Data Mining (DM) Overview

Although I have finished data mining, I have to really ask myself how much I know about DM, but I cannot answer anything!

A few days before the test, I started to read the Chinese version. To tell the truth, the original English teaching material looks really hard. Even if your English level is high enough, is your computer professional level high enough? They are not high, so reading tianshu is a concept.

Although data pre-processing and data warehouse construction are necessary, it is important to mine association rules. This is actually very practical, for example, it is applied to the actual e-shopping data analysis to discover users' purchase preferences. Based on this, you will understand why the mentor of data mining can also attach the "E-Commerce" direction to his own research direction, ask some students to come over (-_______-''' hope the tutor will not see this sentence !).

In fact, the combination of DM and e-commerce is only a branch of Web data mining. Web Data Mining is only one of the many DM applications.

Web Data Mining involves web content mining, Web Structure Mining, and web usage record mining. The previous two researches have produced many achievements. For example, Web Structure Mining is a technology used by various search engines.AlgorithmIncluding hits and Google PageRank. The Research on Web application record mining is relatively small, or it may be because E-commerce is not yet mature. Therefore, in the future, we still need to study some data mining records on web usage. The research on human behavior is not so good. Just like artificial intelligence, if technology needs to reach a certain level, it is subject to the development of various peripheral technologies.

For some algorithms in data mining, I think they are still very widely used and very practical. Just like the foreign social music website last. FM, which is cool enough, it can discover your "Music DNA" by analyzing the records of users' songs ". Douban in China is also used to explore your preferences through the history of reading, watching movies, and listening to music, and to recommend other books, movies, and music you may like. Nothing. It's just data mining.

The library saw a book saying that Bi (Business Intelligence) will become the core value of the IT field in the next few years! Haha, it feels good, because DM is a key to bi.

Bright future! What you owe is just calm down and study it in a down-to-earth manner! That's it.