Top Data Mining Software

The following small series summarizes 10 best data mining tools for everyone, which can help you analyze big data from various angles and make correct business decisions through data.

I'm a novice in data mining and machine learning, starting with Amazon last July, and because of the need for passive contact with work that has never been contacted before and what is needed to predict machine learning. Later, to Taobao, their own initiative to do a few months and user address related data mining work, there are some superficial experience. 　　Anyway, welcome advice and discussion. In addition, note that the title of this article imitates an American drama "Game of Thrones: The Song of Ice and Fire". In the world of data, we see a lot of cattle, very strong ...

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 ...

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 ...

The concept of large data, for domestic enterprises may be slightly unfamiliar, the mainland is currently engaged in this area of small enterprises. But in foreign countries, big data is seen by technology companies as another big business opportunity after cloud computing, with a large number of well-known companies, including Microsoft, Google, Amazon and Microsoft, that have nuggets in the market. In addition, many start-ups are also starting to join the big-data gold rush, an area that has become a real Red sea. In this paper, the author of the world today in the large data field of the most powerful enterprises, some of them are computers or the Internet field of the Giants, there are ...

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 ...

July 24, 2012, the theme of the "big-core Data Smart big opportunity" of the Intel Large Data Forum held in Beijing. At the meeting, 周震刚, a senior research manager at IDC's China Enterprise-level systems and software Research Department, shared a large data market observation. 周震刚 周震刚, senior research manager at IDC's China Enterprise-level systems and software Research department, says IDC has been taking the four themes of big data, cloud and mobile and social networking as the main direction for future it. IDC has been doing research on large data for about three or four years, and IDC China has been doing a thorough study of the big data market since last year ...

In the interview of Simin data Liu Chengzhong, he said that the current large data domain enterprise-level market rely on technology monopoly to obtain high profits of the game is outdated, the cost of technology will continue to decline, this is the general trend, the market giant will appear in the technology is very good, but better service companies. From the user's point of view, the user's first concern is how to make the data value, then the solution depends on what kind of technology, whether it can quickly apply, whether it can adapt to the next possible expansion, relative technology, 1th is more difficult. In fact, today's corporate customers, particularly in the field of large data technology, ...

Big data has grown rapidly in all walks of life, and many organizations have been forced to look for new and creative ways to manage and control such a large amount of data, not only to manage and control data, but to analyze and tap the value to facilitate business development. Looking at big data, there have been a lot of disruptive technologies in the past few years, such as Hadoop, Mongdb, Spark, Impala, etc., and understanding these cutting-edge technologies will also help you better grasp the trend of large data development. It is true that in order to understand something, one must first understand the person concerned with the thing. So, ...

The time is 1948, the location is Northeast China. Liaohsi into the critical phase. For the commander of the four field army Lin Biao, the most important goal after the Jinzhou is to defeat the Kuomintang new six troops. The method used by Lin Biao is to listen to the "intelligence report" every day, and the officers on duty should read out the situation and seizure of the troops. It's almost uniform data, and it's boring. Until one day, Lin Biao suddenly discovered that in a two-armed encounter in the Hu Shack, the ratio of the spear to the spear was slightly higher than the other battles, and the proportion of the car and the cart was slightly higher than the other battles.