Instead of focusing on impressive results, I took the opportunity to expose a bit of the imperfect process that leads to them. I did it because Julia taught me that bringing the process into the open, flaws and all, can take the fear out of data mining.-Meta Brown
Meta Brown is one of the top analytics consultants in the industry and author of the just released "Data Mining for Dummies." She wrote a guest post this week on what we can learn about data mining from "The French Chef," aka Julia Child. We can learn a lot from Meta's post including how to teach anayltics to others in our organization so that data democratization doesn't go awry in the course of the spreading data mania.
So here's my question: If a multi-billion dollar industry has sprung up overnight around the collection of data about the habits, interests, appetites, preferences and wardrobe of elementary school kids based on where they sign in with their digital IDs, then how come education isn't improving?
Meta Brown is back with a book all about data mining.
Data on the most closely held companies is open to media for mining--and it comes free of charge.
Hidden data from London's oldest criminal court could change history after it's all mined and analyzed.
Threats against mobile networks are increasing in number and sophistication, but the underlying network security architecture has not been updated to keep pace with those threats, warned Selim Aissi, vice president for global information security at Visa, during a panel discussion at the RSA Conference this week.
If you're into big data about big data, check out KDNuggets' interesting charts and analysis on the top 2013 LinkedIn Groups for analytics, big data, data mining and data science. As usual, editor Gregory Piatetsky doesn't disappoint.
Amazon is collecting viewer feedback in innovative ways in order to improve the traditional TV development process.
Around 42 percent of IT leaders surveyed by Gartner have invested or plan to invest in big data technology within a year. Fueling this investment is a recognition among enterprises that there are business opportunities that cannot be exploited using traditional data sources, technologies or practices. There are also demonstrated use cases for big data.