Latest Technology In 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 ...

The purpose of data mining is to find more quality users from the data. Next, we continue to explore the model of the guidance data mining method. What is a guided data mining method model and how data mining builds the model. In building a guided data mining model, the first step is to understand and define the target variables that the model attempts to estimate. A typical case, two-dollar response model, such as selecting a customer model for direct mailing and e-mail marketing campaigns. The build of the model selects historical customer data that responds to similar activities in the past. The purpose of guiding data mining is to find more similar ...

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 ...

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 ..."

The domestic large data development direction, the operator receives the very strong attention. Recently, according to the industry to reporters, the operators in the past year not only the mouth of the "big data" heated discussion, the actual action is very fast. 　　So, at these three levels, what is the location of the operator's goal? When the IT Times reporter walks into the office of the head of data operations at an operator's provincial company, his desk is in the Big Data Age book. Speaking of goals, he opened the book to reporters to show a lot of careful annotation: "Only to reach the second, third level, that is, master the idea of large data management mode, to meet ..."

From 2008 only 60 people attended the technical salon to the present thousands of people technical feast, as the industry has a very practical value of the professional Exchange platform, has successfully held the seven China large Data technology conference faithfully portrayed a large data field in the technical hot spot, precipitated the industry's actual combat experience, witnessed the development and evolution of the whole large data ecological circle technology. December 12-14th, hosted by the China Computer Society (CCF), CCF large data expert committee, the Institute of Computing Technology of the Chinese Academy of Sciences and CSDN co-organized the 2014 China Large Data Technology conference (Big&n ...

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 ...

Both in the public and private sectors, organizations and businesses are collecting and analyzing "big data" to more accurately forecast market trends and make smarter decisions to ensure success. They classify large amounts of data from a variety of sources, including weather forecasts, economic reports, forums, news sites, social networks, wikis, tweets and blogs, and then analyze the data further to understand their customers, operations, and competitors from a new perspective. Some companies even use predictive analysis to determine what they might encounter in the next one months, year or even five years.

In January, all the common top-level domains (. com/.net/.org, etc.) in mainland China were resolved, and all related domain names were directed to an IP address (65.49.2.178) located in the United States, resulting in tens of millions of of Internet users being unable to access the site within hours. April, OpenSSL "Heart Bleed (Heartbleed)" significant security vulnerabilities were exposed, which allowed hackers to read the server system's running memory. There are people in the industry to use this loophole in a well-known electric website test, successful access to a number of users of the account and password, and successfully published ...

The big data boom has sparked a major change in thinking, production and lifestyles, and it can be said that a new era has been opened up. For the financial industry with natural data attribute, on the one hand, large data can provide sufficient information support for the operation and management of financial institutions. On the other hand, large data-breeding new financial forms pose serious challenges to traditional financial institutions. What the financial institutions will do in this great social revolution is very much expected. 　　To this end, The Economist has invited a number of senior managers of financial institutions as well as industry experts to explore the financial sector in the big data era of change and development. ...