Data Science Approach

The sharp pain of the Wenchuan earthquake just calmed down, the earthquake again hit Sichuan Yaan. "I thought I was going to die," said a netizen who was nicknamed "Meaningless_" on April 20 morning 8:8. The epicenter must be in Lushan County! My house is broken! "This Weibo is the earliest news from the quake zone. Subsequently, official news: April 20 8:02 A.M., Sichuan province Yaan Lushan County occurred 7 magnitude earthquake, focal depth 13 kilometers, the degree felt strongly. Earthquake Lushan County and surrounding area communication, power once large area interruption. A few 10 minutes ...

VP of IBM, Greater China market, brand PR and public relations general manager three months ago, I made a very small circle of marketing attempts in Shanghai, and invited 15 customers in 6 industries. Some of these customers and IBM have millions of of dollars of business transactions each year. Through communication, we agree that companies must put aside their own schedules and ask what their customers want first. In this process, marketing is an art, to achieve no trace of snow, so that customers in business dealings with the time is particularly comfortable. If the enterprise really calm down to understand its customers, and then tailored to its plan, then ...

Securities Times Network (www.stcn.com) September 24 September 17, in the "practice of China Dream-into the listed companies" series of activities, the securities Times network of journalists and investors into the technology (002681). In this event, smart watches have become the focus of investors ' attention. Shao, Chairman of Science and Technology, introduced the price and capacity preparation of smart watches, and answered investors ' doubts about the company's transition from manufacturing to consumer electronics and the company's ODM foundry business. Financial profit treasure, the current deposit rate increased by 1000 ...

The world-wide information revolution has caused almost every industry to face big data problems. In order to effectively deal with the all-round challenges brought about by large data and make full use of this unprecedented opportunity, the industry, the scientific and technological circles at home and abroad and even governments are actively planning and formulating strategic plans. March 2012, the United States government announced a 200 million dollar "big data Research and development plan", the study of large data to rise to the national will. The European Union has also introduced similar initiatives. In this context, the Chinese Computer Society in October 2012 set up the CCF large data committee of experts, ...

Recently, the Keno Technology (7.14,0.65,10.02%) (600398) in 2010 reported that every 10 shares sent 1 yuan distribution plan. However, shareholders do not "pay" for the "shabby" distribution.　　Compared with the company's 716 million-dollar profit last year, and the company's soaring performance last year, the distribution plan is clearly too stingy. For the sake of safeguarding the interests of the majority of shareholders, two of the science and Technology of the natural shareholders of the project to launch the recruitment action, the company on the basis of the original plan, to add a "10 to send red shares 10 shares" ...

Big data goes from "concept" to "value", based on large data recommendations and forecasts gradually popular, data science will rise, security and privacy become an important issue, the large data industry into a strategic industry-this is the Chinese Computer Society large Data Expert committee on the "Big Data" 2014 Ten trends in the prediction of the content. In this forecast, it also includes data commercialization and data sharing alliance, large data ecological environment development and so on. At the same time, the large data experts committee predicts that 2014, the Internet and E-commerce, Finance (stock market forecasts, financial Analysis), health care (epidemiological monitoring and forecasting ...).

In the internet age, large data is hot, many people must pro data, but can really say that the big data is not much, not to mention how to use large data to dig out the great business value. 　　How do you define large data? What are the characteristics of large data? This paper aims to clarify the concept of large data, illustrate the application of large data and explore the future development of large data. 　　Q1: Is big Data a commercial hype? The industry's definition of large data is 4 "V": Large volume (Volume), multiple species (produced), fast (velocity) ...

Big data goes from "concept" to "value", based on large data recommendations and forecasts gradually popular, data science will rise, security and privacy become an important issue, the large data industry into a strategic industry-this is the Chinese Computer Society large Data Expert committee on the "Big Data" 2014 Ten trends in the prediction of the content. In this forecast, it also includes data commercialization and data sharing alliance, large data ecological environment development and so on. At the same time, the large data experts committee predicts that 2014, the Internet and E-commerce, Finance (stock market forecasts, financial Analysis), health care (epidemiological monitoring and forecasting ...).

Victor Maire-Schoenberg, one of the authors of the Great Data Age: A major change in life, work and thinking, has said that, as telescopes allow humans to perceive the universe, microscopes allow humans to observe microbes, and big data opens up a major transformation of the times. Large data, the most fashionable word in the IT field, is simply the ability to quickly obtain value information from a variety of data. The United States was the first country to discover and use the value of large data science. March 2012, the Obama administration announced the investment of 200 million dollars to pull big data related industry development, will "big data ...

Compared with the traditional data, the resource characteristics of large data are especially prominent, which becomes the basis of developing large data. In the process of knowledge evolution, data is not only the foundation of information, knowledge and wisdom, but also runs through it. Entering the information age, the biggest problem is not lack of information, but the problem of Information Island, only to achieve large data sharing and standardized management, to solve this problem. Once upon a time, data was a counting tool for humans to identify the environment, and the focus on its accuracy seemed limited to scientific research. Enter the information age, we all obviously feel and letter ...