Best 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 ...

According to foreign media reports, as a data scientist at Greylock of the Silicon Valley venture company, DJ Patil (DJ Patil) is aware of how the deluge of data has changed the way VCs operate. 　　The former chief scientist at LinkedIn said the venture is still a courageous and intuitive business, but data-mining technology can help VCs become more efficient. on how to use large data to capture the next big trend, Patil received an interview with the Wall Street Journal.

According to foreign http://www.aliyun.com/zixun/aggregation/31646.html "> media reports, as a data scientist for the Silicon Valley venture company Greylock, DJ Patil (DJ Patil) is aware of how flood data can change the way VCs operate. The former chief scientist at LinkedIn said the venture is still a business of courage and intuition, but data mining can help ...

Absrtact: In order to meet the coming Big Data era, the big internet companies are racing against the clock. Alibaba launched the offensive in the six months after announcing the big data-sharing platform. But even the pioneers of the industry, as well as the Big Data era, "in order to meet the coming Big Data era, major Internet companies are racing against the clock." Alibaba launched the offensive in the six months after announcing the big data-sharing platform. But even the pioneers of the industry, there is no small distance from the big data age. "Just past 2012, ...

According to foreign media reports, as a data scientist at Greylock of the Silicon Valley venture company, DJ Patil (DJ Patil) is aware of how the deluge of data has changed the way VCs operate. The former chief scientist at LinkedIn said the venture is still a courageous and intuitive business, but data-mining technology can help VCs become more efficient. on how to use large data to capture the next big trend, Patil received an interview with the Wall Street Journal, following an interview summary: Q: ...

St Rand Technology (Thinkland Marvell) was founded in February 2010, headquartered in Suzhou Industrial Park, is a professional engaged in data services, smart phone hardware and software development of High-tech enterprises. Its aggregated data platform is a leading mobile data service provider, a comprehensive cloud data platform for smartphone developers, webmaster, mobile device developers and graphics providers to provide raw data API services. Includes mobile phone aggregation, website aggregation, lbs aggregation of three parts, its function is similar to Google APIS. Csdn recently interviewed Sue ...

In order to meet this demand, data mining technology has made great progress, and classification in data mining is a very important task, currently in the commercial application of the most. This paper mainly focuses on the comparison of the effect of classification algorithm in data mining, through simple experiment (using open source Data Mining tool-weka) to verify the effect of different classification algorithms, to help the novice to understand the characteristics of different classification algorithms, and to master the use of open source data mining tools. Classification algorithm is a method of solving classification problem, which is data mining, machine learning and http://www.aliy ...

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 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, ...