Shulou(Shulou.com)06/03 Report--

What are the characteristics of data mining? Many people do not quite understand that data mining is based on the five characteristics of large amount of data, extraordinary, implicit, novelty and value. Data mining is to discover the knowledge hidden in the data, not the information that directly appears on the surface of the data. Mining results must bring direct or indirect benefits to the enterprise. In order to give you a better understanding of the characteristics of data mining, the editor summarizes the following contents. Let's look down together.

Characteristics of data mining:

1. Based on a large amount of data

This is not to say that mining can not be carried out on a small amount of data. in fact, most data mining algorithms can run on a small amount of data and get results. However, too small amount of data can be summarized by manual analysis, on the other hand, a small amount of data often can not reflect the general characteristics of the real world.

2. Extraordinariness

The knowledge unearthed should not be simple, and it must not be similar to what a famous sports commentator said, "after my calculation." Many novice data miners who do not understand business knowledge often make this mistake.

3. Implicature

Data mining is to discover the knowledge hidden inside the data, not the information that appears directly on the surface of the data. Common BI tools, such as reports and OLAP, allow users to find this information.

4. Novelty

The unearthed knowledge should be previously unknown, otherwise it only validates the experience of business experts. Only new knowledge can help enterprises gain further insight.

5. Value

The mining results must bring direct or indirect benefits to the enterprise. Some people say that data mining is just a "skill of killing dragons". It looks amazing, but it is of no use. This is a misunderstanding that in some data mining projects, either because of the lack of clear business objectives, or because of the lack of data quality, or because of people's resistance to changing business processes, or because of the lack of experience of the miners, will lead to poor or no effect at all. However, a large number of successful cases have also proved that data mining can indeed become a sharp tool to improve efficiency.

The significance of data mining: data mining does not stay in the original sampling, but according to the overall data mining and analysis. The new model collects massive, rapid and diversified data, which brings more accurate and effective data for enterprises, and enables enterprises to make decisions more accurately.

These are the details of the characteristics of data mining, and are there any gains after reading them? If you want to know more about it, welcome to the industry information!

Welcome to subscribe "Shulou Technology Information " to get latest news, interesting things and hot topics in the IT industry, and controls the hottest and latest Internet news, technology news and IT industry trends.