A novel knowledge discovery approach based on theory architecture

作者：Tang, Zhi-Hang; Li, Rong-Jun

来源：International Review on Computers and Software, 2012, 7(2): 606-611.

• Problem Solving methods
• Semantic gap
• Statistical sampling theories

Monte Carlo is a method that approximately solves mathematic or physical problems by statistical sampling theory. Inspired by the Monte Carlo thinking and psychological facts, architecture of theories and appropriate knowledge acquisition and problem solving methods are advanced. Semantic gap and non-monotonic can be effectively handled with the architecture. Knowledge acquisition and problem solving can be greatly enhanced in efficiency and accuracy by implementing the architecture because of the bridging of incoherence by the theory architecture.

• 出版日期2012
• 单位华南理工大学