Explore outstanding results large data affect the development of the public sector

"Big Data" is changing the way we look at many problems. The documents released by Http://www.aliyun.com/zixun/aggregation/39325.html ">julian Assange's WikiLeaks website came from a variety of classified resources. The site, which is responsible for these sudden public information programmers, has now stripped out dates and addresses from 77,000 reports of incidents involving the war in Afghanistan, weaving a violent map. The project took one night, and it was surprising that, based on a model, researchers could predict the ensuing military events with high accuracy.

This method was used to analyze the 2010-year event, and the results were even more accurate in the relatively calm northern provinces of Afghanistan, although there were fewer data points. What we see is like the "psychological history" described by science fiction writer Isaac Asimov in the base. This "psychological history" is the prediction of future events through an analysis of the combination of history, sociology and statistical data. Large data has the ability to store more information than ever before, and computing power is improving. The result: we can deal with problems that have always looked beyond our statistical and quantitative analysis, even as it is happening on our PCs.

An early pioneer was Google. The company has indexed 4% of all printed books from 1800 to 2000, and has published a database containing each word in the library. For us, the word "TV" should not have been invented before television, but in Google's database we can see that the word has appeared several times before 1900 and has been around since the early the 1920s. Look at this website carefully and you will find many interesting things. You can insert several words and then draw their usage relative to other words.

Business Opportunities

When you look for business opportunities, you should take a good look at the big data trends. One sure thing is that smartphone storage is growing and camera technology is more pervasive. Many futurists are already looking at so-called "life Diaries". They are the result of next-generation devices-something that we will carry over the next few years-that is, they will not only record where we are, but will also record what we see and hear. You can imagine that you can use this technique to keep track of your own habits, identify where you most often consume, and help you remember places and names you may have forgotten.

Now, big data is being used to bring all sorts of curious and pending results. Jure Leskovec, a Stanford University professor who tracks online behavior, uses social networks like Facebook, which is not used to track friends and family information, but to dig up statistics. Leskovec found the right way to predict which contact users would be added as "friends"--in half of the cases he studied, the method showed considerable accuracy. He studied MSN information, found the distance between users, and he also studied how to create the shortest path between any two computers, which can improve the efficiency of the Internet.

Ultimate Solution

But if you want this trend to go where it really works, you can consider the results of other Stanford researchers. They developed the first software simulation for the entire biological organization. At present it is only a single-celled bacterium, but the model has involved 525 genes and 28 kinds of molecular interaction, so that we can observe and analyze the most basic cell building units. Computer biology introduces large data into computerized experiments that can model and test solutions to the worst problems of life: like cancer and Alzheimer's disease.

We are just at the beginning of this trend. When people start volunteering to provide their own data--think of social networks--they will help everyone from law enforcement to human resources to build statistical models to make it easier to predict future behavior. The next time you send a tweet, remember that you are increasing the amount of data for the Data Warehouse (scientists at Cornell University are already studying Twitter usage) and then think about how companies will use these big data in the future.

(Responsible editor: The good of the Legacy)