this blog (JoSeK).
  
  
• Crime Analysis and Data Mining: everything is in the title (Shyam Varan Nath)
  
  
• Datalligence: analytics/data mining, marketing research and survey programming. From the point of view of an engineer (Romakanta)
  
  
• Data Miners Blog: data analysis and visualization from an industry point of view (Data Miners Team)
  
  
• Data Mining: A good starting point for beginners in data mining. Important data mining concepts are presented with examples of applications (Sarfaraz).
  
  
• Data Mining, Analytics and Artificial Intelligence: this blog gives news about data mining and AI very frequently (Alberto Roldan)
  
  
• Data Mining et al.: A new blog about data mining with details on particular applications in this field (Georg Russ)
  
  
• Data Mining Lab: the blog of the data mining laboratory at Brigham Young University, mainly about social communities and meta-learning (Data Mining Lab)
  
  
• Data Mining Research: A place to exchange ideas and comments about data mining research and applications (Sandro Saitta)
  
  
• Data Mining: Text Mining, Visualization and Social Media: a focus on data visualization and the blogosphere (Matthew Hurst)
  
  
• Data Mining in MATLAB: posts related to the use and possibilities of Matlab for data mining related problems (Will Dwinnell)
  
  
• DataSciences Analytics: discuss statistics and predictions among other interesting topics (John Aitchison)
  
  
• Data Strategy: This new blog (started in June) discuss data strategy in general. Data acquisition, visualization and data mining are examples of topics (Chuck Lam)
  
  
• Datawocky: The co-founder of Kosmix writes about data mining with a particular focus on search, social media, and advertising (Anand Rajaraman).
  
  
• Data Wrangling: comprehensive posts on technology and news related to data mining and machine learning. Also a lot of very useful resources (Pete Skomoroch)
  
  
• Diamond Information and Analytics: analytics and its applications in marketing and operations (Amaresh Tripathy)
  
  
• Foraging in the Data Forest: although not updated recently, this blog has interesting posts about data visualization and statistics (Donald Farmer)
  
  
• Intelligent Machines: news related to data mining, machine learning and artificial intelligence (Damien François)
  
  
• Jamie's Junk: a blog that focus on data mining using Microsoft SQL Server (Jamie Mac)
  
  
• Juice Analytics: data analytics with an emphasis on data visualization and corresponding tools (Juice Team)
  
  
• Life Analytics: practical applications of data mining with a particular emphasis on text mining (Themos Kalafatis)
  
  
• Machine Learning, etc: Theory behind machine learning and news related to this field (Yaroslav Bulatov)
  
  
• Machine Learning (Theory): a strong emphasis on theoretical aspects of machine learning (John Langford)
  
  
• Machine Learning Thoughts: philosophical and theoretical discussions about machine learning in general (Olivier Bousquet)
  
  
• Math Stats and Data Mining: data mining with a point of view from statistics (Rachel Graham)
  
  
• MineThatData: data mining from the marketing point of view (Kevin Hillstrom)
  
  
• Mininglabs: a group of researchers blogging about data mining and visualization with a particular focus on mining data from social networks and the web (the mininglab team)

• Neural Market Trends: a blog about applications of data mining in finance with an emphasis on the RapidMiner tool (Thomas Ott)
  
  
• Oracle Data Mining and Analytics: A blog focusing on the use of Oracle for data mining. It covers news, code and applications related to Oracle (Marcos M. Campos)
  
  
• Radford Neal's blog: Radford Neal writes about statistics and machine learning. Radford writes about Maximum Likelihood Estimation and the R language drawbacks among others.
  
  
• Shane's Blog: a personal view on data mining with posts on different applications and news (Shane Butler)
  
  
• Smart (Enough) Systems: data mining and analytics (among others) for decision management (James Taylor)
  
  
• Undirected Grad: a machine learning blog from a PhD student at Cambridge (Jurgen Van Gael)
  
  
• Yet Another Machine Learning Blog: more machine learning oriented but contains a lot of useful information (Pierre Dangauthier)
  

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