A Study on the Application of Data Mining in the Patent Information Analysis for Company

2010 ◽  
Author(s):  
Huang Lucheng ◽  
Yuan Yanhua ◽  
Zhao Zhihua
Keyword(s):  
Data Mining ◽  
Information Analysis ◽  
Patent Information

Chance Information Analysis of a Residential Building Development Case

2013 ◽  
Vol 694-697 ◽  
pp. 2530-2534
Author(s):  
Xiao Hong Xie ◽  
Yong Li
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Information Age ◽  
Residential Building ◽  
Data Mining Algorithm ◽  
Information Analysis ◽  
Mining Algorithm ◽  
Human Decision

In todays information age, information is wealth, especially the rare but significant chance information for human decision making. And the significant chance information is usually gained by analyzing the scenario graph which is generated by processing the data with a data mining algorithm. So the data mining algorithm is critical to create scenario graph and to obtain valuable information from mass of data. IdeaGraph is a data mining algorithm that not only works on discovering rare and significant chances, but also focuses on uncovering latent relationship among them, it can generate a rich scenario graph for humans comprehension, interpretation and innovation. In this paper, an experiment about residential building development case is performed to evaluate the effect of IdeaGraph in this field.

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