The Data Mine

In the "Up" section of the big data on Silicon Valley's observations (http://www.china-cloud.com/yunjishu/shujuzhongxin/20141208_44107.html?1418016591), I have basically combed through a relatively complete shape of the big data growth situation in the Silicon Valley region. A friend saw the "next" after the notice on the micro-blog to give me a message, I heard that the next chapter to introduce some of the company's large data department, ask if you can add a Google, especially Google ...

Big data is no longer a topic for scientists, and many local governments in China have taken it as an important means of economic transformation, and have even used the large data industry as a strategic pillar industry to build data centers as urban development targets. According to the incomplete statistics of the international financial news, Qinhuangdao in Hebei province, the new area of Guizhou, Chongqing, the Two rivers, Lanzhou new district, Hangzhou, Inner Mongolia, Hohhot, and so on, have put forward to gather resources, building large data industry agglomeration areas, including the new zone, Chongqing Liang Jiang New zone, Lanzhou new zone, but also a large data industry ...

October 18, China Cloud Mobile internet Innovation Grand Prix 2013 (ICOME2013)-"Play Big Data" award ceremony in the Beijing University of Aeronautics and Astronautics Report Hall. In the subsequent "Big Data era to bring innovation and entrepreneurial opportunities" Round Table forum, Tian chairman of the broadband Capital and Beijing Aerospace University president Huaijin Peng, China United Network Communications Co., Ltd. Vice President Zhang Fan, Ufida Co., Ltd. Senior vice President Zheng Yulin, Baidu Large data chief architect Mr. Lin Shi-ding, Tian Yun Rong Chuang Data Technology (Beijing) Co., Ltd. Chief ...

On the morning of 26th, Mr. Wugansha, chief engineer of the Intel China Research Institute, delivered a speech on the theme of "Big Data development: Seeing yourself, seeing the world, seeing sentient beings". In the speech, Wugansha pointed out that the next wave of the big science and technology revolution has been ready, large data models can be divided into three categories, the first category to see themselves, as Socrates said you have to know yourself. The second level is to see heaven and earth, you have to pay attention to yourself, to the world between heaven and earth, to understand the community and social behavior. The third is to see sentient beings, the so-called sentient beings are heaven and earth, nature, all things, the so-called all sentient beings have Buddha nature, this is the day ...

At present, there are many talk about large data at home and abroad, mostly talk about the operation level, or from the service side, the service side raised more. I want to communicate with you the problem is as a variety of enterprises, especially the client side of the enterprise, the big data and what their relationship, or as the enterprise side how to participate, this is the biggest problem facing the enterprise now. The main answer to this question is that large data should start small. Because now many enterprises are facing the biggest problem is not how to use large data, but some of the internal small data integration problems, or small data are not good in the case of how to use ...

The development of any new technology will undergo a process from the public to the final universal application. Large data technology as a new data processing technology, after nearly a decade of development, has just begun to be applied in various industries. But from the media and public view, the big data technology always has the mysterious color, appears to have the magical power which digs the wealth and forecasts the future. Widely circulated large data applications include the target supermarket based on the girl's shopping history to determine whether pregnancy, credit card companies based on the user in different time and space shopping behavior to predict the customer's next purchase behavior, and so on. Large Data Technology ...

This article will talk about the application of data mining in medicine, hope to be interested in the friends have inspiration, but also engaged in other industries data mining applications colleagues reference. Data mining, also known as Knowledge Discovery (KDD), is the process of extracting potential and valuable knowledge from a large number of data. The pattern explored by data mining is an objective, but hidden knowledge that is not found in data. For example, data mining can directly excavate the high disease population, discover the unknown link between the disease and the symptom, explore the influence relationship between the test indexes and the potential influence between the test index and the disease, to the unknown ...

"Don't be misled by big data, large data, which is more about data mining than it is about big numbers," he said. "In the tenth session of the National Information Technology Expert Forum, the Chinese Academy of Engineering, China Internet Association Director Hequan pointed out that large data needs more emphasis on data mining, and the existing technology applications, talent, security and privacy issues, the most critical is to have a national large data strategy, Make it an effective way to change the mode of economic growth. The value of large data like the Shari NBA from the 80 's the beginning of the players in the game ...

Big data is no longer a topic for scientists, and many local governments in China have taken it as an important means of economic transformation, and have even used the large data industry as a strategic pillar industry to build data centers as urban development targets. According to the "International financial news" incomplete statistics, Hebei Qinhuangdao, Guizhou's new district, Chongqing, the Two rivers, Lanzhou new area, Hangzhou, Inner Mongolia, Hohhot, and so on, have put forward to gather resources, building large data industry agglomeration areas, including the new zone, Chongqing Liang Jiang New zone, Lanzhou new zone, but also the large data industry as a branch of the city.

Today, almost no one will doubt the value of large data, people are more concerned about how to really put large data into the application, really play its value. But despite the industry's exploration, it is still in its infancy to objectively see the overall development of large data. In other words, the recognition of large data concepts does not mean that large data can be exploited. Especially in China, although the large data has a good industrial base and development prospects, but the low level of data resources, the protection of data assets and other practical problems are currently facing the main challenges. How to deal with these challenges ...

With the current network language, I am a liberal arts man. Mo Yan recently said in his acceptance of the Nobel Prize that literature is not science and literature is useless. I would like to explain that literature is not equal to Uvenko, liberal arts are more extensive, can be further divided into the humanities and social sciences. Social science research has always been dealing with data, of course, used to be small data, the number of low, slow, time-consuming, but good quality, but also provincial resources, in line with the current green concept. On the basis of my experience in studying small data for many years, I am talking about some of the views on large data, which is also a consensus of the social sciences. Readers read ...

"Don't be misled by big data, large data, which is more about data mining than it is about big numbers," he said. "In the tenth session of the National Information Technology Expert Forum, the Chinese Academy of Engineering, China Internet Association Director Hequan pointed out that large data needs more emphasis on data mining, and the existing technology applications, talent, security and privacy issues, the most critical is to have a national large data strategy, Make it an effective way to change the mode of economic growth. The value of large data like the Shari NBA from the 80 's the beginning of the players in the game ...

Internet giants Google and Facebook have achieved huge value by managing and analyzing big data, prompting CIOs to ask whether emerging technologies can create brilliant results within their own businesses. The idea is partly encouraged by industry analysts predicting that big data will grow at breakneck speed. Wikibon predicts that by 2015 the big data market will jump from $5 billion trillion in 2012 to more than $30 billion trillion, up to $53.4 billion in 2017 (where you can ...).

At present, there are many talk about large data at home and abroad, mostly talk about the operation level, or from the service side, the service side raised more. I want to communicate with you the problem is as a variety of enterprises, especially the client side of the enterprise, the big data and what their relationship, or as the enterprise side how to participate, this is the biggest problem facing the enterprise now. The main answer to this question is that large data should start small. Because now many enterprises are facing the biggest problem is not how to use large data, but some of the internal small data integration problems, or small data are not good in the case of how to use ...

In Hong Kong, there is a Japanese store. The store swept through the territory in a very short time and opened several chain stores. Many people know that the seafood is very fresh and affordable, only 70 percent of the price. I have also asked the chef friend, what can be done so good business? The chef mysteriously asked me if you saw the camera on each table. That's our secret weapon. "It turns out that the seafood store goes through the camera every day to check the order of the diners, the ordering of the meal, and the weight of the leftovers." Through this inventory, the restaurant's owner can accurately grasp the consumer's preferences, ...

China's IDC Circle July 15 reported: The accompanying large data boom, is the industry-wide focus on data centers. Recently, Korea has had a major breakthrough in the field of data center construction. The South Korean government has announced that it will build an Open data center where citizens, businesses and groups can refine and analyze large data. Globally, countries are recount in building large data centers. The experience and lessons of data center construction abroad are of great significance for our country in the initial stage. Planning first to avoid disorderly development of China's information construction is often subject to one or two new ...

Big data is no longer a topic for scientists, and many local governments in China have taken it as an important means of economic transformation, and have even used the large data industry as a strategic pillar industry to build data centers as urban development targets. According to the "International financial news" incomplete statistics, Hebei Qinhuangdao, Guizhou's new district, Chongqing, the Two rivers, Lanzhou new area, Hangzhou, Inner Mongolia, Hohhot, and so on, have put forward to gather resources, building large data industry agglomeration areas, including the new zone, Chongqing Liang Jiang New zone, Lanzhou new zone, but also the large data industry as a branch of the city.

Data produced by Machine-to-machine in 2005 accounted for 11% of the world's total data, according to IDC, which is expected to increase to 42% by 2020. This proportion shows that the rapid development of the Internet of Things has also produced a large number of data, how to properly handle and reasonably use these massive data is the key to the next development of the Internet of things. 　　"In the recent 2013 (fourth session) China Internet of Things meeting held by China Electronic Society, academician Hequan of Chinese Academy of Engineering strongly appealed." However, whether the big data, or the Internet of things, in our country are in the initial stage, as for both ...

Large data wave sweeping the world, the rise of large data age in recent years, with the Internet, cloud computing, things such as the rapid development of information technology, a new wave of technological revolution is sweeping the world with an irresistible posture, and quietly changing the public decision-making, business management, marketing and life aspects, 　　As a new disruptive technology change, this is the hottest topic at the moment-big data. The so-called "big Data" has two aspects of the connotation-mass and unstructured, its characteristics are summed up to 4 V, that is volume,variety ...

The 2nd Session of the "2012 China Data Center Industry Development Conference" was held in Beijing on the 20,112-year 17th, in the afternoon of cloud computing and the flexible and efficient IT Infrastructure forum, Dr. Yianyang, general manager of the China National Securities Information Technology Department, made a keynote speech on "The evolution of enterprise-class data centers and the application of securities industry data". The following is the full text of the speech. Dr. Yianyang, general manager of China National Securities Information Technology Department Yianyang: Good afternoon. I come from the financial industry, I talk about cloud computing from the user's point of view, then I push us to cloud computing, especially the big numbers ...