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MyData : renverser la relation consommateur, concrètement

MyData : renverser la relation consommateur, concrètement

http://www.internetactu.net/2011/09/20/mydata/

Google Maps: 100+ Best Tools and Mashups Most people think of Google Maps in terms of finding a place or business, or getting directions from one point to another. Others use the satellite images and terrain mapping features. But there are tons of other uses out there for Google maps. From mapping the weather and news to mapping things that aren't maps at all, like paintings or magazines, Google Maps has a lot to offer. And there are free tools available out there for those who want to use the Google Maps API without doing a bunch of coding. Google Map Maker Google Map Maker officially closed on March 31, 2017, and many of its features are being integrated into Google Maps. Since 2008, the Google Map Maker community has edited and moderated millions of features to improve the Google Maps experience. To make it easier for all Google Maps users to contribute changes to the map, we’ve started to graduate functionality from Map Maker to Google Maps on both desktop and mobile. Key editing features currently available in Google Maps include:

Can Telcos Unlock the Value of their Consumer Data? Summary: telcos have a significant market opportunity to act as custodians of 'digital personas', giving consumers the power to exploit their own data. This is an extract from a special 100 page report containing expert contributions and detailed analysis on privacy issues, legal and regulatory frameworks, technological solutions, adjacent competition, and including ‘best and next practice’ and scenario analysis, from the 1st Telco 2.0 International Summit on Consumer Data and Privacy. The richness of the consumer data that flows through telco networks is far greater than anything Google has. The potential social and economic benefits from mining this 'analytic super-food' are enormous. What is the role of telcos in enabling this and what do they need to get right to realise the opportunity? The Challenges of the 'Consumer Data Explosion'

The Visible Universe, Then and Now Before the telescope was invented in 1608, our picture of the universe consisted of six planets, our moon, the sun and any stars we could see in the Milky Way galaxy. But as our light-gathering capabilities have grown, so too have the boundaries of the visible universe. Our interactive map shows how the known universe has grown from 1950 to 2011. In the late 1700s, William Herschel, an English astronomer using a telescope with an 18.7-inch aperture, made the first systematic surveys of the skies, revealing more than 2,000 distant galaxies, nebulae and other objects invisible to the naked eye. Since then, increasingly powerful optical and radio telescopes have greatly expanded our store of knowledge. An Annual Report on One Man's Life Nick Bilton/The New York TimesNicholas Felton and his 2008 annual report. At the end of 2005, Nicholas Felton decided to publish a report that would chronicle his life over the previous year. He looked through his music archives to see how many songs he had listened to. He checked his airline ticket stubs to see how many miles he had flown. He aggregated the number of books read and photos taken.

Style space: How to compare image sets and follow their evolution (part 4) This is part 4 of a four part article. Part 1, Part 2, Part 3. Text: Lev Manovich. All visualizations are created with free open-source ImagePlot software developed by Software Studies Initiative. The distribution also includes a set of 776 images of van Gogh paintings, and the tools that were used to measure their image properties. New University of Utah center offers some serious computing muscle to handle 'extreme data' SALT LAKE CITY — A picture may be worth a thousand words, but in the fields of science, they can be worth billions and billions of bytes of information. A few years ago, then Hewlett-Packard CEO Mark Hurd said "more data will be created in the next four years than in the history of the planet." Hurd's prediction was understated. Studies have showed that humanity has created more computer data than all documents in the entire past 40,000 years — and that was in 2007.

Famous Perl One-Liners Explained, Part I: File Spacing Hi all! I am starting yet another article series here. Remember my two articles on Awk One-Liners Explained and Sed One-Liners Explained? They have received more than 150,000 views total now and they attract several thousand new visitors every week. Inspired by their success, I am going to create my own perl1line.txt file and explain every single oneliner in it.

Data Platform Not only open-source, but built in the open. HDP demonstrates our commitment to growing Hadoop and it’s sub-projects with the community and completely in the open. HDP is assembled entirely of projects built through the Apache Software Foundation. How is this different from open-source, and why is it so important? Proprietary Hadoop extensions can be made open-source simply by publishing to github. But compatability issues will creep in, and as the extensions diverge from the trunk, so too does reliance on the extension’s vendor. Latest As I mentioned in my previous post, our collaboration with the Sabeti Lab is aimed at creating new visual exploration tools to help researchers, doctors, and clinicians discover patterns and associations in large health and epidemiological datasets. These tools will be the first step in a hypothesis-generation process, combining intuition from expert users with visualization techniques and automated algorithms, allowing users to quickly test hypothesis that are “suggested” by the data itself. Researchers and doctors have a deep familiarity with their data and often can tell immediately when a new pattern is potentially interesting or simply the result of noise. Visualization techniques will help articulate their knowledge to a wider audience. This time around I will describe a quantitative measure of statistical independence called mutual information, which is used to rank associations in the data. -log 1/1000 = log 1000 = 6.9

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