Large Data features PPV class

Users of large data analysis have large data analysis experts, there are also ordinary users, but data analyst training both for large data analysis of the most basic requirements is visual analysis, because visual analysis can visually present large data characteristics, and can be very easy to be accepted by the reader, as http:// Www.aliyun.com/zixun/aggregation/12897.html "> Look at the picture and speak as simple and clear.

The core of the theory of large data analysis is data mining algorithm, various data mining algorithms based on different data types and formats can more scientifically show the characteristics of the data itself, and it is because these are recognized by the world statisticians all kinds of statistical methods (can be called the Truth) to deep into the data inside, Dig out the accepted value. Another aspect is because of these data mining algorithms to faster processing of large data, if an algorithm takes several years to come to a conclusion, the value of that large data can not be said.

One of the final applications of large data analysis is predictive analysis, which is to excavate the characteristics from large data, and then the model can be brought into new data to predict future data.

Large data analysis is widely used in network data mining, from the user's search keywords, tag keywords, or other input semantics, analysis, to determine user needs, so as to achieve better user experience and advertising matching. Large data analysis can not be separated from data quality and data management, high-quality data and effective data management, whether in academic research or commercial applications, are able to ensure that the results of the analysis of the real and valuable.

Large data analysis is based on the above five aspects, of course, more in-depth data analyst, there are many more features, more in-depth, more professional large data analysis methods.