Data mining processing method
A processing method and data mining technology, applied in the Internet field, can solve problems such as difficult to find out the relationship, high speed and high timeliness, simple target activity trajectory and complex, etc., and achieve the effect of low operation and maintenance costs
Inactive Publication Date: 2016-09-07
成都数联铭品科技有限公司
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[0002] With the development of society and the advancement of science and technology, the connection between individuals or groups has become closer, and the close connection has promoted the rapid dissemination and growth of information. Today's world has already entered the information age. Growth and accumulation, the era of big data is approaching, the basic characteristics of big data can be described by four "V", that is, large data volume (Volume), various types (Variety), low value density (Value), fast speed and timeliness High (Velocity); as the most important feature: the large amount of data and low value density are the problems that plague the mining and utilization of such massive data information. In the massive data, how to accurately obtain the information that people care about is like finding a needle in a haystack There are many difficulties; at the same time, in the face of massive information, how to analyze the correlation between certain types of information, and use this to analyze the hidden value behind the information. In big data, correlation is more important than causality, and correlation is in man
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[0067]The following three pieces of data are used as a small example to illustrate the analysis process of the association relationship. Assuming that the original data is extracted by fields (the set fields include: the first field, the second field, the third field and the fourth field), the extracted data contains such as Figure 4 In the three data records shown, the information contents corresponding to the first field, second field, third field and fourth field included in the first data record are: A, B, D and E; the second data The information contents corresponding to the first field, second field, third field and fourth field contained in the record are: C, B, F and G; the first field, second field, The information contents corresponding to the third field and the fourth field are: H, F, I in sequence. Assuming that the content corresponding to the first field is used as the starting point of the association analysis, the first data record can form: A-B, A-D, A-E on...
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The invention relates to the technical field of internet information processing, in particular to a data mining processing method. By setting filtering conditions of fields and the like, key information units in each document of original data are extracted and corresponding data records are formed; the data records are stored in a database; and based on this, associated information of target information and corresponding associated paths are obtained by extension according to the same information units contained in different data records. According to the method, an associative relationship hidden in massive target information can be analyzed as needed in massive internet information; a very reliable and convenient way is provided for deep mining and application of data information; and effective technical support is provided for target background analysis, market promotion, market segmentation, risk prediction and prevention control, and the like.
Description
technical field [0001] The present invention relates to the technical field of the Internet, in particular to a data mining processing method. Background technique [0002] With the development of society and the advancement of science and technology, the connection between individuals or groups has become closer, and the close connection has promoted the rapid dissemination and growth of information. Today's world has already entered the information age. Growth and accumulation, the era of big data is approaching, the basic characteristics of big data can be described by four "V", that is, large data volume (Volume), various types (Variety), low value density (Value), fast speed and timeliness High (Velocity); as the most important feature: the large amount of data and low value density are the problems that plague the mining and utilization of such massive data information. In the massive data, how to accurately obtain the information that people care about is like finding...
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CPCG06F16/90335G06F16/951
Inventor 范东来何宏靖
Owner 成都数联铭品科技有限公司
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