Applied 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 ...

Intermediary transaction SEO diagnosis Taobao guest Cloud host technology Hall Wang Green Park Cammeying Guangzhou PLA Institute of Physical Education 510502 Abstract: This paper reveals a way for librarians to carry out information service in the future Digital Library, discusses the basic principles and methods of data mining and web mining, and emphasizes that librarians should master data digging  The need to dig this new technology. Keywords: Data mining, WEB, INTERNET, information services, books ...

Data mining, which mainly solves four kinds of problems, is a very clear definition of several kinds of problems that it can solve. This is a high degree of induction, and the application of data mining is a process to deduce these types of problems. So let's look at how the four types of problems it solves are defined: 1, classification problem classification problem is a predictive problem, but it is different from the general prediction problem, but the difference is that the results of its predictions are categories (such as a, B, C three) rather than a specific value (such as 55, 65, 75 ...). ...)。 ...

Recently, the wave group and domestic financial industry software solutions manufacturers South-day information issued by the wave of clouds of cloud finance large data machine, mainly used in the financial industry large data mining and analysis. The introduction of the wave of clouds of cloud finance large data integration machine, with flexible expansion, that is, the use of pay, safe and reliable characteristics. 　　Wave group Big Data product Department general manager Wang Feng said, the tide big Data one machine future also will extend to the finance other domain. Tide clouds financial large data All-in-one machine has applied many based on the Tide shuttle K1 Host Security technology, to ensure that the product conforms to national information security grade ...

The connection, in fact, is very simple, is a few things or events are often at the same time, "Beer + diapers" is a very typical two related products. The so-called association, which reflects the knowledge of dependencies or associations between an event and other events. When we look up English literature, we can find that there are two English words that can describe the meaning of association. The first is correlation relevance, and the second is correlation association, both of which can be used to describe the degree of association between events. The former is mainly used in Internet content and documents, such as search engine algorithm Chinese file ...

Since 2012, large numbers have become a word from a concept and become more noticeable as time goes by, and by the year 2014, big data is clearly the star of attention in the IT circle. The "4 V", summarized by the renowned research institute IDC, can well define large data concepts, 4V respectively capacity, type, speed, and value (volume, produced, velocity, and values). 　　Large data is a new technical framework for acquiring value from large capacity data through high-speed capture, discovery and analysis. Each line ...

Innovative report from the dean of top research institutes when all our actions and our lives can be "data", the company that holds the data is like owning a rich gold mountain. 　　As Victor Maire-Schoenberg says, the big data age is "the future that has happened," and in this already-occurring future, there is no bystander. December 19, 2013, by the boutique media "digital Business Times" sponsored by the "Great data creation of the era of Subversion" 2013 China Summit Forum in Beijing to make a grand Holiday Crowne Plaza Hotel ...

NetEase Finance November 9 News November 6, Western Mining (601168) holding shareholder Western Mining Group Co., Ltd. signed an agreement with the relevant parties to become a medium lead-zinc mine huidong lead and zinc mine restructuring of the party and equity transfer of the transferee, and to 2.176 billion yuan to the price, the reformed Huidong lead-zinc mine 80% Equity.　　And how to solve the West Mining group and the western Industry competition will be discussed separately. This February, Huidong lead and zinc mine state-owned property rights and joint-stock Reform leadership group issued "Sichuan provincial capital East lead-zinc mine 80% state-owned property transfer notice", Public Solicitation Agreement ...

Data mining is the process of discovering and interpreting knowledge (or patterns) from the data using business knowledge, which is a new knowledge created in natural or artificial form. The current form of data mining was born in the field of practice in the 20th century http://www.aliyun.com/zixun/aggregation/16333.html ">90 era, is a form of business analysis that is supported by the development of an integrated data mining algorithm platform. Perhaps because data mining stems from practice rather than theory, in ...