How To Do Data Mining

For the traditional media, if we want to realize the digital transformation, we must establish the Intelligent Information Service platform based on the large data technology. So what is the big data? What are the limitations of traditional media entering big data? And what can be broken? 　　In this regard, the State Administration Institute of Social and Cultural Research Department of senior economist, management Doctor Guo Kanzhong did an analysis. 2013, is a big data year, big data is bringing revolutionary change to traditional media, although traditional media also take various ways to actively deal with the challenge of large data, but due to large data ...

Whether it's your intention or not, data is making your life notes every day: Where have you been? What do you see? What did you do? Your personality preferences? Contact who? How are you feeling? ...... These are all available from your Web browsing records, transactions, mobile phone records, Unicom video records, email records, social networking records, and so on, and every "footprint" on your network is recorded and stored in the form of data that is accurate, timely and exhaustive. 　　With this data, you can spell a "you" that you know better than yourself. So by a ...

Generally speaking of large data technology, there is no doubt that the large data definition of 4V, as well as structured, unstructured data processing, data mining, and high-performance parallel computing. 　　But when it comes to big data applications, it usually seems lean, why? Because we are all thinking about some application of "point", each one of the number of the application case, is not all appear to be more independent, in the business belongs to a certain point? If we can abstract a large class of data applications, or even a segment of an industry, then we are no longer confused and ...

"Editor's note" This article is reproduced in the public number "Fu Zhihua", the author has been Tencent social networking business Group data center director and Tencent Data Association president.     Before Tencent, he worked in the market consulting, Analysys International, China Internet Association, and served as vice president of Dcci Internet Data Center. The internet industry in the accumulation of large data and applications to Baidu, Tencent and Alibaba is the most noteworthy. Baidu, Tencent and Alibaba in the application of large data although there is a common place, but due to their respective data sources and ...

Following the letter CEO Gu Chenwei, the letter was dug Finance acquisition, the following is his speech after the CEO dug money: the end of 2011, Amoeba capital began to contact with the letter, the official investment in early 2012. Amoeba's three partners in Beijing, Hong Kong and Hangzhou, respectively, when they are in the layout of financial big data, the cloth in the letter. Previously, Credit Suisse helped financial and retail organizations to do digital business intelligence services. I am a financial background, I work in Capital One for 8 years and then general manager of business decision-making at Standard Chartered Bank (Hong Kong) Anti-fraud and ...

Tencent's earnings for the second quarter of 2012 showed net advertising revenue of 879.7 million yuan (139.1 million U.S. dollars), up 62.9% from the previous quarter, and 71.7% per cent over the same period last year. This is the first time in the last quarter Tencent network advertising revenue over Sina, Sohu became the domestic leader, Tencent network media revenue once again broken record. Tencent Company Network Media Business Group president, Group senior executive vice President Lau finally breathed a sigh of relief. Tencent achieved strong year-on-year revenue growth in the second quarter of 2012, mainly because of its contribution to the new platform and its main advertising industry ...

Recently, I returned to attend some university seminars, government departments of the symposium and the training activities of enterprises, the theme is large data, nowadays, the major domestic newspapers and magazines are also discussing this hot topic, but I found that the Chinese society on the "big data" concept still some inaccurate understanding or even the concept of misunderstanding, In particular, the strategic significance of large data at the national level is underestimated and needs to be deepened. Small data to large data "big data" is a new wave of technology, but also gradually formed a historical phenomenon, its specific refers to the increase in the amount of information storage, the human in practice gradually recognized ...

Intermediary transaction SEO diagnosis Taobao guest Cloud host technical Hall The purpose of the data Warehouse is to build an integrated data environment for analysis, and to provide decision support for enterprises (Decision Support). In fact, the data warehouse itself does not "produce" any data, at the same time does not need to "consume" any data, data from the outside, and open to external applications, which is why called "Warehouse", not called "factory" reasons. Therefore, the basic structure of the data warehouse mainly contains the data inflow and outflow process, can be divided into three layers-source data ...

Large data has penetrated into every industry and business functional area today, becoming an important production factor. The excavation and application of massive data indicates a new wave of productivity growth and consumer surplus. October 28, 2013, three Xinjiang terrorists driving a jeep to the Tiananmen Square, the terrorists were all burned on the spot, but the police spent only more than 10 hours to seize 5 associates. It's a state secret how quickly the police lock down suspects, but from the telltale signs of the media, we can still find ubiquitous surveillance video and telecom tracking ...

What is the most interesting word in the business world of the 2013? is undoubtedly "big data". All walks of life, every corner has a large number of traces: electric business platform, shopping malls, banks, hotels ... Even if you stay indoors at home, it will also provide insight into your needs and timely delivery of the information, goods or services you want. This is almost exactly the same as Shiji's expectation. In July 2012, the American information management expert, a former Data Warehouse programmer, published a book "Big Data: The Coming Data Revolution" ("Big Data") to remind big ...

July 13, the reporter learned from Sina, Sina Weibo new advertising form is about to launch, but the outside world is not clear about its specific appearance. This is the next April, Sina Weibo announced advertising platform, its new exploration in advertising mode. In the past two years, with Weibo, Sina, the veteran Internet company, has soared to about 130 dollars. However, as if sitting on a "roller coaster", Sina now back to the difficult point, the share price fell to two years ago level, fell to more than 40 U.S. dollars. But, unlike two years ago, Sina was anxious to explore the next generation of strategic products. Now, the new ...

Personalized recommendations are often misunderstood as the two concepts of market segmentation and precision marketing. Although there is some connection between them, they are far different in essence. This article not only clearly describes the personalized recommendation technology, but also lists the top ten challenges it faces. Many people know personal recommendation, there are many misunderstandings on the understanding. Some people think that personalized recommendation is the market segments and precision marketing, but in fact the market segments and precision marketing tend to be divided into potential users of many groups, which is compared with the statistics based on the overall compared to have made great strides, but Distance "tailor-made for each user ...

Mobile Internet and daily life are inseparable, people are making data anytime, anywhere, access to data. All the data problems seem to be no longer a problem on the current mobile Internet. What we need to face is how to find the information that is truly useful to ourselves in the sea of ​​data. Big data generated on the phone needs to be reorganized before it can reveal useful information. Of course, big data is not a problem in itself. Anytime, anywhere channels are available to receive massive amounts of data; even we personally produce very large amounts of data every day, so how to make piles of data have their worth ...

In recent years, the term Netflix is ​​estimated to make everyone's ears sound cocooned. Many cases of big data in the field of film and television have also come into layers, making Epagogix, a British script semantic analysis company, a hot topic. The combination of the mysterious big data and the mysterious film industry has become even more illusory as if you were sneezing on social media today and are worrying about whether you have a cold and can make it tomorrow A bird flu thematic horror film, let you move. In fact, people in the video industry know that the so-called "card house" type ...

In January 2014, Aliyun opened up its ODPS service to open beta. In April 2014, all contestants of the Alibaba big data contest will commission and test the algorithm on the ODPS platform. In the same month, ODPS will also open more advanced functions into the open beta. InfoQ Chinese Station recently conducted an interview with Xu Changliang, the technical leader of the ODPS platform, and exchanged such topics as the vision, technology implementation and implementation difficulties of ODPS. InfoQ: Let's talk about the current situation of ODPS. What can this product do? Xu Changliang: ODPS is officially in 2011 ...

The large data age presents new challenges to human data-mastering capabilities and provides unprecedented space and potential for people to gain deeper and more comprehensive insights. Gari Kim, a sociology professor at Harvard University, said: "This is a revolution, and huge data resources have led to a process of quantification in all areas, whether academia, business or government." "The ecological environment of the big data industry is accelerating. "Li Xiaohua, Vice general manager of the Internet application Industry Department of the same company," in the theme of "Embrace Big data win a new era" 2013 years ...

The advent of the Big Data era has posed a new challenge to human data control capabilities, but it has also provided unprecedented space and potential for people to gain deeper and comprehensive insights. Gary King, a professor of sociology at Harvard University, said: "This is a revolution, a huge data source that has led to a process of quantification in all fields, beginning in all fields, academically, business or government." "Big Data The ecological environment of the industry is accelerating. "Mr. Li Xiaohua, vice general manager of the Internet of Things Industry Co., Ltd. of Tongfang Co., Ltd., is under the theme of" Embracing the Number ...

Large data will challenge the enterprise's storage architecture and data center infrastructure, and will trigger the ripple effect of cloud computing, data Warehouse, data mining, business intelligence and so on. In 2011, companies will use more TB (1TB=1000GB) Datasets for business intelligence and Business Analytics, and by 2020 global data usage is expected to rise 44 times-fold to 35.2ZB (1zb=10 billion TB). The challenges of large data for the vast number of data information, how the complex application of these data into the current data warehousing, business intelligence and data analysis technology ...

The author of this article, Shesu is Admaster data mining director, Cloud computing practitioners, 10 data warehousing and data mining consulting experience, is focused on the distributed platform of mass data mining and machine learning. The following is the full text of the article: with the Internet, mobile Internet and the development of things, no one can deny that we have effectively ushered in a massive data era, IDC, a data-research firm, expects 2011 data to reach 1.8 trillion GB, and the analysis of these massive data has become a very important and urgent requirement. As an Internet number ...

Many companies have used public cloud computing as a collaborative technology in data centers, but there is still a part of the private cloud computing as a collaborative technology, of course, that is not all. When we build a hybrid cloud, we should know which application is based on cloud computing resources and how it is based on cloud computing resources. It is clear that mapping the right application to the mixed cloud of the enterprise will tell you how much value it can recover from the public cloud. The following are the categories that most enterprise IT applications can classify • Transaction Business network Applications ...