Social Data Mining

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 ...

In recent years, with the emergence of new forms of information, represented by social networking sites, location-based services, and the rapid development of cloud computing, mobile and IoT technologies, ubiquitous mobile, wireless sensors and other devices are generating data at all times, Hundreds of millions of users of Internet services are always generating data interaction, the big Data era has come. In the present, large data is hot, whether it is business or individuals are talking about or engaged in large data-related topics and business, we create large data is also surrounded by the big data age. Although the market prospect of big data makes people ...

Keynote speaker: Xionghui Moderator: Carey: Zhongguancun Large Data Industry Alliance Mr. Xionghui is the associate dean of the Department of Management Science and information systems at Rutgers-New Jersey State University in the United States, a tenured professor. The main areas of research include: data mining, large data, business intelligence, mobile computing, and information security. Obtained the highest academic award at the University of Rochester in 2009. He was also invited to participate in the organization of international top-level meetings (such as KDD, ICDM,ICML,ICDE and SDM) and as a member/chair of the International Conference Organizing Committee. He is also currently serving as IEEE ...

Keynote speaker: Xionghui Moderator: Carey: Zhongguancun Large Data Industry Alliance Mr. Xionghui is the associate dean of the Department of Management Science and information systems at Rutgers-New Jersey State University in the United States, a tenured professor. The main areas of research include: data mining, large data, business intelligence, mobile computing, and information security. Obtained the highest academic award at the University of Rochester in 2009. He was also invited to participate in the organization of international top-level meetings (such as KDD, ICDM,ICML,ICDE and SDM) and as a member/chair of the International Conference Organizing Committee. He is also currently serving as IEEE ...

(Editor-in-Chief: Solemn choreographer: Kang Jiach Cong Zhang Zixian camera: Zhao Wei Air Zhang Ming 刘勋) Hello, Welcome to "economic half-hour", the National Bureau of Statistics released monthly economic data again sparked concern about prices. CPI, the consumer price index, has reached 4.4% per cent monthly, the highest in two years. Rising inflation pressures have not only raised prices, but also investment and commodity markets such as gold, jade and non-ferrous metals. Mining investment, which has been dormant for some time, is now booming, and there have been mining surges in some places.

After the arrogant data has entered the people's view, it gradually becomes the focus that people pay attention to generally. Large data is the PB era of science, in essence, the challenge of large data is the PB era of science challenges, but also the cognitive science including data mining challenges. 　　So what about data mining in the big data age? In modern times, people often say that large data mainly includes three sources: the first is the large data of nature, the natural environment on Earth, very big. The second is the big data of life. The third and most important is the social data that people care about. These data are common ...

Twitter, on the other side of the ocean, plunged into slow business growth, the moment of lack of innovation, the listing of Sina Weibo has been the launch of a series of "new products", such as the opening of micro-blog payment, the introduction of micro-blog games, micro-blog reviews and rumors of the media program, but look at these products, including micro-bo payment relies on Ali Alipay Micro-Bo game derived from the previous micro-games, only micro-blog reviews, can be called a new product (since the media plan has not been announced, here for the time being). From the product design level, micro-blog reviews and other vertical categories of comments on the site is not much different, but from the data and biography ...

Strong "micro-trust", social entrepreneurship in the end there is no chance? If the answer is no, many entrepreneurs will not be reconciled. From happy net to Micro Bo, from micro-bo to micro-letter, when the hot social products, the ups and downs, how many lonely there is a big chance. If the answer is yes, then the question is, where is the opportunity? Is it a vertical social field? Is it the use of new media? Or a new form? In search of this answer, NetEase tech editors have spent two months investigating the early startups and startups in the mobile social arena, interviewing more than 20 CEOs and investing ...

These individual-level behaviors embedded in the original social media data represent customer preferences, purchase histories, significant life events, moods, personalities, and other attributes that are obtained through text mining, which can be stored in social media data marts. The social networking pioneers we know today came in the late the 1960s, when the bulletin board was one of the first interactive message sharing platforms. Later (in the 1990s, when Craigslist and AOL entered the spotlight), the social revolution was the basis for rapid growth. Social networking ...

December 2014 12-14th, hosted by the China Computer Society (CCF), CCF large data Expert committee, the Chinese Academy of Sciences and CSDN co-organizer of the 2014 China Large Data Technology conference (DA data Marvell Conference 2014,BDTC 2014 will be opened at Crowne Plaza Hotel, New Yunnan, Beijing. The three-day conference aims to promote the development of large data technology in the industry, and to set up "large data Infrastructure" and "large data ..."