本文针对目前数据挖掘所面临的机遇和挑战,提出了数据挖掘“逆问题猜想”和数据挖掘“磁铁效应猜想”。这两个猜想构成相互关联的统一的有机体,本质上是围绕解决“海量”这一难题。本文讨论了猜想研究的基础,实现的可行性以及可能的研究内容。
Aiming at the opportunities and challenges faced by data mining research, "reverse problem conjecture" and "magnet effect conjecture" are proposed. These two correlated conjectures constitute a unified organism. And the essence of the conjectures is to solve the problem of huge volume data. Furthermore, the foundation, reliability and possible directions are also discussed.