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Large Data Technology stickers: Building a guided data mining model

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 ...

Large Data Technology stickers: Building a guided data mining model

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 classes ...

Cloud practice and large data outlook

Zhang Fubo: The following part of the forum is mainly four guests, talk about cloud practice. Beijing First Letter Group is the Beijing government's integration company, mainly responsible for the capital window of the construction, they are also in the domestic, in the government industry earlier in a company, as the first letter Group Technical Support Center General Manager Zhang Ninglai for us to do the report. Zhang: Good afternoon, we have just introduced, I am from Beijing First Letter Development Co., Ltd., I bring today is the result of our practice in cloud computing technology these years. Today is mainly divided into three parts, we mainly do is the field of e-government applications, we are mainly ...

Recognize 10 big mistakes of big data

Large data dominate the current technology news, and it is touted as a possible solution to all problems, from intrusion detection and fraud prevention to cancer treatment and the setting of optimal product prices. But we define large amounts, multiple formats, and high speed data that are not the panacea for every problem.   In fact, if the company superstitions around some of the big data myths, it may go further in the wrong direction, wasting a lot of time and money, affecting the company's market competitive position, or damaging the company's reputation. The following is the enterprise should know the surrounding ...

Avoiding investment waste and recognizing the 10 big mistakes of large data

Large data dominate the current technology news, and it is touted as a possible solution to all problems, from intrusion detection and fraud prevention to cancer treatment and the setting of optimal product prices. But we define large amounts, multiple formats, and high speed data that are not the panacea for every problem. In fact, if the company superstitions around some of the big data myths, it may go further in the wrong direction, wasting a lot of time and money, affecting the company's market competitive position, or damaging the company's reputation. The following are the 10 largest companies that should know about the big data ...

Avoiding investment waste and recognizing the 10 big mistakes of large data

Large data dominate the current technology news, and it is touted as a possible solution to all problems, from intrusion detection and fraud prevention to cancer treatment and the setting of optimal product prices. But we define large amounts, multiple formats, and high speed data that are not the panacea for every problem. In fact, if the company superstitions around some of the big data myths, it may go further in the wrong direction, wasting a lot of time and money, affecting the company's market competitive position, or damaging the company's reputation. The following are the 10 largest companies that should know about the big data ...

Data import HBase Three most commonly used methods and practice analysis

To use Hadoop, data consolidation is critical and hbase is widely used. In general, you need to transfer data from existing types of databases or data files to HBase for different scenario patterns. The common approach is to use the Put method in the HBase API, to use the HBase Bulk Load tool, and to use a custom mapreduce job. The book "HBase Administration Cookbook" has a detailed description of these three ways, by Imp ...

Post-large data age: from it to the user-oriented role transition

The implementation of the "TechTarget China original" Large data solution has put many IT departments in a dilemma. Large data applications do not require the same infrastructure as the support team does for applications. As companies accept big data, management assumes that the size of their workforce will be reduced. And what do non-essential technicians do? One answer is to transform it into a technical advisor and collaborate with the business unit. In other words, it's giving them a customer-facing role. The state of information technology after large data &nbs ...

Hadoop cluster enables data analysis platform

Eckerson Wayne, a consultant, says Hadoop provides a platform for easier control of individual data analysis and Spreadmart (report marts) built by business users, while giving them a place to perform self-service analysis. Spreadmart is the abbreviation of ToolStrip Data mart, in the field of business intelligence, refers to the different power created by many individuals and teams ...

Hadoop cluster enables large data analysis platform

Eckerson Wayne, a consultant, says Hadoop provides a platform where dynamic environmental monitoring provides more convenient control for individual data analysis and Spreadmart (report marts) established by business users, while also allowing them to have local self-service analysis. Spreadmart is the abbreviation of ToolStrip Data mart, in the field of business intelligence, the different spreadsheets that multiple individuals and teams create.   Because the data is inconsistent, it brings a lot of trouble to the business. ...

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