Research and Application of Data Mining Technology Used in the Analysis of Smart Home User Behavior

At home and abroad, smart home, after more than ten years development is getting more and more attention and favor. With the rapid development of smart home, a huge amount of life data have been accumulated, and these data include a lot of information about user behavior, they can reflect the user´s activity truly and objectively, but these data exist in different data sources, such as computers, smart phones, smart televisions and so on. Most of the current user behavior analyses are aimed at single data source, so it is difficult to meet the demand for isomerization data. This paper targets at isomerization data from different data sources, and makes the right model to find out the characteristics of user behavior.